AI Medical Compendium

Leveraging clinical epidemiology concepts to strengthen machine learning fairness evaluations.

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

OBJECTIVES: The increasing use of machine learning (ML) in clinical care makes fairness a central issue. Fairness, defined as the absence of disparities across individuals or subgroups, shares several parallels with concepts in clinical epidemiology.... read more

Perceptions of Intensive Care Nurses Toward Artificial Intelligence Technologies: A Qualitative Study.

Nursing & health sciences Jun 1, 2026

Intensive care nurses play a pivotal role in patient care; however, their perceptions and concerns regarding artificial intelligence (AI) in intensive care units remain limited. This study aimed to explore ICU nurses' views on AI to support effective... read more

Automating infection indicator extraction in home healthcare through instruction-tuned large language models.

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

OBJECTIVE: Home healthcare (HHC) clinical notes contain critical infection indicators that clinicians need in structured "indicator + context" pairs. Data sparsity and limited computing resources hinder automated extraction in decentralized HHC setti... read more

Artificial Intelligence Use in Problem-Based Learning: Implications for Clinical Reasoning.

The clinical teacher Jun 1, 2026

Causal Effect Estimation With TMLE: Handling Missing Data and Near Violations of Positivity.

Biometrical journal. Biometrische Zeitschrift Jun 1, 2026

We evaluate the performance of targeted maximum likelihood estimation (TMLE) for estimating the average treatment effect in missing data scenarios under varying levels of positivity violations. We employ model- and design-based simulations, with the ... read more

The DeepJoint Algorithm: An Innovative Approach for Studying the Longitudinal Evolution of Quantitative Mammographic Density and Its Association With Screen-Detected Breast Cancer Risk.

Biometrical journal. Biometrische Zeitschrift Jun 1, 2026

High mammographic density is a well-known risk factor for breast cancer and reduces the sensitivity of mammography-based screening. While automated machine and deep learning-based methods provide more consistent and precise measurements compared to s... read more

AI in Medical Education-Readiness Without Guidance.

The clinical teacher Jun 1, 2026

CEUS-Based Microvascular Invasion Predictor in HCC: Improving Prognostic Stratification Following Thermal Ablation.

Liver international : official journal of the International Association for the Study of the Liver Jun 1, 2026

BACKGROUND & AIMS: Microvascular invasion (MVI) critically impacts hepatocellular carcinoma (HCC) management. We aimed to develop and validate a deep learning model integrating contrast-enhanced ultrasound (CEUS) and clinical features for assessing M... 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

Artificial Intelligence Medical Compendium