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 …
[HTML][HTML] Evaluation framework to guide implementation of AI systems into healthcare settings
Objectives To date, many artificial intelligence (AI) systems have been developed in
healthcare, but adoption has been limited. This may be due to inappropriate or incomplete …
healthcare, but adoption has been limited. This may be due to inappropriate or incomplete …
Determinants of implementing artificial intelligence-based clinical decision support tools in healthcare: a scoping review protocol
Introduction Artificial intelligence (AI), the simulation of human intelligence processes by
machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based …
machines, is being increasingly leveraged to facilitate clinical decision-making. AI-based …
[HTML][HTML] Key challenges for delivering clinical impact with artificial intelligence
Background Artificial intelligence (AI) research in healthcare is accelerating rapidly, with
potential applications being demonstrated across various domains of medicine. However …
potential applications being demonstrated across various domains of medicine. However …
DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in clinical artificial intelligence
Nature Medicine, 2021 - nature.com
DECIDE-AI: new reporting guidelines to bridge the development-to-implementation gap in
clinical artificial intelligence | Nature Medicine Skip to main content Thank you for visiting …
clinical artificial intelligence | Nature Medicine Skip to main content Thank you for visiting …
[HTML][HTML] Patient and general public attitudes towards clinical artificial intelligence: a mixed methods systematic review
AT Young, D Amara, A Bhattacharya… - The lancet digital health, 2021 - thelancet.com
Artificial intelligence (AI) promises to change health care, with some studies showing proof
of concept of a provider-level performance in various medical specialties. However, there …
of concept of a provider-level performance in various medical specialties. However, there …
[HTML][HTML] Artificial intelligence in clinical decision support: challenges for evaluating AI and practical implications
F Magrabi, E Ammenwerth, JB McNair… - Yearbook of medical …, 2019 - thieme-connect.com
Objectives: This paper draws attention to: i) key considerations for evaluating artificial
intelligence (AI) enabled clinical decision support; and ii) challenges and practical …
intelligence (AI) enabled clinical decision support; and ii) challenges and practical …
Evaluating artificial intelligence in medicine: phases of clinical research
Increased scrutiny of artificial intelligence (AI) applications in healthcare highlights the need
for real-world evaluations for effectiveness and unintended consequences. The complexity …
for real-world evaluations for effectiveness and unintended consequences. The complexity …
[HTML][HTML] Exploring stakeholder attitudes towards AI in clinical practice
Objectives Different stakeholders may hold varying attitudes towards artificial intelligence
(AI) applications in healthcare, which may constrain their acceptance if AI developers fail to …
(AI) applications in healthcare, which may constrain their acceptance if AI developers fail to …