AI Medical Compendium

Harnessing Artificial Intelligence to Counter Microbial Immune Evasion Strategies.

Clinical laboratory Jun 1, 2026

BACKGROUND: Microbial pathogens deploy sophisticated mechanisms to evade host immune responses, complicating the development of effective therapeutics. Artificial intelligence (AI) offers innovative tools to analyze complex host-pathogen interactions... read more

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

The clinical teacher Jun 1, 2026

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

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

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

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

Social Reasoning-Aware Trajectory Prediction via Multimodal Language Model.

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

Recent advancements in language models have demonstrated its capacity of context understanding and generative representations. Leveraged by these developments, we propose a novel multimodal trajectory predictor based on a vision-language model, named... read more

Direct Quantification of Uncertainty in Deep Learning-Based Automatic Sleep Staging.

IEEE transactions on bio-medical engineering Jun 1, 2026

OBJECTIVE: To evaluate and compare different methods for quantifying uncertainty in deep learning-based automatic sleep staging, thereby enhancing transparency and supporting clinical adoption. METHODS: Three models trained on the STAGES dataset were... read more

Artificial Intelligence Medical Compendium