AI Medical Compendium

Deciphering the predictors of endometrial nonbenign lesions in asymptomatic postmenopausal women via explainable machine learning.

Menopause (New York, N.Y.) May 1, 2026

OBJECTIVES: Timely identification of endometrial nonbenign lesions led to improved outcomes, but there was a lack of effective predictive models for asymptomatic endometrial thickening. The aim of this study was to develop a strong machine learning (... read more

Task Optimization for Fixed-Time Control of Intermittent Human-Robot Interaction With Time-Varying Exponents and Coefficients.

IEEE transactions on cybernetics May 1, 2026

In this article, we investigate the task optimization for fixed-time control of intermittent human-robot interaction, where a human operator assists the robot intermittently in selecting the most appropriate Pareto solution. First, as for the Lyapuno... read more

Learn to Enhance Sparse Spike Streams.

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

High-speed vision tasks have long been a challenge in computer vision. Recently, the spike camera has shown great potential in these tasks due to its high temporal resolution. Unlike traditional cameras, it emits asynchronous spike signals to capture... read more

Ensemble Encoder-Enabled Proactive Human Assembly Intention Recognition With Multimodal and Flexible Scale Data.

IEEE transactions on cybernetics May 1, 2026

Human-robot collaboration (HRC) assembly necessitates precise mutual cognition to guarantee safe and efficient execution. In this context, human assembly intention recognition (HAIR) serves as a critical approach to achieving this mutual understandin... read more

IN-HUMAN FEASIBILITY AND SAFETY OF SUBRETINAL DRUG INJECTION THROUGH ATTACHED RETINA USING A ROBOTIC COMANIPULATION SYSTEM.

Retina (Philadelphia, Pa.) May 1, 2026

PURPOSE: To evaluate feasibility and safety of robot-assisted subretinal injections through attached retina using the comanipulated Mynutia system in patients with submacular hemorrhage. METHODS: This prospective, single-center case series included 2... read more

60 kVp Coronary CT Angiography as a Screening Tool on Asymptomatic Patients: An Initial Experience.

Journal of thoracic imaging May 1, 2026

PURPOSE: To investigate the feasibility of using 60 kVp coronary CT angiography (CCTA) combined with deep learning-based CT reconstruction as a screening tool on asymptomatic patients. MATERIALS AND METHODS: A total of 156 asymptomatic patients (body... read more

Enhancing patient education in cataract surgery using a conversational artificial intelligence chatbot: pilot randomized controlled trial.

Journal of cataract and refractive surgery May 1, 2026

PURPOSE: To evaluate the effectiveness and usability of a safety-first, clinician-validated conversational artificial intelligence (AI) chatbot for cataract surgery education compared with standard brochures. SETTING: University Hospital (UZ Brussel)... read more

Forget Me Not: Fighting Local Overfitting With Knowledge Fusion and Distillation.

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

Overfitting in deep neural networks occurs less frequently than expected. This is a puzzling observation, as theory predicts that greater model capacity should eventually lead to overfitting - yet this is rarely seen in practice. But what if overfitt... read more

Automated Logical Observation Identifiers Names and Codes mapping with biomedical natural language processing models: enabling scalable health information exchange via the Open Concept Lab.

Journal of the American Medical Informatics Association : JAMIA May 1, 2026

OBJECTIVES: Efficient exchange of health information requires consistent representation of clinical concepts across laboratories, hospitals, and public health systems. LOINC supports this interoperability by standardizing laboratory test codes, but m... read more

Deep Learning Reconstruction Enables Diagnostic-Quality 0.4T Knee and Spine MRI in One-Third of the Time.

NMR in biomedicine May 1, 2026

There has been a growing interest in low-field MRI due to its lower costs, enabling an increase in accessibility of MRI worldwide. Long scan times are currently needed to obtain high-quality images. The aim of our study was to accelerate low-field 0.... read more

Artificial Intelligence Medical Compendium