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Two Monte Carlo-based simulators for imaging-system modeling and projection simulation of flat-panel X-ray source

Nuclear Science and Techniques 2024年第7期35卷 31-46页

作者： Meng-Ke Qi Ting He Yi-Wen Zhou Jing Kang Zeng-Xiang Pan Song Kang Wang-Jiang Wu Jun Chen Ling-Hong Zhou Yuan Xu School of biomedical Engineering Southern Medical UniversityGuangzhou510515China State key laboratory of Optoelectronic Materials and Technologies Guangdong Province Key Laboratory of Display Material and TechnologySchool of Electronics and Information TechnologySun Yat-sen UniversityGuangzhou510275China Department of Radiotherapy Guangdong Provincial People’s Hospital(Guangdong Academy of Medical Sciences)Southern Medical UniversityGuangzhou510515China

The advantages of a flat-panel X-ray source(FPXS)make it a promising candidate for imaging *** imaging-system modeling and projection simulation are critical for analyzing imaging performance and resolving overlapping projection issues in *** conventional analytical ray-tracing approach is limited by the number of patterns and is not applicable to FPXS-projection ***,the computation time of Monte Carlo(MC)simulation is independent of the size of the patterned arrays in *** study proposes two high-efficiency MC projection simulators for FPXS:a graphics processing unit(GPU)-based phase-space sampling MC(gPSMC)simulator and GPU-based fluence sampling MC(gFSMC)*** two simulators comprise three components:imaging-system modeling,photon initialization,and physical-interaction simulations in the ***-system modeling was performed by modeling the FPXS,imaging geometry,and *** gPSMC simulator samples the initial photons from the phase space,whereas the gFSMC simulator performs photon initialization from the calculated energy spectrum and fluence *** entire process of photon interaction with the geometry and arrival at the detector was simulated in parallel using multiple GPU kernels,and projections based on the two simulators were *** accuracies of the two simulators were evaluated by comparing them with the conventional analytical ray-tracing approach and acquired projections,and the efficiencies were evaluated by comparing the computation *** results of simulated and realistic experiments illustrate the accuracy and efficiency of the proposed gPSMC and gFSMC simulators in the projection calculation of various phantoms.

关键词： Flat-panel X-ray source(FPXS) imaging-system modeling Projection simulation Monte Carlo-based simulators

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Semi-implantable device based on multiplexed microfilament electrode cluster for continuous monitoring of physiological ions

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Bio-Design and Manufacturing 2024年第1期7卷 88-103页

作者： Shuang Huang Shantao Zheng Mengyi He Chuanjie Yao Xinshuo Huang Zhengjie Liu Qiangqiang Ouyang Jing Liu Feifei Wu Hang Gao Xi Xie Hui-jiuan Chen State key laboratory of Optoelectronic Materials and Technologies Guangdong Province Key Laboratory of Display Material and TechnologySchool of Electronics and Information TechnologySun Yat-Sen UniversityGuangzhou 510006China guangdong provincial key laboratory of Sensor Technology and biomedical Instrument School of Biomedical EngineeringSun Yat-Sen UniversityShenzhen 518107China The First Affiliated Hospital of Sun Yat-Sen University Guangzhou 510080China Pazhou Lab Guangzhou 510335China Institute of Microelectronics of the Chinese Academy of Sciences Beijing 100029China

