[HTML][HTML] Multi-stakeholder preferences for the use of artificial intelligence in healthcare: A systematic review and thematic analysis
Introduction Despite the proliferation of Artificial Intelligence (AI) technology over the last
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …
decade, clinician, patient, and public perceptions of its use in healthcare raise a number of …
[HTML][HTML] Artificial intelligence and health inequities in primary care: a systematic scoping review and framework
Objective Artificial intelligence (AI) will have a significant impact on healthcare over the
coming decade. At the same time, health inequity remains one of the biggest challenges …
coming decade. At the same time, health inequity remains one of the biggest challenges …
[HTML][HTML] Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland
Methods A paper-based, cross-sectional survey was administered to final year medical
students at four of Ireland's seven medical schools. Institutions were selected in each of the …
students at four of Ireland's seven medical schools. Institutions were selected in each of the …
An evidence-based approach to artificial intelligence education for medical students: A systematic review
The exponential growth of artificial intelligence (AI) in the last two decades has been
recognized by many as an opportunity to improve the quality of patient care. However …
recognized by many as an opportunity to improve the quality of patient care. However …
Machine learning in clinical psychology and psychotherapy education: a mixed methods pilot survey of postgraduate students at a Swiss University
Background: There is increasing use of psychotherapy apps in mental health care.
Objective: This mixed methods pilot study aimed to explore postgraduate clinical psychology …
Objective: This mixed methods pilot study aimed to explore postgraduate clinical psychology …
Efficacy of artificial-intelligence-driven differential-diagnosis list on the diagnostic accuracy of physicians: an open-label randomized controlled study
Y Harada, S Katsukura, R Kawamura… - International Journal of …, 2021 - mdpi.com
Background: The efficacy of artificial intelligence (AI)-driven automated medical-history-
taking systems with AI-driven differential-diagnosis lists on physicians' diagnostic accuracy …
taking systems with AI-driven differential-diagnosis lists on physicians' diagnostic accuracy …
The emergence of medical futures studies uncovers medicine and healthcare's untapped potential
B Mesko - npj Digital Medicine, 2024 - nature.com
Analyzing the future of medicine and healthcare, especially during the rise of digital health
and artificial intelligence, should rely on established futures methods that the discipline of …
and artificial intelligence, should rely on established futures methods that the discipline of …
[HTML][HTML] Preparing patients and clinicians for open notes in mental health: qualitative inquiry of international experts
Background In a growing number of countries worldwide, clinicians are sharing mental
health notes, including psychiatry and psychotherapy notes, with patients. Objective The aim …
health notes, including psychiatry and psychotherapy notes, with patients. Objective The aim …
The predicted future of psychotherapy: A decennial e-Delphi poll.
JC Norcross, RA Pfund, DM Cook - … Psychology: Research and …, 2022 - psycnet.apa.org
Whither psychotherapy in the 2030s? Following a decennial tradition, the authors conducted
an e-Delphi poll on the future of psychotherapy in the United States. A panel of 56 …
an e-Delphi poll on the future of psychotherapy in the United States. A panel of 56 …
Uncertainty in healthcare and health decision making: Five methodological and conceptual research recommendations from an interdisciplinary team
Uncertainty is prevalent in various health contexts. It is imperative to understand how health-
related uncertainty can impact individuals' healthcare experiences and health decision …
related uncertainty can impact individuals' healthcare experiences and health decision …