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Histopathological patterns of ovarian lesions:A study of 161 cases

BIOCELL 2019年第3期43卷 175-181页

作者： abdulkareem younis suleiman INTISAR SALIM PITY MOHAMMED R MOHAMMED BASHAR ABDULJABAR HASSAWI College of Medicine University of MosulMosulIraq College of Medicine University of DuhokDuhokIraq

Ovarian lesions are commonly encountered pathologies that cannot be categorized *** diagnosis is of great importance for therapeutic and prognostic *** gives accurate diagnosis in most *** cases need supportive tests like ***:to study the histomorphological diversity of ovarian lesions,their age and location in North of Iraq(Mosul and Duhok).Patients and methods:In the period extended from January 2008 to December 2011,161 cases of ovarian lesions were collected from pathology departments in Azadi General Hospital“Duhok”and Al-Jamhori Teaching Hospital“Mosul”.Automated tissue processor was used for histologic study and Streptavidin-biotin method on paraffin sections was applied for ***:There was a wide age range,most being in the third *** right ovaries were more common involved than the ***,58(36%)cases were non-neoplastic and 103 were neoplastic including 90(55.9%)benign and 9(5.6%)malignant *** remaining 4(2.4%)cases comprised borderline serous ***:Most ovarian lesions were functional non-neoplastic followed by benign *** from few cases,diagnosis was merely histological without any ancillary test.

关键词： Histopathology Immunohistochemistry Ovarian lesions

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Telemedicine and Smart Healthcare—The Role of Artificial Intelligence, 5G, Cloud Services, and Other Enabling Technologies

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International Journal of Communications, Network and System Sciences 2023年第3期16卷 31-51页

作者： Taofik Ahmed suleiman abdulkareem Adinoyi Department of Medical Imaging and Computing University of Girona Girona Spain Graduate School of Science and Technology Medical Imaging and Applications (MAIA) University of Burgundy Le Creusot France Department of Electrical and Information Engineering MAIA University of Cassino and Southern Lazio Cassino Italy Research and Innovation Department academy from stc Saudi Telecommunication Company (stc) Riyadh Saudi Arabia

This paper discusses telemedicine and the employment of advanced mobile technologies in smart healthcare delivery. It covers the technological advances in connected smart healthcare, including the roles of artificial intelligence, machine learning, 5G and IoT platforms, and other enabling technologies. It also presents the challenges and potential risks that could arise from delivering connected smart healthcare services. Healthcare delivery is witnessing revolutions engineered by the developments in mobile connectivity and the plethora of platforms, applications, sensors, devices, and equipment that go along with it. Human society is evolving fast in response to these technological developments, which are also pushing the connectivity-providing sector to create and adopt new waves of network technologies. Consequently, new communications technologies have been introduced into the healthcare system and many novel applications have been developed to make it easier for sharing data in various forms and volumes within health-related services. These applications have also made it possible for telemedicine to be effectively adopted. This paper provides an overview of some of the recent developments within the space of mobile connectivity and telemedicine.

关键词： Telemedicine Smart Healthcare 5G Artificial Intelligence Machine Learning Internet-of-Medical-Things

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