Artificial Intelligence Medical Compendium

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

Showing 39,691 to 39,700 of 223,737 articles

The Geometry of Macroevolution: Phenotypic Evolution on Non-Euclidean Manifolds.

The American naturalist
AbstractPhylogenetic comparative methods typically rely on an often unstated and potentially unrealistic assumption: that phenotypes evolve within a flat Euclidean space. We advocate for explicitly considering the "geometry of macroevolution," propos... read more 

Domain-adapted language model using reinforcement learning for various dementias

medRxiv
Large language models excel at processing complex clinical data and advanced reasoning, yet domain-specific adaptation is essential to realize their full potential in fields such as Alzheimers disease and related dementias (ADRD). Here, we present a ... read more 

A Clinical Guideline-Grounded Hybrid Agentic Framework for Holistic Epilepsy Management.

medRxiv
Epilepsy is a chronic neurological disorder requiring multi-faceted management, including seizure detection, syndrome diagnosis, prognostication, antiseizure medication recommendation, epileptogenic zone localization, and surgical outcome prediction.... read more 

Predictive and Seasonal Dynamics of the Human Wastewater Virome

medRxiv
Wastewater-based epidemiology provides a scalable, noninvasive framework for population-level infectious disease monitoring, but traditional assays limit detection breadth and genomic insight. To address these constraints, we conducted targeted hybri... read more 

PRIME-CVD: A Parametrically Rendered Informatics Medical Environment for Education in Cardiovascular Risk Modelling

medRxiv
In recent years, progress in medical informatics and machine learning has been accelerated by the availability of openly accessible benchmark datasets. However, patient-level electronic medical record (EMR) data are rarely available for teaching or m... read more 

Social Determinants of Health and Chronic Disease Risk Prediction in the All of Us Research Program

medRxiv
Social determinants of health (SDoH), the social, economic, and environmental conditions shaping health trajectories, contribute to chronic disease risk comparably to clinical factors, yet most predictive studies model conditions independently, obscu... read more 

AI-Assisted Pneumonia Detection, Localisation and Report Generation from Chest X-rays

medRxiv
Purpose: Pneumonia detection in chest X-rays (CXRs) is complicated by high inter-observer variability and overlapping radiographic patterns. While deep learning (DL) solutions show promise, limitations in generalisability and explainability hinder cl... read more 

Automated Extraction of Cancer Registry Data from Pathology Reports: Comparing LLM-Based and Ontology-Driven NLP Platforms

medRxiv
Cancer data standardization requires converting unstructured pathology reports into structured registry variables, a mostly manual and resource-intensive task. We evaluated two automated extraction platforms: Brim Analytics, an LLM-based system that ... read more 

Development and Validation of a Multimodal AI-Based Model for Predicting Post-Prostatectomy Treatment Outcomes from Baseline Biparametric Prostate MRI

medRxiv
Prostate cancer (PCa) is the second most common cancer and cause of cancer death in American men. Existing risk prediction methods have limited accuracy and reproducibility, resulting in difficulty in predicting disease severity. We demonstrate the d... read more 

A Machine Learning Approach to Defining and Predicting the Scale of Typhoid Fever Outbreaks

medRxiv
Despite improvements in access to clean water and sanitation, typhoid fever outbreaks continue to cause substantial morbidity and mortality worldwide. The World Health Organization (WHO) recommends the use of typhoid conjugate vaccines (TCVs) for out... read more