The ethical considerations including inclusion and biases, data protection, and proper implementation among AI in radiology and potential implications
Clarissa Martin(University of Pennsylvania), Muhammad Umair(King Saud bin Abdulaziz University for Health Sciences), Harry Haran(New York Medical College), Danial Ahmed(New York Institute of Technology), Kyle DeStefano(Drexel University), Khuram Kazmi(Cooper Medical School of Rowan University), Keldon K. Lin(Mayo Clinic in Arizona), Abrahim Razzak(Medical College of Wisconsin), Joseph Waller(Drexel University), Sydney Zink(University of Chicago), Jennifer Dai(Rutgers, The State University of New Jersey), Ann Kogler(Drexel University)
Cited by 37
Related Papers
Explainability, transparency and black box challenges of AI in radiology: impact on patient care in cardiovascular radiology
|The Egyptian Journal of Radiology and Nuclear Medicine|2024|159
Screening and diagnosis of cardiovascular disease using artificial intelligence-enabled cardiac magnetic resonance imaging
|Nature Medicine|2024|156
Applications and challenges of artificial intelligence in diagnostic and interventional radiology
|Polish Journal of Radiology|2022|62
The extractive industries transparency initiative: Achieving disclosure, but falling short on corruption reduction
|The Extractive Industries and Society|2024|54