AI Medical Compendium

Underperformance of Machine Learning Models Predicting Readmission and Prolonged Length of Stay Following Total Knee Arthroplasty Among Underrepresented Populations: Fairness Analysis and Mitigation Strategies.

The Journal of arthroplasty Apr 2, 2026

BACKGROUND: While machine learning (ML) models demonstrate high predictive accuracy, recent studies reveal that ML models underperform for smaller subcohorts such as racial and ethnic minorities, suggesting inherent ML biases that may exacerbate heal... read more

Identification of key genes associated with butyrate metabolism in keratoconus through Mendelian randomization and transcriptomic analysis.

Experimental eye research Apr 2, 2026

BACKGROUND: Keratoconus (KC) is a degenerative corneal disease with a complex etiology that severely affects vision. Butyrate is a saturated short-chain fatty acid with anti-inflammatory properties. Accumulating evidence underscores a significant rol... read more

The WISeR Model and its Potential Impacts on Dermatologic Care.

Journal of the American Academy of Dermatology Apr 2, 2026

Gut microbial extracellular vesicles modulate the development of metabolic dysfunction-associated steatohepatitis through the gut-liver axis.

Pharmacological research Apr 2, 2026

Metabolic dysfunction-associated steatohepatitis (MASH) represents a growing global health challenge due to its propensity to progress to irreversible hepatic disorders, including fibrosis, cirrhosis, and carcinoma. This study aimed to investigate th... read more

From Uncertainty to Precision: Artificial Intelligence-Enhanced Molecular Diagnostics for Thyroid Nodules.

Endocrine practice : official journal of the American College of Endocrinology and the American Association of Clinical Endocrinologists Apr 2, 2026

Medium-aware multi-task learning for robust bacterial identification using Raman spectroscopy.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Apr 2, 2026

Raman spectroscopy has demonstrated significant potential for rapid bacterial identification; however, bacterial spectral signatures are frequently confounded by complex culture medium background signals, leading to limited generalization under varyi... read more

FT-NIR and HPLC combined with machine learning for origin traceability and prediction of characteristic component content in Gastrodia elata.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy Apr 2, 2026

As a dual-purpose plant with both medicinal and culinary applications, Gastrodia elata (GE) benefits from origin traceability and content prediction to guide quality assessment of its products. This study utilized HPLC to quantify the primary charact... read more

Targeted advertising in generative artificial intelligence chatbots: a new public health risk.

Lancet (London, England) Apr 2, 2026

Machine-learning enhanced simulations predict graphene is hydrophobic and microscopically not wetting transparent.

Nature communications Apr 2, 2026

The interaction between graphene and water is fundamental to applications ranging from filtration to nano-electronics, yet the intrinsic wettability of graphene remains a subject of longstanding debate. In particular, it is disputed whether graphene ... read more

Malignant vs. Non-malignant Annotations on TCGA Breast Cancer Whole Slide Images for AI Analysis.

Scientific data Apr 2, 2026

Identification of malignant and non-malignant regions in breast cancer whole slide images (WSIs) is essential for understanding tumor heterogeneity and histopathological evaluation. Annotated data allows deep learning models to learn features and ana... read more

Artificial Intelligence Medical Compendium