Aziz Sheikh

Health information technology and digital innovation for national learning health and care systems

2021 · 361 Zit. · The Lancet Digital Health

Can ChatGPT draft a research article? An example of population-level vaccine effectiveness analysis

2023 · 247 Zit. · Journal of Global Health

Health Care Robotics: Qualitative Exploration of Key Challenges and Future Directions

2018 · 211 Zit. · Journal of Medical Internet Research

Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom

2019 · 128 Zit. · BMC Medicine

Better medicine through machine learning: What’s real, and what’s artificial?

2018 · 113 Zit. · PLoS Medicine

Computerised decision support systems for healthcare professionals:an interpretative review

2013 · 102 Zit. · Journal of Innovation in Health Informatics

Investigating the use of data-driven artificial intelligence in computerised decision support systems for health and social care: A systematic review

2020 · 85 Zit. · Health Informatics Journal

Computer decision support systems for asthma: a systematic review

2014 · 64 Zit. · npj Primary Care Respiratory Medicine

Technological Capabilities to Assess Digital Excellence in Hospitals in High Performing Health Care Systems: International eDelphi Exercise

2020 · 54 Zit. · Journal of Medical Internet Research

Predicting asthma attacks in primary care: protocol for developing a machine learning-based prediction model

2019 · 50 Zit. · BMJ Open

Computer-assisted history-taking systems (CAHTS) in health care:benefits, risks and potential for further development

2011 · 38 Zit. · Journal of Innovation in Health Informatics

Machine Learning–Based Asthma Attack Prediction Models From Routinely Collected Electronic Health Records: Systematic Scoping Review

2023 · 23 Zit. · JMIR AI

Using cloud technology in health care during the COVID-19 pandemic

2020 · 21 Zit. · The Lancet Digital Health

Can Robots Improve Testing Capacity for SARS-CoV-2?

2020 · 20 Zit. · Journal of Medical Internet Research

Predicting the risk of asthma attacks in children, adolescents and adults: protocol for a machine learning algorithm derived from a primary care-based retrospective cohort

2020 · 19 Zit. · BMJ Open