ChatGPT Image 2.0 Signals Visual Reasoning To Solve Real-World Tasks

ChatGPT Image 2.0 suggests that AI image generation is evolving into visual reasoning and verifiable AI, with implications ...
The Lancet

Causal deep learning for real-time detection of cardiac surgery-associated acute kidney injury: derivation and validation in seven time-series cohorts

aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...
Medical Device and Diagnostic Industry (MD+DI)

AI-Powered Atrial Fibrillation Detection: How Machine Learning Is Transforming Cardiac Care Through ECG Analysis

At HRS 2026, Dr. Song Zuo presented evidence that AI can detect atrial fibrillation with over 90% sensitivity, ...

From ‘trust me’ to ‘show me’: Building technical assurance for AI in pharma

Embed technical assurance into vendor contracts, requiring evidence of performance/robustness/bias testing, transparency ...
Tech Times

How AI-Powered Smart Home Security Cameras Detect and Prevent Intrusions in Real Time

AI security cameras enhance smart home security using computer vision, behavioral anomaly detection, and facial recognition ...
Journal of Medical Internet Research

Diabetic Foot Ulcer Classification Models Using Artificial Intelligence and Machine Learning Techniques: Systematic Review

No system was recommended for individual prognostication, and the group considered that more detail in ulcer characterization was needed and that machine learning (ML)–based models may be the solution ...
Federal Register

Agency Information Collection Activities; Notice and Request for Comment; Novel Human-Machine Interface (HMI) Designs

This document has been published in the Federal Register. Use the PDF linked in the document sidebar for the official electronic format.
IEEE

YOLOv9-Based Human Face Detection and Counting Under Human-Animal Faces, Complex Imaging Environments, and Image Qualities

Abstract: Automatic human face detection and counting can play a vital role in the recognition and tracking of infant and adult faces in both outdoor and indoor human surveillance applications and ...
IEEE

Automated Classification of User Exercise Poses in Virtual Reality Using Machine Learning-Based Human Pose Estimation

Abstract: Human Pose Estimation (HPE) using machine learning presents significant potential for objectively analyzing user movements within Virtual Reality (VR) environments, particularly for ...