Reporting guideline for the early stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI
A growing number of artificial intelligence (AI)-based clinical decision support systems are
showing promising performance in preclinical, in silico, evaluation, but few have yet …
showing promising performance in preclinical, in silico, evaluation, but few have yet …
[HTML][HTML] Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter
D Van de Sande, ME Van Genderen… - BMJ health & care …, 2022 - ncbi.nlm.nih.gov
Objective Although the role of artificial intelligence (AI) in medicine is increasingly studied,
most patients do not benefit because the majority of AI models remain in the testing and …
most patients do not benefit because the majority of AI models remain in the testing and …
The need for a system view to regulate artificial intelligence/machine learning-based software as medical device
Artificial intelligence (AI) and Machine learning (ML) systems in medicine are poised to
significantly improve health care, for example, by offering earlier diagnoses of diseases or …
significantly improve health care, for example, by offering earlier diagnoses of diseases or …
Current challenges and future opportunities for XAI in machine learning-based clinical decision support systems: a systematic review
Machine Learning and Artificial Intelligence (AI) more broadly have great immediate and
future potential for transforming almost all aspects of medicine. However, in many …
future potential for transforming almost all aspects of medicine. However, in many …
Artificial intelligence-enhanced drug design and development: Toward a computational precision medicine
Artificial Intelligence (AI) relies upon a convergence of technologies with further synergies
with life science technologies to capture the value of massive multi-modal data in the form of …
with life science technologies to capture the value of massive multi-modal data in the form of …
[HTML][HTML] Role of artificial intelligence applications in real-life clinical practice: systematic review
Background Artificial intelligence (AI) applications are growing at an unprecedented pace in
health care, including disease diagnosis, triage or screening, risk analysis, surgical …
health care, including disease diagnosis, triage or screening, risk analysis, surgical …
Beginnings of artificial intelligence in medicine (AIM): computational artifice assisting scientific inquiry and clinical art–with reflections on present aim challenges
CA Kulikowski - Yearbook of medical informatics, 2019 - thieme-connect.com
Background: The rise of biomedical expert heuristic knowledge-based approaches for
computational modeling and problem solving, for scientific inquiry and medical decision …
computational modeling and problem solving, for scientific inquiry and medical decision …
The inclusion of augmented intelligence in medicine: a framework for successful implementation
G Bazoukis, J Hall, J Loscalzo, EM Antman… - Cell Reports …, 2022 - cell.com
Artificial intelligence (AI) algorithms are being applied across a large spectrum of everyday
life activities. The implementation of AI algorithms in clinical practice has been met with …
life activities. The implementation of AI algorithms in clinical practice has been met with …
Artificial intelligence in health: new opportunities, challenges, and practical implications
AYS Lau, P Staccini - Yearbook of medical informatics, 2019 - thieme-connect.com
Objectives: To summarise the state of the art during the year 2018 in consumer health
informatics and education, with a special emphasis on the special topic of the International …
informatics and education, with a special emphasis on the special topic of the International …