Artificial Intelligence Medical Compendium

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

Showing 1 to 10 of 210,785 articles

Aqueous Humor Liquid Biopsy Enables Multi-Omics Tumor Profiling and Methylation-Based Machine-Learning Stratification of Retinoblastoma

medRxiv
Primary tumor biopsy in retinoblastoma carries an unacceptable risk of extraocular dissemination. As a result, children treated with eye-sparing approaches currently lack access to tumor-derived genomic information at diagnosis, limiting accurate ris... read more 

Lesions Involving Medial Anterior Forebrain Pathway Circuitry Destabilize Phrase Timing in Adult Canary Song

bioRxiv
Basal ganglia thalamo cortical circuits are essential for learning complex motor sequences, yet their roles in controlling flexible motor behavior remain poorly understood. The homologous songbird Anterior Forebrain Pathway (AFP) drives song motor le... read more 

Machine learning-enabled behavioural and psychological symptoms of dementia management intervention for dementia caregivers: protocol for a hybrid factorial SMART-MRT trial.

BMC geriatrics
BACKGROUND: Behavioural and psychological symptoms of dementia (BPSD) affect over 90% of people living with dementia and are a major contributor to stress and adverse health outcomes among family caregivers. Caregiver‑led behavioural management inter... read more 

Multi-omics machine learning-driven investigation of super-enhancers signatures and prognostic biomarkers in lung adenocarcinoma.

Functional & integrative genomics
Lung adenocarcinoma (LUAD) is the most common histological subtype of malignant lung tumors, characterized by high incidence and mortality rates. Super-enhancers (SEs) are involved in regulating tumor transcription and promote tumorigenesis and progr... read more 

ShuffleLeNet architecture for spinal cord injury classification and level detection.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: To develop an automated and accurate framework for classifying spinal cord injuries (SCI) and detecting injury levels from CT images, thereby enabling early diagnosis and timely clinical intervention while addressing challenges related to no... read more 

A patient-derived benchmark for evaluating large language models in connective tissue diseases: blinded multi-stakeholder assessment and guideline comparison.

Rheumatology international
To co-develop disease-specific patient questions for connective tissue diseases (CTDs), compare patient/rheumatologist ratings of answers from language models (LLMs) versus Google Search, and quantify EULAR coverage of these patient-prioritized quest... read more 

Artificial Intelligence in Clinical Genetics: Current Applications and Challenges.

Indian journal of pediatrics
Multiomics, next-generation, and long-read sequencing approaches have transformed the practice of medical genetics. Complex cases often require several person-hours to make sense of the tens of thousands to millions of variants and biochemical patter... read more 

Tree-based machine learning models recover rule-based flare labels from virtual symptom diaries in pediatric Behçet's disease: an in silico proof-of-concept study.

Rheumatology international
Behçet's disease (BD) in childhood is characterised by recurrent inflammatory flares that can result in significant morbidity, most notably with ocular, mucocutaneous, and musculoskeletal manifestations. Timely detection of impending flares is diffic... read more 

Gut microbiome signatures associate with DNA methylation-based biological aging.

Scientific reports
Recent advances in machine learning have applied novel tools to aging research, yet the relationship between the gut microbiome and epigenetic aging remains underexplored. This proof-of-concept study investigates whether gut microbial composition is ... read more 

Recent advances in machine learning and Bayesian modeling for tropical disease prediction, diagnosis, and risk analysis: a scoping review.

BMC infectious diseases
BACKGROUND: Enhancing the capacity to forecast tropical disease transmission, identify key risk factors, and support timely public health responses is closely aligned with broader efforts to strengthen population health, including Sustainable Develop... read more