AI Medical Compendium

Responses and drivers of phytoplankton to the anthropogenic water-sediment regulation in the Yellow River.

Environmental pollution (Barking, Essex : 1987) Feb 19, 2026

The operation of the Xiaolangdi Reservoir's intensive water-sediment regulation imposes a significant, pulsed anthropogenic disturbance on the downstream Yellow River, substantially altering its hydrodynamic and sedimentary habitats. These alteration... read more

TADynFed: Dynamic modality-adaptive federated learning with tissue-aware disentanglement for cross-disease analysis.

Artificial intelligence in medicine Feb 19, 2026

Federated learning (FL) enables collaborative medical image analysis across decentralized institutions while preserving data privacy. However, real-world deployment faces critical challenges: modality heterogeneity, where clients possess incomplete o... read more

Dual-Stream Deep Feature and Cell Phenotype Fusion Model for the Diagnosis of Myeloproliferative Neoplasms.

Laboratory investigation; a journal of technical methods and pathology Feb 19, 2026

Diagnosing myeloproliferative neoplasms (MPNs) is challenging due to the nuanced and overlapping clinical manifestations of the various subtypes. Precise classification is essential for effective treatment and management of these disorders. This stud... read more

Beyond Pattern Recognition: A Gödelian Limit on Self-Validation in Radiological AI.

Journal of the American College of Radiology : JACR Feb 19, 2026

Artificial intelligence (AI) systems increasingly match or exceed human performance in narrowly defined radiological tasks, accelerating their clinical deployment. Yet these advances obscure a fundamental limitation: AI systems cannot independently d... read more

Outer Retinal Erosion and Outer Retinal Pinching at the Origin of Subretinal Fluid in Central Serous Chorioretinopathy.

American journal of ophthalmology Feb 19, 2026

PURPOSE: To characterize early outer retinal changes at the site of origin of subretinal fluid (SRF) in central serous chorioretinopathy (CSCR). To investigate their pathophysiologic and clinical significance. DESIGN: Retrospective, nonconcurrent, mu... read more

Gut-brain axis-mediated mechanisms and immune regulatory pathways in vascular dementia: insights into microbiota-derived metabolites and novel therapeutic strategies.

Behavioural brain research Feb 19, 2026

BACKGROUND: Vascular dementia (VaD), known for cognitive issues and cerebrovascular irregularities, is a common dementia type, but its molecular underpinnings are still uncertain. Emerging evidence indicates that gut microbiota and their metabolites ... read more

Exploring an Intermediate Colorectal Cancer Screening Test Based on Stool Proteomics and Machine Learning for Optimizing the Selection of Patients for Colonoscopy Identified from FIT.

Molecular & cellular proteomics : MCP Feb 19, 2026

The fecal immunochemical test (FIT) for detecting fecal occult blood, used alone or in combination with other stool biomarkers, has been demonstrated to be effective in the context of colorectal cancer (CRC) screening programs. However, FIT yields a ... read more

Are Pharmacy Programs Obligated to Train Students to Use AI for Clinical Practice?

American journal of pharmaceutical education Feb 19, 2026

The question of whether schools and colleges of pharmacy have an obligation to train their students in the use of artificial intelligence (AI) tools for clinical practice has gained increasing attention in recent years, particularly as AI platforms a... read more

Health or taste? Investigating food decision-making patterns in humans and large language models.

Appetite Feb 19, 2026

Large language models (LLMs) are increasingly used in simulating human decision-making processes, yet their ability to model value-based food decision involving competing attributes such as health and taste remains unclear. This study compared the de... read more

Toward generalizable predictive models for DNA-encoded libraries.

Drug discovery today Feb 19, 2026

DNA-encoded libraries (DELs) combined with machine learning (ML) offer a powerful paradigm for hit identification. However, sequencing-derived enrichment data are inherently noisy and biased, often resulting in models that overfit to specific chemica... read more

Artificial Intelligence Medical Compendium