Latest AI and machine learning research in medical ethics / professional responsibility for healthcare professionals.
OBJECTIVES: To construct a high-value region-guided dual-network semi-supervised segmentation method...
Psychedelics can profoundly alter consciousness by reorganizing brain connectivity1,2, producing acu...
BACKGROUND: Timely linkage to HIV prevention and treatment services following HIV self-testing (HIVS...
A fundamental understanding of genome organization relies on accurately annotating topologically ass...
As deep learning (DL) performs remarkably in pattern recognition from complex data, it is used to in...
Multimodal artificial intelligence (AI) is an emerging domain comprising a set of tools with potenti...
Regulatory bodies play a central role in providing guidance that enables safe and effective use of a...
Accurate nuclei segmentation is essential for quantitative histopathological analysis and downstream...
As a vital component of structural health monitoring, the detection of cracks and water leakage in t...
Highly heterogeneous aquifer structures and complex boundary disturbances pose persistent challenges...
Semantic segmentation has rapidly advanced with deep learning; however, challenges remain in effecti...
INTRODUCTION: Digital technologies, including intraoral scanners, computer-aided design/computer-aid...
BACKGROUND: The transformation from benign to malignant breast tissue represents a complex biologica...
Physician oaths are often treated as ceremonial relics or ethical ornaments of graduation. I have co...
Objective Accurate Ultrasound (US) prostate cancer (PCa) segmentation images hold significant va...
Colorectal polyps are primarily detected through colonoscopy, which plays a central role in early ca...
BACKGROUND: AI is increasingly discussed and deployed in health care, yet safe and effective impleme...
Automated segmentation of lung parenchyma and solid lung adenocarcinoma on thoracic computed tomogra...
PURPOSE: To develop and evaluate a stress-constrained physics-informed UNet framework for voxel-wise...
PURPOSE: Preoperative differentiation of hepatocellular carcinoma (HCC), intrahepatic cholangiocarci...
BACKGROUND: Software-based and AI-enabled medical devices are increasingly networked and updatable, ...