Errol Colak

Do as AI say: susceptibility in deployment of clinical decision-aids

2021 · 412 Zit. · npj Digital Medicine

Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

2023 · 86 Zit. · Scientific Reports

Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study

2023 · 20 Zit. · JMIR AI

Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges

2024 · 10 Zit. · Radiology Artificial Intelligence

BenchMD: A Benchmark for Unified Learning on Medical Images and Sensors

2023 · 10 Zit. · arXiv (Cornell University)

Five principles for the intelligent use of AI in medical imaging

2021 · 9 Zit. · Intensive Care Medicine

Data Liberation and Crowdsourcing in Medical Research: The Intersection of Collective and Artificial Intelligence

2023 · 8 Zit. · Radiology Artificial Intelligence

Underreliance Harms Human-AI Collaboration More Than Overreliance in Medical Imaging

2024 · 3 Zit.

Who should do as AI say? Only non-task expert physicians benefit from correct explainable AI advice

2022 · 3 Zit. · Research Square

X-ray modalities in the era of artificial intelligence: overview of self-supervised learning approach

2025 · 3 Zit. · FACETS

224 Artificial Intelligence-based Decision Support Predicts Requirement for Neurosurgical Intervention in Acute Traumatic Brain Injury: Automated Surgical Intervention Support Tool (ASIST-TBI) Development, Validation and Simulated Prospective Deployment

2024 · 2 Zit. · Neurosurgery

Machine Learning Classification of Body Part, Imaging Axis, and Intravenous Contrast Enhancement on CT Imaging

2023 · 2 Zit. · Canadian Association of Radiologists Journal

Underreliance Harms Human-AI Collaboration More Than Overreliance in Medical Imaging

2025 · 1 Zit.

43 NATURAL LANGUAGE PROCESSING MODEL-BASED SOLUTION FOR LABELING BRAIN METASTASIS IN RADIOLOGY REPORTS

2025 · 0 Zit. · Neuro-Oncology Advances

Insights on the Current State and Future Outlook of AI in Health Care: Expert Interview Study (Preprint)

2023 · 0 Zit.