Modern medicine is increasingly interested in advanced sensors to detect and analyze biochemical *** sensors based on potentiometric methods are a promising platform for monitoring physiological ions in biological *** semi-implantable devices are mainly based on single-parameter *** semi-implantable electrodes for multiparameter sensing have more restrictions on the electrode size due to biocompatibility considerations,but reducing the electrode surface area could potentially limit electrode *** study developed a semi-implantable device system comprising a multiplexed microfilament electrode cluster(MMEC)and a printed circuit board for real-time monitoring of intra-tissue K^(+),Ca^(2+),and Na^(+)*** electrode surface area was less important for the potentiometric sensing mechanism,suggesting the feasibility of using a tiny fiber-like electrode for potentiometric *** MMEC device exhibited a broad linear response(K^(+):2–32 mmol/L;Ca^(2+):0.5–4 mmol/L;Na^(+):10–160 mmol/L),high sensitivity(about 20–45 mV/decade),temporal stability(>2weeks),and good selectivity(>80%)for the above *** vitro detection and in vivo subcutaneous and brain experiment results showed that the MMEC system exhibits good multi-ion monitoring performance in several complex *** work provides a platform for the continuous real-time monitoring of ion fluctuations in different situations and has implications for developing smart sensors to monitor human health.

关键词： Multiplexed microfilament electrode cluster Physiological ion sensing Subcutaneous and brain experiment Wearable platform for multi-ion detection Continuous real-time monitoring system

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A multifunctional nanoaggregate-based system for detection of rheumatoid arthritis via Optoacoustic/NIR-Ⅱ fluorescent imaging and therapy via inhibiting JAK-STAT/NF-κB/NLRP3 pathways

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Aggregate 2024年第1期5卷 353-366页

作者： Junjie Chen Longqi Chen Zunpan She Fang Zeng Shuizhu Wu biomedical Division State Key Laboratory of Luminescent Materials and DevicesGuangdong Provincial Key Laboratory of Luminescence from Molecular AggregatesCollege of Materials Science and EngineeringSouth China University of TechnologyGuangzhouChina

Rheumatoid arthritis(RA)is a debilitating autoimmune disease that causes chronic pain and serious complications,presenting a significant challenge to *** approaches for treating RA involve signaling pathways modulation and targeted *** this end,a multifunctional nanosystem,TPC-U@HAT,has been designed for RA therapy,featuring multitargeting,dual-stimuli response,and on-demand drug release ***-U@HAT is composed of a probe/prodrug TPC,a JAK1 kinase inhibitor upadacitinib,and the drug carrier *** is composed of an aggregation-induced emission(AIE)-active NIR-II chromophore TPY and an NF-κB/NLRP3 inhibitor caffeic acid phenethyl ester(CAPE),connected via boronic ester bond which serves as the reactive-oxygen-species-responsive *** carrier,HAT,is created by grafting bone-targeting alendronate and hydrophobic tocopheryl succinate onto hyaluronic acid chains,which can encapsulate TPC and upadacitinib to form TPC-U@*** intravenous injection into mice,TPC-U@HAT accumulates at inflamed lesions of RA through both active and passive targeting,and the overexpressed hyaluronidase and H_(2)O_(2) therein cleave the hyaluronic acid polymer chains and boronate bonds,*** generates an AIE-active chromophore for detection and therapeutic evaluation of RA via both optoacoustic imaging and NIR-II fluorescent imaging and concomitantly releases CAPE and upadacitinib to exert efficacious therapy by inhibiting NF-κB/NLRP3 and JAK-STAT pathways.

关键词： aggregation-induced emission dual-stimuli response multispectral optoacoustic tomography imaging multitargeting NIR-II fluorescence imaging rheumatoid arthritis

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Broadband,Polarization-Sensitive,and Self-Powered High-Performance Photodetection of Hetero-Integrated MoS_(2)on Lithium Niobate

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Research 2024年第2期2023卷 203-212页

作者： Zhigang He Heyuan Guan Xijie Liang Junteng Chen Manyan Xie Kaiwen Luo Ran An Liang Ma Fengkai Ma Tiefeng Yang Huihui Lu guangdong provincial key laboratory of Optical Fiber Sensing and Communications Jinan UniversityGuangzhou 510632China key laboratory of Optoelectronic information and Sensing Technologies of guangdong Higher Education Institutes Jinan UniversityGuangzhou 510632China institute of Fluid Physics China Academy of Engineering PhysicsMianyang 621900China College of Physics and Electronic Engineering Hengyang Normal UniversityHengyang 421008China

