Artificial Intelligence Medical Compendium

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

Showing 49,051 to 49,060 of 224,513 articles

Influence of molecular representation and charge on protein-ligand structural predictions by popular co-folding methods

bioRxiv Feb 18, 2026
Recently developed deep learning-based tools can effectively generate structural models of complexes of proteins and non-proteinaceous compounds. While some of their predictive capabilities are truly exciting, others remain to be thoroughly tested. H... read more 
bioinformatics

A visualization framework for cell division activity and orientation in pre-anthesis ovaries of Prunus species

bioRxiv Feb 18, 2026
Fruit size and shape, which influence horticultural quality, are determined by the number and the size of the cells in the local region. In fruit trees, however, the difficulty of applying molecular genetic approaches has hindered a detailed understa... read more 
plant biology

AI-DRIVEN DIAGNOSIS OF NON-ALCOHOLIC FATTY LIVER DISEASE AND ASSOCIATED COMORBIDITIES

medRxiv Feb 18, 2026
Non-alcoholic fatty liver disease (NAFLD) is a globally prevalent hepatic condition caused by the buildup of fat in the liver. It is frequently associated with metabolic comorbidities such as hypertension, cardiovascular disease (CVD), and prediabete... read more 
health informatics

Disparities, Perceived Discrimination, and Patient-Clinician Communication in Alcohol Use Disorder Treatment: An All of Us Cohort Study

medRxiv Feb 18, 2026
Background and Aims: Alcohol use disorder (AUD) remains a major public health concern, with persistent disparities in access to evidence-based treatment. This study aimed to examine associations between perceived discrimination in healthcare settings... read more 
addiction medicine

Leveraging Expert Knowledge and Causal Structure Learning to Build Parsimonious Models of Acute Brain Dysfunction in the Pediatric Intensive Care Unit

medRxiv Feb 18, 2026
Machine learning adoption in clinical decision support systems remains limited by concerns about transparency and robustness. Causal structure learning (CSL) combined with expert knowledge may address these concerns by identifying potentially causal ... read more 
health informatics

SydneyMTL: Interpretable Multi-Task Learning for Complete Sydney System Assessment in Gastric Biopsies

medRxiv Feb 18, 2026
The Updated Sydney System (USS) provides a standardized framework for grading gastritis and stratifying gastric cancer risk. However, subjective observer variability and labor-intensive workflows impede its routine clinical use. To address these chal... read more 
pathology

Deep Agentic Variant Prioritisation for Expert Level Genetic Diagnosis Fast at Scale

medRxiv Feb 18, 2026
Abstract. Genetic diagnosis remains a formidable challenge characterized by a diagnostic odyssey that spans years, with over half of rare disease patients remaining undiagnosed affecting more than 300 million people on earth. Clinicians must navigate... read more 
genetic and genomic medicine

Quality versus quantity of training datasets for artificial intelligence-based whole liver segmentation

medRxiv Feb 18, 2026
Artificial intelligence (AI) based segmentation has many medical applications but limited curated datasets challenge model training; this study compares the impact of dataset annotation quality and quantity on whole liver AI segmentation performance.... read more 
radiology and imaging

Development and cross-tissue validation of a methylation profile score for the cortisol response to stress

medRxiv Feb 18, 2026
Hypothalamic-pituitary-adrenal axis (HPA axis) dysregulation is a risk factor for poor mental and physical health. Animal studies indicate that DNA methylation may be one mechanism through which stress can influence the function of the HPA axis, howe... read more 
genetic and genomic medicine

Life-course comorbidity patterns and integrated prediction of postpartum depression, multimorbidity, and symptom progression

medRxiv Feb 18, 2026
Perinatal depression (PD) is common and disabling, yet its longitudinal comorbidity patterns and predictability remain poorly understood. This study leveraged 8,804 women with delivery records in the All of Us cohort, including 438 with clinically di... read more 
epidemiology
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