Manchester Academic Health Science Centre

Reporting guideline for the early-stage clinical evaluation of decision support systems driven by artificial intelligence: DECIDE-AI

Baptiste Vasey, Myura Nagendran, Bruce Campbell et al.

2022 · 462 Zit.

Time to reality check the promises of machine learning-powered precision medicine

Jack Wilkinson, Kellyn F Arnold, Eleanor J. Murray et al.

2020 · 238 Zit.

Digital health and care in pandemic times: impact of COVID-19

Niels Peek, Mark Sujan, Philip Scott

2020 · 226 Zit.

A systematic review of machine learning models for predicting outcomes of stroke with structured data

Wenjuan Wang, Martin Kiik, Niels Peek et al.

2020 · 202 Zit.

Distributed learning on 20 000+ lung cancer patients – The Personal Health Train

Timo M. Deist, Frank J. W. M. Dankers, Priyanka Ojha et al.

2020 · 162 Zit.

Consistency of variety of machine learning and statistical models in predicting clinical risks of individual patients: longitudinal cohort study using cardiovascular disease as exemplar

Li Yan, Matthew Sperrin, Darren M. Ashcroft et al.

2020 · 141 Zit.

Machine Learning and Prediction of All-Cause Mortality in COPD

Matthew Moll, Dandi Qiao, Elizabeth A. Regan et al.

2020 · 126 Zit.

Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes

Niels Peek, Carlo Combi, R. Marı́n et al.

2015 · 122 Zit.

Trading off accuracy and explainability in AI decision-making: findings from 2 citizens’ juries

Sabine N van der Veer, Lisa Riste, Sudeh Cheraghi‐Sohi et al.

2021 · 82 Zit.

Reducing diagnostic errors in primary care. A systematic meta-review of computerized diagnostic decision support systems by the LINNEAUS collaboration on patient safety in primary care

Martine Nurek, Olga Kostopoulou, Brendan Delaney et al.

2015 · 70 Zit.

Harnessing repeated measurements of predictor variables for clinical risk prediction: a review of existing methods

Lucy M. Bull, Mark Lunt, Glen P. Martin et al.

2020 · 63 Zit.

The use of computerized clinical decision support systems in emergency care: a substantive review of the literature

Paula Bennett, Nicholas R. Hardiker

2016 · 56 Zit.

Clinical prediction models and the multiverse of madness

Richard D Riley, Alexander Pate, Paula Dhiman et al.

2023 · 54 Zit.

Technical, Ethical, Legal, and Societal Challenges With Digital Twin Systems for the Management of Chronic Diseases in Children and Young People

David Drummond, Adrien Coulet

2022 · 43 Zit.

Health Care Professionals’ Views on the Use of Passive Sensing, AI, and Machine Learning in Mental Health Care: Systematic Review With Meta-Synthesis

Jessica Rogan, Sandra Bucci, Joseph Firth

2024 · 42 Zit.