High-performance photodetectors hold promising potential in optical communication and imaging ***,conventional counterparts are suffering narrow detection range,high power consumption,and poor polarization *** originating from switchable polarization in ferroelectrics can be used to optimize the photo-to-electric procedure and improve the photodetection *** this regard,we constructed a configuration by integrating 2-dimensional molybdenum disulfide(MoS_(2))with ferroelectric lithium niobate(LiNbO_(3)),resulting in the MoS_(2)/LiNbO_(3)heterostructured *** from the pyroelectric effect of LiNbO_(3),the limitation of bandgap on the detection range can be broken,thus broadening the response band of the detector to 365 to 1,064 nm,as well as enabling the self-powered ***,high carrier mobility and decent light absorbance of MoS_(2)introduce robust light-matter interactions with the underlying LiNbO_(3),leading to ultrafast rise/fall times of≈150μs/250μs and switching ratios of up to≈***,the highest responsivity,specific detectivity,and external quantum efficiency achieved were 17.3 A·W^(-1),4.3×10^(11)Jones,and 4,645.78%,***,because of the anisotropy of the spontaneous-polarized LiNbO_(3)substrate,the photocurrent of the device achieved a dichroic ratio of 7.42,comparing favorably to most MoS_(2)-based *** work demonstrates the integration potential between ferroelectric LiNbO_(3)and 2-dimensional materials for high-performance photodetection.

关键词： polarization ferroelectric Polarization

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Knowledge-embedded spatio-temporal analysis for euploidy embryos identification in couples with chromosomal rearrangements

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Chinese Medical Journal 2024年第6期137卷 694-703页

作者： Fangying Chen Xiang Xie Du Cai Pengxiang Yan Chenhui Ding Yangxing Wen Yanwen Xu Feng Gao Canquan Zhou Guanbin Li Qingyun Mai Reproductive Medicine Center The First Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong 510080China guangdong provincial key laboratory of Reproductive Medicine GuangzhouGuangdong 510080China School of Computer Science and Engineering Sun Yat-sen UniversityGuangzhouGuangdong 510006China Department of General Surgery(Colorectal Surgery) The Sixth Affiliated Hospital of Sun Yat-sen UniversityGuangzhouGuangdong 510655China guangdong provincial key laboratory of Colorectal and Pelvic Floor Diseases The Sixth Affiliated HospitalSun Yat-sen UniversityGuangzhouGuangdong 510655China biomedical Innovation Center The Sixth Affiliated HospitalSun Yat-sen UniversityGuangzhouGuangdong 510655China Shanghai Artificial Intelligence laboratory Shanghai 200232China

Background:The goal of the assisted reproductive treatment is to transfer one euploid blastocyst and to help infertile women giving birth one healthy *** algorithms have been used to assess the ploidy status of embryos derived from couples with normal chromosome,who subjected to preimplantation genetic testing for aneuploidy(PGT-A)***,it is currently unknown whether artificial intelligence model can be used to assess the euploidy status of blastocyst derived from populations with chromosomal ***:From February 2020 to May 2021,we collected the whole raw time-lapse videos at multiple focal planes from in vitro cultured embryos,the clinical information of couples,and the comprehensive chromosome screening results of those blastocysts that had received PGT ***,we developed a novel deep learning model called the Attentive Multi-Focus Selection Network(AMSNet)to analyze time-lapse videos in real time and predict blastocyst *** upon AMSNet,we integrated additional clinically predictive variables and created a second deep learning model,the Attentive Multi-Focus Video and Clinical information Fusion Network(AMCFNet),to assess the euploidy status of *** efficacy of the AMCFNet was further tested in embryos with parental chromosomal *** receiver operating characteristic curve(ROC)was used to evaluate the superiority of the ***:A total of 4112 embryos with complete time-lapse videos were enrolled for the blastocyst formation prediction task,and 1422 qualified blastocysts received PGT-A(n=589)or PGT for chromosomal structural rearrangement(PGT-SR,n=833)were enrolled for the euploidy assessment task in this *** AMSNet model using seven focal raw time-lapse videos has the best real-time *** real-time accuracy for AMSNet to predict blastocyst formation reached above 70%on the day 2 of embryo culture,and then increased to 80%on the day 4 of embryo ***

