medical informatics

Extension of the Unified Theory of Acceptance and Use of Technology 2 model for predicting mHealth acceptance using diabetes as an example: a cross-sectional validation study
Patrik Schretzlmaier, Achim Hecker, Elske Ammenwerth

BMJ Health & Care Informatics Nov 2022, 29 (1) e100640; DOI: 10.1136/bmjhci-2022-100640
Three-year trends in literature on artificial intelligence in ophthalmology and vision sciences: a protocol for bibliometric analysis
Hayley Monson, Jeff Demaine, Laura Banfield, Tina Felfeli

BMJ Health & Care Informatics Oct 2022, 29 (1) e100594; DOI: 10.1136/bmjhci-2022-100594
Early detection of autism spectrum disorder in young children with machine learning using medical claims data
Yu-Hsin Chen, Qiushi Chen, Lan Kong, Guodong Liu

BMJ Health & Care Informatics Sep 2022, 29 (1) e100544; DOI: 10.1136/bmjhci-2022-100544
Translating electronic health record-based patient safety algorithms from research to clinical practice at multiple sites
Andrew J Zimolzak, Hardeep Singh, Daniel R Murphy, Li Wei, Sahar A Memon, Divvy K Upadhyay, Saritha Korukonda, Lisa Zubkoff, Dean F Sittig

BMJ Health & Care Informatics Jul 2022, 29 (1) e100565; DOI: 10.1136/bmjhci-2022-100565
Data science to analyse the largest natural experiment of our time
Edward Christopher Dee, Joseph A Paguio, Jasper S Yao, Aaron Stupple, Leo Anthony Celi

BMJ Health & Care Informatics Aug 2020, 27 (3) e100177; DOI: 10.1136/bmjhci-2020-100177
Biased intelligence: on the subjectivity of digital objectivity
Jeremy T Moreau, Sylvain Baillet, Roy WR Dudley

BMJ Health & Care Informatics Aug 2020, 27 (3) e100146; DOI: 10.1136/bmjhci-2020-100146
In response to ‘The clinical artificial intelligence department: a prerequisite for success’
Piyush Mathur, Kamal Maheshwari, Frank Papay

BMJ Health & Care Informatics Sep 2020, 27 (3) e100221; DOI: 10.1136/bmjhci-2020-100221
AI enabled suicide prediction tools: a qualitative narrative review
Daniel D’Hotman, Erwin Loh

BMJ Health & Care Informatics Oct 2020, 27 (3) e100175; DOI: 10.1136/bmjhci-2020-100175
Atrial fibrillation dashboard evaluation using the think aloud protocol
Simon de Lusignan, Harshana Liyanage, Julian Sherlock, Filipa Ferreira, Neil Munro, Michael Feher, Richard Hobbs

BMJ Health & Care Informatics Oct 2020, 27 (3) e100191; DOI: 10.1136/bmjhci-2020-100191
Mortality prediction models, causal effects, and end-of-life decision making in the intensive care unit
Jason H Maley, Kerollos N Wanis, Jessica G Young, Leo A Celi

BMJ Health & Care Informatics Oct 2020, 27 (3) e100220; DOI: 10.1136/bmjhci-2020-100220

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