Muhammad Mamdani

Machine learning in vascular surgery: a systematic review and critical appraisal

2022 · 120 Zit. · npj Digital Medicine

APPRAISE-AI Tool for Quantitative Evaluation of AI Studies for Clinical Decision Support

2023 · 105 Zit. · JAMA Network Open

Standardized Reporting of Machine Learning Applications in Urology: The STREAM-URO Framework

2021 · 61 Zit. · European Urology Focus

Problems in the deployment of machine-learned models in health care

2021 · 61 Zit. · Canadian Medical Association Journal

Evaluation of machine learning solutions in medicine

2021 · 47 Zit. · Canadian Medical Association Journal

Artificial intelligence in intensive care medicine

2020 · 44 Zit. · Intensive Care Medicine

Quality of interaction between clinicians and artificial intelligence systems. A systematic review

2024 · 23 Zit. · Future Healthcare Journal

From compute to care: Lessons learned from deploying an early warning system into clinical practice

2022 · 20 Zit. · Frontiers in Digital Health

Perceptions of Canadian vascular surgeons toward artificial intelligence and machine learning

2022 · 19 Zit. · Journal of Vascular Surgery Cases and Innovative Techniques

CANAIRI: the Collaboration for Translational Artificial Intelligence Trials in healthcare

2025 · 19 Zit. · Nature Medicine

Developing and Validating a Prediction Model For Death or Critical Illness in Hospitalized Adults, an Opportunity for Human-Computer Collaboration

2023 · 13 Zit. · Critical Care Explorations

Grand rounds in methodology: key considerations for implementing machine learning solutions in quality improvement initiatives

2023 · 11 Zit. · BMJ Quality & Safety

Comprehensive review of virtual assistants in vascular surgery

2024 · 5 Zit. · Seminars in Vascular Surgery

Responsible adoption of multimodal artificial intelligence in health care: promises and challenges

2025 · 3 Zit. · The Lancet Digital Health

Health Data Nexus: an open data platform for AI research and education in medicine

2025 · 2 Zit. · GigaScience