关键词： Euploidy status Embryo Time-lapse imaging Deep learning Spatio-temporal analysis Preimplantation genetic testing for chromosomal structural rearrangement

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Ionically Imprinting-Based Copper(Ⅱ)Label-Free detection for Preventing Hearing Loss

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Engineering 2024年第2期33卷 276-282页

作者： Huan Wang Hui Zhang Xiaoli Zhang Hong Chen Ling Lu Renjie Chai The Eighth Affiliated Hospital Sun Yat-Sen UniversityShenzhen 518033China State key laboratory of Digital Medical Engineering Department of Otolaryngology Head and Neck SurgeryZhongda Hospital&Advanced Institute for Life and HealthSoutheast UniversityNanjing 210096China guangdong key laboratory for biomedical Measurements and ultrasound imaging Department of Biomedical EngineeringShenzhen UniversityShenzhen 518060China Department of Otolaryngology Head and Neck Surgery Jiangsu Provincial Key Medical DisciplineNanjing Drum Tower HospitalThe Affiliated Hospital of Nanjing University Medical SchoolNanjing 210008China Co-Innovation Center of Neuroregeneration Nantong UniversityNantong 226001China Department of Otolaryngology Head and Neck Surgery Sichuan Provincial People's HospitalUniversity of Electronic Science and Technology of ChinaChengdu 610072China Institute for Stem Cell and Regeneration Chinese Academy of ScienceBeijing 100101China Beijing key laboratory of Neural Regeneration and Repair Capital Medical UniversityBeijing 100069China

Copper is a microelement with important physiological functions in the ***,the excess copper ion(Cu^(2+))may cause severe health problems,such as hair cell apoptosis and the resultant hearing ***,the assay of Cu^(2+)is *** integrate ionic imprinting technology(IIT)and structurally colored hydrogel beads to prepare chitosan-based ionically imprinted hydrogel beads(IIHBs)as a low-cost and high-specificity platform for Cu^(2+)*** IIHBs have a macroporous microstructure,uniform size,vivid structural color,and magnetic *** incubated in solution,IIHBs recognize Cu^(2+)and exhibit a reflective peak change,thereby achieving label-free *** addition,benefiting from the IIT,the IIHBs display good specificity and selectivity and have an imprinting factor of 19.14 at 100μmol·L^(-1).These features indicated that the developed IIHBs are promising candidates for Cu^(2+)detection,particularly for the prevention of hearing loss.

关键词： Structural color Microfluidics Ionic imprinting Label-free detection Hearing loss

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RSPSSL:A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization

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Light(Science & Applications) 2024年第2期13卷 366-386页

作者： Jiaqi Hu Gina Jinna Chen Chenlong Xue Pei Liang Yanqun Xiang Chuanlun Zhang Xiaokeng Chi Guoying Liu Yanfang Ye Dongyu Cui De Zhang Xiaojun yu Hong Dang Wen Zhang Junfan Chen Quan Tang Penglai Guo Ho-Pui Ho Yuchao Li Longqing Cong Perry Ping Shum State key laboratory of Optical Fiber and Cable Manufacture Technology Guangdong Key Laboratory of Integrated Optoelectronics IntellisenseDepartment of EEESouthern University of Science and TechnologyShenzhen 518055China College of Optical and Electronic Technology China Jiliang UniversityHangzhou 310018China Department of Nasopharyngeal Carcinoma Sun Yat-sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapyGuangzhou 510060China Department of Ocean Science and Engineering Southern University of Science and TechnologyShenzhen 518055China Department of Nephrology Chaozhou People’s HospitalChaozhou 521011China Clinical Research Design Division Sun Yatsen Memorial HospitalGuangzhouGuangdong 510120China School of Automation Northwestern Polytechnical UniversityXi’anShaanxi 710072China Department of biomedical Engineering The Chinese University of Hong KongHong KongChina guangdong provincial key laboratory of Nanophotonic Manipulation Institute of NanophotonicsJinan UniversityGuangzhou 511443China

