Artificial Intelligence Medical Compendium

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

Showing 3,601 to 3,610 of 203,255 articles

Integrating Histology with Spatial Molecular Programs Using a Multimodal Foundation Model

bioRxiv
Histopathological assessment remains central to cancer diagnosis and stratification, yet its mechanistic interpretation remains limited without molecular context. To address this, we developed SQUALL, a multimodal foundation model integrating histolo... read more 

Convergent genome- and gene-level constraints shape repeated environmental adaptation in grasses

bioRxiv
Grasses (Poaceae) dominate terrestrial ecosystems and sustain global food security, yet the genomic principles enabling their repeated adaptation to extreme environments remain unresolved. Combining dense phylogenomic sampling, global environmental d... read more 

Spatiotemporal Decoding of Explore-Exploit Decisions in the Human Brain

bioRxiv
Adaptive behavior requires flexibly shifting between exploiting familiar rewards and exploring novel opportunities. These explore-exploit decisions are implemented via a distributed brain network, anchored in frontopolar cortex (FPC) and ventromedial... read more 

Data-Efficient Exploration of Enzyme Function Using Family-Specific Machine Learning

bioRxiv
Enzymes are essential biocatalysts across diverse industries, driving demand for high-performing variants. Foundation models are attractive for guiding enzyme discovery, but often lack the resolution to model subtle variations driving function within... read more 

Performance of Vision-Language Models for Zero-Shot Lung Nodule Detection on Chest Radiographs

medRxiv
Background and Objectives: The ability of vision-language models (VLMs) to detect lung nodules on chest radiographs remains uncertain. This retrospective study aimed to compare the zero-shot performances of six VLMs for lung nodule detection using da... read more 

Deep Longitudinal Clusters of Type 2 Diabetes Pathophysiology and their Risk of Cardiovascular Disease Events and All-Cause Mortality

medRxiv
Objective: Despite the complex and non-linear progression of diabetes, its shared pathways with atherosclerotic cardiovascular disease (ASCVD) are conventionally described using models based on single time points. We identified longitudinal diabetes ... read more 

MealRes-Gate: Forecasting Glucose Dynamics from CGM and Sparse Meal Logs Using Residual-Gated Multimodal Transformer

medRxiv
Continuous glucose monitoring (CGM) enables personalized metabolic health support, but forecasting glucose in free-living settings remains challenging because future trajectories depend on both endogenous dynamics and sparsely recorded meals. We deve... read more 

Prognostic performance of an AI-based recurrence risk model in clinically low-risk HR+/HER2- early breast cancer

medRxiv
Objective Accurate prognostication of recurrence risk in HR+/HER2- early breast cancer is central for therapeutic decision-making, including identifying patients who may safely avoid adjuvant systemic therapy. However, the performance of existing pro... read more 

Comfort with AI for HIV Prevention Among Cisgender Women in New York City

medRxiv
Background: Long-acting pre-exposure prophylaxis (PrEP) expands HIV prevention options for women. However, PrEP impact depends on addressing persistent gaps in awareness, access, and use. Artificial intelligence (AI) tools, including conversational a... read more 

Leveraging Digitization, Archiving and Artificial Intelligence to Re-examine Predictors of Sustained Mental Health Care Engagement in Ugandan First-Episode Psychosis Patients: A Study Protocol

medRxiv
Background: We previously examined the burden and predictors of sustained mental health care engagement in Ugandan first episode psychosis patients by retrospective chart review methods. However, the extensive requirements of chart reviews meant that... read more