Results 31 to 40 of about 13,067,274 (341)
Foundation models for generalist medical artificial intelligence
Nature, 2023 The exceptionally rapid development of highly flexible, reusable artificial intelligence (AI) models is likely to usher in newfound capabilities in medicine.
Michael Moor +6 more
semanticscholar +1 more source
Journal of Medical Science, 2019 Introduction. There is not much data about the composition of populations of the immune system in acute appendicitis. The basic histopathological criterion for the diagnosis of acute appendicitis is neutrophil infiltration of the muscle membrane.
Jakub Żurawski +4 more
doaj +1 more source
Attitude of Medical and Dental First Year Students Towards Teaching Methods in a Medical College of Northern India. [PDF]
Journal of Clinical and Diagnostic Research, 2014 Background: Teaching in most Asian countries is still dominated by teacher-centered classrooms in which students passively receive information from the teacher.
Aditya Jain +3 more
doaj +1 more source
Frontiers in Psychology, 2020 The evaluation of the effectiveness of entrepreneurship education has become a key issue in improving the quality of entrepreneurship education. The quality of entrepreneurship education was empirically analyzed through a questionnaire survey conducted ...
Yuhui Li, Wei Shen, Yijun Lv
doaj +1 more source
Model and Integrate Medical Resource Availability into Verifiably Correct Executable Medical Guidelines - Technical Report [PDF]
IEEE/ACM 36th International Conference on Computer-Aided Design
(ICCAD), 2017, 2018 Improving effectiveness and safety of patient care is an ultimate objective for medical cyber-physical systems. A recent study shows that the patients' death rate can be reduced by computerizing medical guidelines. Most existing medical guideline models are validated and/or verified based on the assumption that all necessary medical resources needed ...
arxiv +1 more source
Process evaluation of complex interventions: Medical Research Council guidance
British medical journal, 2015 Process evaluation is an essential part of designing and testing complex interventions.
G. Moore +10 more
semanticscholar +1 more source
Medical idioms for clinical Bayesian network development [PDF]
, 2020 Bayesian Networks (BNs) are graphical probabilistic models that have proven popular in medical applications. While numerous medical BNs have been published, most are presented fait accompli without explanation of how the network structure was developed or justification of why it represents the correct structure for the given medical application.
arxiv +1 more source
Rural and Remote Health, 2021 Introduction: Although all medical students at James Cook University (JCU), Queensland, Australia, undertake rural placements throughout their course, a proportion (currently about 20 per year out of 170-190 final-year students) undertake extended rural
Torres Woolley +3 more
doaj +1 more source
KnowAugNet: Multi-Source Medical Knowledge Augmented Medication Prediction Network with Multi-Level Graph Contrastive Learning [PDF]
arXiv, 2022 Predicting medications is a crucial task in many intelligent healthcare systems. It can assist doctors in making informed medication decisions for patients according to electronic medical records (EMRs). However, medication prediction is a challenging data mining task due to the complex relations between medical codes.
arxiv
Architecture and Design of Medical Processor Units for Medical Networks [PDF]
International journal of Computer Networks & Communications
(IJCNC),Vol.2, No.6, November 2010, 13-29, 2011 This paper introduces analogical and deductive methodologies for the design medical processor units (MPUs). From the study of evolution of numerous earlier processors, we derive the basis for the architecture of MPUs. These specialized processors perform unique medical functions encoded as medical operational codes (mopcs). From a pragmatic perspective,
arxiv +1 more source