Raman spectroscopy has tremendous potential for material analysis with its molecular fingerprinting capability in many branches of science and *** is also an emerging omics technique for metabolic profiling to shape precision ***,precisely attributing vibration peaks coupled with specific environmental,instrumental,and specimen noise is *** Raman spectral preprocessing to remove statistical bias noise and sample-related errors should provide a powerful tool for valuable information ***,we propose a novel Raman spectral preprocessing scheme based on self-supervised learning(RSPSSL)with high capacity and spectral *** can preprocess arbitrary Raman spectra without further training at a speed of~1900 spectra per second without human *** experimental data preprocessing trial demonstrated its excellent capacity and signal fidelity with an 88%reduction in root mean square error and a 60%reduction in infinite norm(L__(∞))compared to established *** this advantage,it remarkably enhanced various biomedical applications with a 400%accuracy elevation(ΔAUC)in cancer diagnosis,an average 38%(few-shot)and 242%accuracy improvement in paraquat concentration prediction,and unsealed the chemical resolution of biomedical hyperspectral images,especially in the spectral fingerprint *** precisely preprocessed various Raman spectra from different spectroscopy devices,laboratories,and diverse *** scheme will enable biomedical mechanism screening with the label-free volumetric molecular imaging tool on organism and disease metabolomics profiling with a scenario of high throughput,cross-device,various analyte complexity,and diverse applications.

关键词： spectral scheme resolution

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Multiple valence states of Fe boosting SERS activity of Fe_(3)O_(4)nanoparticles and enabling effective SERS-MRI bimodal cancer imaging

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Fundamental Research 2024年第4期4卷 858-867页

作者： Jie Lin Xuehua Ma Anran Li Ozioma Udochukwu Akakuru Chunshu Pan Meng He Chenyang Yao Wenzhi Ren Yanying Li Dinghu Zhang Yi Cao Tianxiang Chen Aiguo Wu Cixi Institute of biomedical Engineering International Cooperation Base of Biomedical Materials Technology and ApplicationChinese Academy of Science Key Laboratory of Magnetic Materials and DevicesZhejiang Engineering Research Center for Biomedical MaterialsNingbo Institute of Materials Technology and EngineeringCASNingbo315201China School of Engineering Medicine Key Laboratory of Big Data-Based Precision Medicine(Beihang University)Ministry of Industry and Information TechnologyBeihang UniversityBeijing100191China Advanced Energy Science and Technology guangdong laboratory Huizhou 516000China University of Chinese Academy of Sciences Bejing 100049China

Developing novel nanoparticle-based bioprobes utilized in clinical settings with imaging resolutions ranging from cell to tissue levels is a major challenge for tumor diagnosis and ***,an optimized strategy for designing a Fe_(3)O_(4)-based bioprobe for dual-modal cancer imaging based on surface-enhanced Raman scattering(SERS)and magnetic resonance imaging(MRI)is *** SERS activity of ultrasmall Fe_(3)O_(4)nanoparticles(NPs)was discovered,and a 5×10^(-9)M limit of detection for crystal violet molecules was successfully *** high-efficiency interfacial photon-induced charge transfer in Fe_(3)O_(4)NPs was promoted by multiple electronic energy levels ascribed to the multiple valence states of Fe,which was observed using ultraviolet-visible diffuse reflectance *** functional theory calculations were utilized to reveal that the narrow band gap and high electron density of states of ultrasmall Fe_(3)O_(4)NPs significantly boosted the vibronic coupling resonances in the SERS system upon *** subtypes of cancer cells were accurately recognized via high-resolution SERS imaging in vitro using the prepared Feg Og-based bioprobe with high sensitivity and good ***,Fe_(3)O_(4)-based bioprobes simultaneously exhibited T,-weighted MRI contrast enhancement with an active targeting capability for tumors in *** the best of our knowledge,this is the first report on the use of pure semiconductor-based SERS-MRI dual-modal nanoprobes in tumor imaging in vivo and in vitro,which has been previously realized only using semiconductor-metal complex *** non-metallic materials with SERS-MRI dual-modal imaging established in this report are a promising cancer diagnostic platform,which not only showed excellent performance in early tumor diagnosis but also possesses great potential for image-guided tumor treatment.

