Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 24,231 to 24,240 of 217,425 articles

Utility-Preserving Federated Graph Learning with Dual-Perspective Fairness.

IEEE transactions on pattern analysis and machine intelligence Apr 30, 2026
Fairness-aware federated graph neural networks (FedGNNs) necessitate consideration of both the server and the clients. However, fairness-aware methods struggle to enhance dual-perspective (i.e., server and clients) fairness without sacrificing utilit... read more 

Beyond the hype: A simulation study evaluating the predictive performance of machine learning models in psychology.

Psychological methods Apr 30, 2026
Although machine learning (ML) methods are gaining popularity in psychological research, the debate about their usefulness ranges from hype to disillusionment. The discrepancy between the hopes placed in ML methods and the empirical reality is often ... read more 

Machine-Learning-Assisted X-ray Spectroscopy Decoding an Elemental Segregation Mechanism in Pt-Ru Binary Alloy Nanoparticles.

The journal of physical chemistry letters Apr 30, 2026
Elemental segregation in alloy materials critically determines their surface and bulk elemental compositions, which fundamentally govern key physicochemical properties, such as catalytic performance, stability, and mechanical characteristics. The dec... read more 

Evaluating Biomedical Feature Fusion on Machine Learning's Predictability and Interpretability of COVID-19 Severity Types: Model Development, Interpretation, and Validation.

JMIR formative research Apr 30, 2026
BACKGROUND: Accurately differentiating severe from nonsevere COVID-19 clinical types is critical for the health care system to optimize workflow. Current techniques lack the ability to accurately classify COVID-19 clinical types in patients, especial... read more 

Improving Long-Term Adherence to Endocrine Therapy Among Breast Cancer Survivors: Development of a Multiscale Modeling and Intervention System.

JMIR cancer Apr 30, 2026
BACKGROUND: Breast cancer is a significant public health burden. Despite its critical role in preventing the recurrence of breast cancer, rates of long-term adherence to endocrine therapy (ET) remain low among certain breast cancer survivors. Using e... read more 

Integrated High-Throughput Targeted Metabolomics and Machine Learning for Early Prediction and Prevention of Postoperative Delirium in Older Adult Surgical Patients: Prospective Multicenter Cohort Study.

JMIR aging Apr 30, 2026
BACKGROUND: Postoperative delirium (POD) is a common and severe complication in older adult patients with hip fracture, yet its pathogenesis remains unclear. OBJECTIVE: This study aimed to develop a predictive model for POD following hemiarthroplasty... read more 

Estimation of soil salt content in the oasis tillage layer based on hyperspectral transformation and model combination.

PloS one Apr 30, 2026
Soil salinization poses a serious threat to global soil health and agricultural productivity, especially in arid and semi-arid regions, making the accurate assessment of its extent and severity crucial. This study employs hyperspectral remote sensing... read more 

Modeling the relationship between residents' happiness and human settlement quality: An IGSA-MLPNN-GARSON approach.

PloS one Apr 30, 2026
Understanding how the quality of human settlements affects residents' happiness is crucial for sustainable urban planning during rapid urbanization. This study investigates the effects of human settlement quality (HSQ) on residents' happiness using m... read more 

Use of a Large Language Model to Reveal Narrative Architectures of Veteran Transition Stress: Development and Validation Study.

JMIR mental health Apr 30, 2026
BACKGROUND: The stress caused by multiple aspects of veterans' transitions from military to civilian, termed transition stress, represents a unique source of psychological impact that is underresearched due to its qualitative nature. The assessment o... read more 

Predicting water status, growth and yield of tomato under different irrigation regimes using the RGB image indices and artificial neural network model.

PloS one Apr 30, 2026
Water stress is a global challenge that severely impacts crop production by hindering essential physiological processes. To address this issue, proximal sensing has emerged as a promising technique for the early identification of stress in vegetables... read more 
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