Artificial Intelligence Medical Compendium

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

Showing 661 to 670 of 200,021 articles

Vermeer: Autoregressive generative modeling of microscopy predicts protein localization

bioRxiv Jun 2, 2026
Fluorescent microscopy provides a rich view into how proteins localize within cells, but it remains experimentally infeasible to image human proteins across all of the different factors that can impact localization. We introduce Vermeer, a channel-ad... read more 
cell biology

Multiplex Proteomics of Lewy Body Dementia Reveals Cerebrospinal Fluid Biomarkers of Clinical and Neuropathological Heterogeneity

bioRxiv Jun 2, 2026
Lewy body dementia (LBD), which encompasses Parkinson's disease dementia (PDD) and Dementia with Lewy bodies (DLB), lacks established biofluid markers of its complex clinical and neuropathological heterogeneity. Multiplex proteomic tools, such as the... read more 
systems biology

Augmenting Structured Diagnoses through Effective Use of Pre-trained Large Language Models on Clinical Notes

medRxiv Jun 2, 2026
Objective Clinical narrative provides a unique window into provider reasoning and attribution, but use has been limited by resource requirements and extensive fine-tuning, and LLMs in particular have traditionally not performed well at medical coding... read more 
health informatics

Calibrated and Interpretable Machine Learning for ICU Mortality Prediction Using First 24-Hour Clinical Data

medRxiv Jun 2, 2026
Objective: To develop, calibrate, and interpret machine learning models for predicting in-hospital mortality among intensive care unit (ICU) patients using clinical data collected during the first 24 hours of admission. Methods: We analyzed 53,866 ad... read more 
health informatics

Phenotypic Profiles of Suicidal Ideation in Obsessive-Compulsive Disorder: An Interpretable Machine Learning Approach

medRxiv Jun 2, 2026
Suicidal ideation in obsessive-compulsive disorder (OCD) is common and clinically significant, yet much of the existing literature conceptualizes suicide risk through the lens of comorbid depressive symptomatology. The present study examined whether ... read more 
psychiatry and clinical psychology

Smart AI-Powered Machine Learning Risk Assessment for Early Osteoporosis Detection for Women Bone Health

medRxiv Jun 2, 2026
Osteoporosis is often called a silent disease because it progresses without symptoms until a fracture occurs, posing a serious, yet frequently overlooked, threat to women health. In response to the pressing need for early detection, we introduce Oste... read more 
orthopedics

Enhanced precision of tensor electrocardiography through increased cumulative distribution function resolution: Validation in healthy individuals

medRxiv Jun 2, 2026
Deep-learning ECG analysis is advancing rapidly but lacks stable, physiologically interpretable indicators to anchor explainable artificial intelligence (AI). Tensor cardiography (TCG) models electrocardiographic (ECG) waveforms as differences betwee... read more 
cardiovascular medicine

Neovascular Glaucoma at a Tertiary Centre in Finland, 2008-2024: A Retrospective Cohort Study

medRxiv Jun 2, 2026
Background/Aims: Neovascular glaucoma (NVG) is an aggressive secondary glaucoma with limited longitudinal data. This study reports the aetiologies, treatments, and longitudinal outcomes in NVG. Methods: Patients with NVG were identified through elect... read more 
ophthalmology

Knowledge-Driven Neuro-Symbolic Reasoning for Personalized Oncology Treatment Recommendation Based on Multi-Modal Medical Knowledge Graph

medRxiv Jun 2, 2026
Personalized oncology treatment recommendation is a critical clinical task that requires in-tegrating complex, multi-modal patient data with established medical knowledge to ensure both accuracy and safety. While deep learning models excel at capturi... read more 
health informatics

Mitigating Automation Bias in Physician-LLM Diagnostic Reasoning Using Behavioral Nudges: A Randomized Controlled Trial

medRxiv Jun 2, 2026
As large language models (LLMs) enter clinical workflows, automation bias, the uncritical acceptance of automated output, poses a patient-safety risk. Optimal physician-AI collaboration requires trust calibration, matching scrutiny to LLM recommendat... read more 
health informatics
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