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Top cited articles
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Developing, implementing and governing artificial intelligence in medicine: a step-by-step approach to prevent an artificial intelligence winter
Machine learning in medical education: a survey of the experiences and opinions of medical students in Ireland
Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction
A proposal for developing a platform that evaluates algorithmic equity and accuracy
Validation framework for the use of AI in healthcare: overview of the new British standard BS30440
Adoption of electronic health record systems to enhance the quality of healthcare in low-income countries: a systematic review
Data consistency in the English Hospital Episodes Statistics database
Assuring the safety of AI-based clinical decision support systems: a case study of the AI Clinician for sepsis treatment
Exploring celebrity influence on public attitude towards the COVID-19 pandemic: social media shared sentiment analysis
Willingness of diabetes mellitus patients to use mHealth applications and its associated factors for self-care management in a low-income country: an input for digital health implementation
Pilot feasibility study of a digital technology approach to the systematic electronic capture of parent-reported data on cognitive and language development in children aged 2 years
Conceptualising fairness: three pillars for medical algorithms and health equity
Eight human factors and ergonomics principles for healthcare artificial intelligence
Connecting artificial intelligence and primary care challenges: findings from a multi stakeholder collaborative consultation
Evaluating algorithmic fairness in the presence of clinical guidelines: the case of atherosclerotic cardiovascular disease risk estimation
Resampling to address inequities in predictive modeling of suicide deaths
Road map for clinicians to develop and evaluate AI predictive models to inform clinical decision-making
Electronic consent in clinical care: an international scoping review
Delivering on NIH data sharing requirements: avoiding Open Data in Appearance Only
Software development skills for health data researchers