Results 11 to 20 of about 13,067,274 (341)
UNMET MEDICAL NEEDS IN HIGH-RISK CARDIOVASCULAR PATIENTS WITH FAMILIAL HYPERCHOLESTEROLEMIA [PDF]
Journal of IMAB, 2021 Cardiovascular (CV) diseases are a major burden for all the healthcare systems around the world. Public health and medical advances continue to beneficially affect CV patients health.
Svetoslav Tsenov +2 more
doaj +1 more source
Explaining the teaching process of general medicine basic sciences: Designing an educational model [PDF]
Future of Medical Education Journal, 2021 Background: This study aims to explain the process of teaching the essential medical sciences stage: designing an educational model.Methods: The research method is mixed. In the qualitative part, the Delphi has been used.
Atena Gerivani +4 more
doaj +1 more source
UNETR: Transformers for 3D Medical Image Segmentation [PDF]
IEEE Workshop/Winter Conference on Applications of Computer Vision, 2021 Fully Convolutional Neural Networks (FCNNs) with contracting and expanding paths have shown prominence for the majority of medical image segmentation applications since the past decade. In FCNNs, the encoder plays an integral role by learning both global
Ali Hatamizadeh +3 more
semanticscholar +1 more source
UNet++: A Nested U-Net Architecture for Medical Image Segmentation [PDF]
DLMIA/ML-CDS@MICCAI, 2018 In this paper, we present UNet++, a new, more powerful architecture for medical image segmentation. Our architecture is essentially a deeply-supervised encoder-decoder network where the encoder and decoder sub-networks are connected through a series of ...
Zongwei Zhou +3 more
semanticscholar +1 more source
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation [PDF]
International Conference on 3D Vision, 2016 Convolutional Neural Networks (CNNs) have been recently employed to solve problems from both the computer vision and medical image analysis fields. Despite their popularity, most approaches are only able to process 2D images while most medical data used ...
F. Milletarì +2 more
semanticscholar +1 more source
medRxiv, 2022 We evaluated the performance of a large language model called ChatGPT on the United States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK, and Step 3. ChatGPT performed at or near the passing threshold for all three exams
Tiffany H. Kung +10 more
semanticscholar +1 more source
Biotechnology & Biotechnological Equipment, 2021 SARS-CoV-2 has disseminated rapidly, resulting in one of the most severe pandemic outbreaks in decades. Countries around the world have been working hard to acquire legislative authorization for vaccination and its subsequent distribution.
Asena Serbezova +5 more
doaj +1 more source
British medical journal, 2021 The UK Medical Research Council’s widely used guidance for developing and evaluating complex interventions has been replaced by a new framework, commissioned jointly by the Medical Research Council and the National Institute for Health Research, which ...
Kathryn Skivington +13 more
semanticscholar +1 more source
Regional medical inter-institutional cooperation in medical provider network constructed using patient claims data from Japan [PDF]
PLoS ONE 17, 8 (2022) e0266211, 2022 The aging world population requires a sustainable and high-quality healthcare system. To examine the efficiency of medical cooperation, medical provider and physician networks were constructed using patient claims data. Previous studies have shown that these networks contain information on medical cooperation.
arxiv +1 more source
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation [PDF]
Medical Image Analysis, 2023 The Segment Anything Model (SAM) has recently gained popularity in the field of image segmentation due to its impressive capabilities in various segmentation tasks and its prompt-based interface.
Junde Wu +7 more
semanticscholar +1 more source