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Clinician checklist for assessing suitability of machine learning applications in healthcare
Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter
Exploring stakeholder attitudes towards AI in clinical practice
Development and validation of a machine learning model to predict mortality risk in patients with COVID-19
Review of study reporting guidelines for clinical studies using artificial intelligence in healthcare
Evaluating risk stratification scoring systems to predict mortality in patients with COVID-19
Effect of a phone reminder system on patient-centered tuberculosis treatment adherence among adults in Northwest Ethiopia: a randomised controlled trial
Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction
Equity in essence: a call for operationalising fairness in machine learning for healthcare
How machine learning is embedded to support clinician decision making: an analysis of FDA-approved medical devices
Association of persistent acute kidney injury and renal recovery with mortality in hospitalised patients
Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland
Evaluation framework to guide implementation of AI systems into healthcare settings
Strengthening healthcare delivery with remote patient monitoring in the time of COVID-19
Impact of DSMES app interventions on medication adherence in type 2 diabetes mellitus: systematic review and meta-analysis
Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation
Conceptualising fairness: three pillars for medical algorithms and health equity
Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation
Eight human factors and ergonomics principles for healthcare artificial intelligence
Utility of routinely collected electronic health records data to support effectiveness evaluations in inflammatory bowel disease: a pilot study of tofacitinib