关键词： Fe_(3)O_(4)NPs SERS-MRI dual-modal nanoprobes PICT Multiple valence states Cancer diagnosis

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Multidisciplinary and multiscale nanoscience research roadmap based on large scientific facilities

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Science China Chemistry 2024年第8期67卷 2497-2523页

作者： Yuan Zeng Shuhan Zhang Yuecong Guo Yalin Cong Xu Ding Peihua Li Yunxiang Lin Wenzhi Ren Hui Su Weigang Sun Liuxin Xu Guikai Zhang Shihua Chen Yu Chen Weiren Cheng Shengqi Chu Yong Guan Jinru Han Jie Lin Hengjie Liu Zheyi Liu Pan Luo Fanchun Meng Sicong Qiao Zongyin Song Ying Wang Zhao Wu Chenyu Yang Meng Yang Shirui Yang Zi Yin Zhibin Yin Pengjun Zhang Hongyu Zhang Pingping Zheng Jia Zhou Wanlin Zhou Pengfei An He Cheng Chunhai Fan Xingjiu Huang Yong Lei Lina Li Mu Li Qinghua Liu Shuming Peng Li Song Zhihu Sun Yangchao Tian Fangjun Wang Lihua Wang Liming Wang Shiqiang Wei Aiguo Wu Chunlei Xiao Xueming Yang Panchao Yin Jing Zhang Mingxin Zhang Yaling Wang Chunying Chen CAS key laboratory for biomedical Effects of Nanomaterials and Nanosafety New Cornerstone Science LaboratoryNational Center for Nanoscience and TechnologyBeijing 100190China University of Chinese Academy of Sciences Beijing 100049China National Synchrotron Radiation laboratory University of Science and Technology of ChinaHefei 230029China Institute of Solid State Physics Hefei Institutes of Physical ScienceChinese Academy of SciencesHefei 230031China Institutes of Physical Science and information Technology Anhui UniversityHefei 230601China Ningbo key laboratory of biomedical imaging Probe Materials and Technology Zhejiang International Cooperation Base of Biomedical Materials Technology and ApplicationCAS Key Laboratory of Magnetic Materials and DevicesNingbo Cixi Institute of Biomedical EngineeringZhejiang Engineering Research Center for Biomedical MaterialsNingbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingbo 315201China Advanced Energy Science and Technology guangdong laboratory Huizhou 516000China College of Chemistry and Chemical Engineering Hunan Normal UniversityChangsha 410081China State key laboratory of Luminescent Materials and Devices South China Advanced Institute for Soft Matter Science and TechnologySouth China University of TechnologyGuangzhou 510640China Beijing Synchrotron Radiation Facility Institute of High Energy PhysicsChinese Academy of SciencesBeijing 100049China CAS key laboratory of Separation Sciences for Analytical Chemistry Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China State key laboratory of Molecular Reaction Dynamics Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian 116023China Institute of Advanced Science Facilities Shenzhen 518107China State key laboratory of Coal Conversion Institute of Coal ChemistryChinese Academy of SciencesTaiyuan 030001China State key laboratory of Particle detection and Electronics Institute of High Energy PhysicsChinese Acade

