Tyler J. Loftus

Artificial Intelligence and Surgical Decision-making

2019 · 520 Zit. · JAMA Surgery

Performance of a Machine Learning Algorithm Using Electronic Health Record Data to Predict Postoperative Complications and Report on a Mobile Platform

2022 · 115 Zit. · JAMA Network Open

Artificial Intelligence and Surgery: Ethical Dilemmas and Open Issues

2022 · 93 Zit. · Journal of the American College of Surgeons

Artificial intelligence-enabled decision support in nephrology

2022 · 84 Zit. · Nature Reviews Nephrology

Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey

2023 · 64 Zit. · World Journal of Emergency Surgery

Artificial Intelligence–enabled Decision Support in Surgery

2023 · 55 Zit. · Annals of Surgery

Uncertainty-aware deep learning in healthcare: A scoping review

2022 · 50 Zit. · PLOS Digital Health

Dynamic predictions of postoperative complications from explainable, uncertainty-aware, and multi-task deep neural networks

2023 · 43 Zit. · Scientific Reports

Intelligent, Autonomous Machines in Surgery

2020 · 39 Zit. · Journal of Surgical Research

Equity and Artificial Intelligence in Surgical Care

2021 · 32 Zit. · JAMA Surgery

Executive summary of the artificial intelligence in surgery series

2021 · 28 Zit. · Surgery

Evaluation of federated learning variations for COVID-19 diagnosis using chest radiographs from 42 US and European hospitals

2022 · 28 Zit. · Journal of the American Medical Informatics Association

Machine Learning Applications in Solid Organ Transplantation and Related Complications

2021 · 24 Zit. · Frontiers in Immunology

Opportunities for machine learning to improve surgical ward safety

2020 · 23 Zit. · The American Journal of Surgery

Artificial intelligence in surgery: the emergency surgeon’s perspective (the ARIES project)

2022 · 23 Zit. · Discover Health Systems