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Current advancements in application of artificial intelligence in clinical decision-making by gastroenterologists in gastrointestinal bleeding

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Artificial Intelligence in Gastroenterology 2022年第1期3卷 13-20页

作者： Hasan Maulahela nagita gianty annisa Department of Internal Medicine Gastroenterology DivisionFaculty of Medicine University of Indonesia-Cipto Mangunkusumo General Central National HospitalJakarta 10430Indonesia Faculty of Medicine University of IndonesiaJakarta 10430Indonesia

Artificial Intelligence(AI)is a type of intelligence that comes from machines or computer systems that mimics human cognitive ***,AI has been utilized in medicine and helped clinicians make clinical *** gastroenterology,AI has assisted colon polyp detection,optical biopsy,and diagnosis of Helicobacter pylori *** also has a broad role in the clinical prediction and management of gastrointestinal *** learning can determine the clinical risk of upper and lower gastrointestinal *** can assist the management of gastrointestinal bleeding by identifying high-risk patients who might need urgent endoscopic treatment or blood transfusion,determining bleeding stigmata during endoscopy,and predicting recurrence of gastrointestinal *** present review will discuss the role of AI in the clinical prediction and management of gastrointestinal bleeding,primarily on how it could assist gastroenterologists in their clinical decision-making compared to conventional *** review will also discuss challenges in implementing AI in routine practice.

关键词： Gastrointestinal bleeding Artificial intelligence Machine learning Artificial neural networks Clinical decision making

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Simulation-based mastery learning in gastrointestinal endoscopy training

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World Journal of Gastrointestinal Endoscopy 2022年第9期14卷 512-523页

作者： Hasan Maulahela nagita gianty annisa Tiffany Konstantin Ari Fahrial Syam Roy Soetikno Department of Internal Medicine Gastroenterology DivisionFaculty of Medicine University of Indonesia-Cipto Mangunkusumo General Central National HospitalJakarta 10430Indonesia Tiffany Konstantin Faculty of MedicineUniversity of IndonesiaJakarta 10430Indonesia

Simulation-based mastery learning(SBML)is an emerging form of competencybased training that has been proposed as the next standard method for procedural task training,including that in gastr-ointestinal *** basic gastrointestinal endoscopy training relies on the number of procedures performed,and it has been criticized for its lack of objective standards that result in variable skills among trainees and its association with patient safety ***,incorporating simulators into a competency-based curriculum seems ideal for gastrointestinal endoscopy *** curriculum for SBML in gastrointestinal endoscopy is currently being developed and has promising potential to translate into the clinical *** the present apprenticeship model of“see one,do one,teach one,”SBML integrates a competency-based curriculum with specific learning objectives alongside simulation-based *** allows trainees to practice essential skills repeatedly,receive feedback from experts,and gradually develop their abilities to achieve ***,trainees and trainers need to understand the learning targets of the program so that trainees can focus their learning on the necessary skills and trainers can provide structured feedback based on the expected *** addition to learning targets,an assessment plan is essential to provide trainees with future directions for their improvement and ensure patient safety by issuing a passing ***,the SBML program should be planned and managed by a specific team and conducted within a developed and tested *** review discusses the current state of gastr-ointestinal endoscopy training and the role of SBML in that field.

关键词： Simulation training Education Endoscopy Mastery learning Competency-based education Curriculum

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