With the advancement of modern science and technology, large scientific facilities are increasingly oriented toward demand and application, and can be used for basic research as well as serving multiple disciplines. Developing large scientific facilities and related analytical technologies enhances understanding of large scientific facilities and popularizes their application in research across multiple disciplines. The combination of light or neutron sources from large scientific facilities and advanced analytical technologies can be achieved for materials structure information, dynamics study of chemical reactions, high dissociation of biomolecules, 3D visualization of energy materials or biological samples, etc. We first introduce the progress of domestic large scientific facilities of synchrotron radiation(SR) and free electron lasers(FELs) with different wavelengths and neutron *** further discuss the comparison between Chinese and typical foreign facilities in X-ray radiation from X-ray tubes, synchrotrons, X-ray FELs, and neutron sources based on physical parameters of light and neutron sources. In addition, we focus on the technological progress and perspectives combined with advanced X-ray radiation and neutron sources of large scientific facilities in China, especially in the nanoscience fields of energy catalysis and biological science. We hope that this roadmap will provide references on technology and methods to experimental users, as well as prospects for future development of technologies based on large research infrastructure facilities. Comprehensive studies and guidelines for basic research to practical application in various disciplines can be made with the assistance of large scientific facilities.

关键词： large scientific facilities synchrotron radiation FEL light sources neutron sources spectroscopic analysis methods X-ray imaging techniques structural information chemical dynamics

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Harnessing AI-human synergy for deep learning research analysis in ophthalmology with large language models assisting humans

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Eye Science 2024年第1期1卷 7-25页

作者：罗明杰张玮星张哲铭庞健宇林桢哲赵兰琴林铎儒林浩添 State key laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityGuangdong Provincial Key Laboratory of Ophthalmology and Visual ScienceGuangdong Provincial Clinical Research Center for Ocular DiseasesGuangzhou 510060China Center for Precision Medicine and Department of Genetics and biomedical Informatics Zhongshan School of MedicineSun Yat-sen UniversityGuangzhou 510060China Hainan Eye Hospital and key laboratory of Ophthalmology Zhongshan Ophthalmic CenterSun Yat-sen UniversityHaikou 570311China

Background:Research innovations inocular disease screening,diagnosis,and management have been boosted by deep learning(DL)in the last *** assess historical research trends and current advances,we conducted an artificial intelligence(AI)-human hybrid analysis of publications on DL in ***:All DL-related articles in ophthalmology,which were published between 2012 and 2022 from Web of Science,were included.500 high-impact articles annotated with key research information were used to fine-tune a large language models(LLM)for reviewing medical literature and extracting *** verifying the LLM's accuracy in extracting diseases and imaging modalities,we analyzed trend of DL in ophthalmology with 2535 ***:Researchers using LLM for literature analysis were 70%(P=0.0001)faster than those who did not,while achieving comparable accuracy(97%versus 98%,P=0.7681).The field of DL in ophthalmology has grown 116%annually,paralleling trends of the broader DL *** publications focused mainly on diabetic retinopathy(P=0.0003),glaucoma(P=0.0011),and age-related macular diseases(P=0.0001)using retinal fundus photographs(FP,P=0.0015)and optical coherence tomography(OCT,P=0.0001).DL studies utilizing multimodal images have been growing,with FP and OCT combined being the most *** the 500 high-impact articles,laboratory studies constituted the majority at 65.3%.Notably,a discernible decline in model accuracy was observed when categorizing by study design,notwithstanding its statistical ***,43 publicly available ocular image datasets were ***:This study has characterized the landscape of publications on DL in ophthalmology,by identifying the trends and breakthroughs among research topics and the fast-growing *** study provides an efficient framework for combined AI-human analysis to comprehensively assess the current status and future trends in the field.

关键词： large language model AI-human collaboration research trends ophthalmology model performance

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