Reading Between the Voxels: Artificial Intelligence Detection of Occult Pancreatic Cancer.

Implementation of Artificial Intelligence in Breast Imaging for Detection, Diagnosis, and Workflow: Point-The Evidence Supports Implementation Now.

This article, from a Point/Counterpoint on implementation of artificial intelligence (AI) in breast imaging, argues that the available evidence, including prospective and real-world studies demonstrating clinical benefit, is sufficient to support clinical implementation of AI-supported mammography screening with appr...

Implementation of Artificial Intelligence in Breast Imaging for Detection, Diagnosis, and Workflow: Counterpoint-Zeal Should Not Outrun Discretion.

This article, from a Point/Counterpoint on implementation of artificial intelligence (AI) in breast imaging, argues that key issues must be addressed before wider adoption, including medicolegal ambiguities, impact on disparities, data drift, and scaling costs. More robust infrastructure and regulations will ultimate...

Artificial intelligence used in clinical practice to measure breast density

Beyond the algorithm: what makes artificial intelligence-assisted colonoscopy effective in routine practice?

great interest the study by Park and Bae 1 evaluating a novel computer-aided detection (CADe) system in routine colonoscopy practice. In their prospective, propensity score-matched study of 1,758 patients, CADe-assisted colonoscopy increased the adenoma detection rate (ADR) from 38.8% to 45.1%, the sessile serrated les...

tan-Artificial Intelligence in equivocal prostatic needle biopsies: benign mimics and cancer detection

FGOOPNet: A Fuzzy Deep Learning Approach for Mammographic Breast Cancer Classification

Introduction Breast cancer continues to threaten millions of women globally, and early detection is essential for saving lives. However, inconsistencies in radiological interpretation and uncertainty in lesion assessment limit diagnostic reliability. This study proposes FGOOPNet, a fuzzy deep ensemble model designed to...