AI Medical Compendium

Impact of Previous Abdominal Surgery on the Outcomes of Robotic Resection for Colorectal Cancer: An Analysis of Conversions, Short-Term Outcomes and Quality of Oncologic Resections.

The international journal of medical robotics + computer assisted surgery : MRCAS Jun 1, 2026

BACKGROUND: This study investigated the impact of previous abdominal surgery (PAS) on short-term outcomes in robotic resection for colorectal cancer. METHODS: 517 patients with colon or rectal cancer undergoing robotic resection between 2014 and 2024... read more

RETRACTION: Human-in-the-Loop Artificial Intelligence System for Systematic Literature Review: Methods and Validations for the AutoLit Review Software.

Cochrane evidence synthesis and methods Jun 1, 2026

[This retracts the article DOI: 10.1002/cesm.70059.]. read more

Quantifying the AI readiness gap: An international, multidisciplinary assessment of artificial intelligence literacy in the radiation oncology community.

Clinical and translational radiation oncology Jun 1, 2026

PURPOSE: The rapid integration of artificial intelligence (AI) into imaging-intensive fields like radiation oncology (RO) is transforming the clinical workforce from manual operators to supervisory validators, yet the baseline competencies required f... read more

PREDICTING POSTOPERATIVE OUTCOMES IN FULL-THICKNESS MACULAR HOLE REPAIR SURGERY: ChatGPT Versus Clinical Decision.

Retina (Philadelphia, Pa.) Jun 1, 2026

PURPOSE: To evaluate the ability of ChatGPT-5 to predict long-term anatomical and functional outcomes after full-thickness macular hole (FTMH) surgery, and to compare its performance with retinal specialists' predictions and real-world results. METHO... read more

BioGAP-Ultra: A Modular Edge-AI Platform for Wearable Multimodal Biosignal Acquisition and Processing.

IEEE transactions on biomedical circuits and systems Jun 1, 2026

The growing demand for continuous physiological monitoring and human-machine interaction in real-world settings calls for wearable platforms that are flexible, low-power, and capable of on-device intelligence. This work presents BioGAP-Ultra, an adva... read more

Optimal Tracking Control of Uncertain Nonlinear Systems Using Simplified Reinforcement Learning.

IEEE transactions on cybernetics Jun 1, 2026

This article investigates the optimal tracking control problem for high-order uncertain nonlinear systems by developing a simplified reinforcement learning (RL) framework with minimal neural networks (NNs). In contrast to conventional RL-based scheme... read more

Evolutionary Multiobjective Neural Architecture Search for Binary Neural Networks by Two-Stage Optimization.

IEEE transactions on cybernetics Jun 1, 2026

Binary neural networks (BNNs) have been applied in limited resources and mobile devices because of their extreme model compression ability. However, manually designing suitable architectures is challenging given the specialized structure of binarized... read more

ATRNet-STAR: A Large Dataset and Benchmark Toward Remote Sensing Object Recognition in the Wild.

IEEE transactions on pattern analysis and machine intelligence Jun 1, 2026

The absence of publicly available, large-scale, high-quality datasets for Synthetic Aperture Radar Automatic Target Recognition (SAR ATR) has significantly hindered the application of rapidly advancing deep learning techniques, which hold huge potent... read more

Cardiovascular Disease Classification System With ECG-Gating PCG Algorithm and Programmable AI Accelerator Design.

IEEE transactions on biomedical circuits and systems Jun 1, 2026

Cardiovascular diseases (CVDs) are among the leading causes of mortality. Traditional diagnostic methods require hospital visits and professional medical personnel, but the timely detection of cardiac conditions can significantly improve survival rat... read more

Dual Adaptive Disentangled Representation Learning With Multimodal Data for Disease Diagnosis.