Berkman Sahiner

Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment

2023 · 114 Zit. · Journal of Medical Imaging

AAPM task group report 273: Recommendations on best practices for AI and machine learning for computer‐aided diagnosis in medical imaging

2022 · 85 Zit. · Medical Physics

AI in medical physics: guidelines for publication

2021 · 42 Zit. · Medical Physics

Artificial intelligence in medicine: mitigating risks and maximizing benefits via quality assurance, quality control, and acceptance testing

2024 · 31 Zit. · BJR|Artificial Intelligence

Regulatory considerations for medical imaging AI/ML devices in the United States: concepts and challenges

2023 · 29 Zit. · Journal of Medical Imaging

AI and machine learning in medical imaging: key points from development to translation

2024 · 20 Zit. · BJR|Artificial Intelligence

Sequestration of imaging studies in MIDRC: stratified sampling to balance demographic characteristics of patients in a multi-institutional data commons

2023 · 12 Zit. · Journal of Medical Imaging

A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform

2024 · 8 Zit. · npj Digital Medicine

Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons

2023 · 8 Zit. · Journal of Medical Imaging

Applying queueing theory to evaluate wait-time-savings of triage algorithms

2024 · 7 Zit. · Queueing Systems

Discussion on “Approval policies for modifications to machine learning‐based software as a medical device: A study of bio‐creep” by Jean Feng, Scott Emerson, and Noah Simon

2020 · 6 Zit. · Biometrics

Perspectives and Best Practices for Artificial Intelligence and Continuously Learning Systems in Healthcare

2018 · 5 Zit. · Exhibit - A Showcase of Scholarship, Creativity and Preservation Provided by Xavier University Library (Xavier University)

Considerations in the assessment of machine learning algorithm performance for medical imaging

2024 · 4 Zit. · Elsevier eBooks

MIDRC-MetricTree: a decision tree-based tool for recommending performance metrics in artificial intelligence-assisted medical image analysis

2024 · 4 Zit. · Journal of Medical Imaging

Decision region analysis for generalizability of artificial intelligence models: estimating model generalizability in the case of cross-reactivity and population shift

2024 · 4 Zit. · Journal of Medical Imaging