Autonomous AI in prostate cancer: the road ahead towards clinical implementation
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The authors investigate the barriers to the clinical implementation of autonomous AI for detecting clinically significant prostate cancer (csPCa) on MRI, despite its promising diagnostic performance. They identify key challenges in evidence, safety, and acceptance among patients and radiologists, emphasizing the need for large-scale trials, improved transparency, and education to facilitate the responsible deployment of this technology in clinical practice.
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