Artificial Intelligence Medical Compendium

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

Showing 59,651 to 59,660 of 228,014 articles

3D Space as a Scratchpad for Editable Text-to-Image Generation

arXiv Jan 21, 2026
Recent progress in large language models (LLMs) has shown that reasoning improves when intermediate thoughts are externalized into explicit workspaces, such as chain-of-thought traces or tool-augmented reasoning. Yet, visual language models (VLMs) la... read more 
Computer Vision and Pattern Recognition

U-Harmony: Enhancing Joint Training for Segmentation Models with Universal Harmonization

arXiv Jan 21, 2026
In clinical practice, medical segmentation datasets are often limited and heterogeneous, with variations in modalities, protocols, and anatomical targets across institutions. Existing deep learning models struggle to jointly learn from such diverse d... read more 
Computer Vision and Pattern Recognition cs.LG

Communication-Efficient Federated Risk Difference Estimation for Time-to-Event Clinical Outcomes

arXiv Jan 21, 2026
Privacy-preserving model co-training in medical research is often hindered by server-dependent architectures incompatible with protected hospital data systems and by the predominant focus on relative effect measures (hazard ratios) which lack clinica... read more 
Machine Learning cs.AI cs.LG

Identification of antihypertensive, antidiabetic, and antioxidant peptides derived from hydrolysates of dairy white wastewaters containing milk proteins using machine learning insights.

Food research international (Ottawa, Ont.) Jan 21, 2026
Dairy white wastewater (WW), a by-product of industrial cleaning processes, contains residual milk proteins that can be enzymatically converted into bioactive peptides. In this study, WW proteins were hydrolyzed using four enzymes, pepsin, trypsin, t... read more 

Patient-specific deep offline artificial pancreas for blood glucose regulation in type 1 diabetes.

Smart health (Amsterdam, Netherlands) Jan 21, 2026
Due to insufficient insulin secretion, patients with type 1 diabetes mellitus (T1DM) are prone to blood glucose fluctuations ranging from hypoglycemia to hyperglycemia. While dangerous hypoglycemia may lead to coma immediately, chronic hyperglycemia ... read more 

Deep Learning-Based Classification of Slit-Lamp Photograph Quality in Microbial Keratitis.

Ophthalmology science Jan 21, 2026
OBJECTIVE: Microbial keratitis (MK) is one of the leading causes of blindness in low- and middle-income countries that often requires timely diagnosis and subsequent treatment. Literature has shown that poor-quality slit-lamp photos (SLPs) can negati... read more 

Integrating thermal liquid biopsy, clinical data, and mass spectrometry for early diagnosis and biomarker discovery in colorectal cancer.

iScience Jan 21, 2026
Early detection of colorectal cancer is essential to improving survival, where yet current diagnostic tools show limited performance. This study aimed to enhance diagnostic accuracy by integrating clinical variables with thermogram profiles obtained ... read more 

Evaluating deep learning time series models for PM2.5 forecasting across diverse horizons.

iScience Jan 21, 2026
Air pollution, particularly PM2.5, poses a major health challenge in urban areas such as Chengdu, China, where basin topography and intense emission sources exacerbate pollutant concentrations. This study evaluates four deep-learning time series algo... read more 

BrinjalFruitX: A field-collected image dataset for machine learning and deep learning-based disease identification in brinjal fruits.

Data in brief Jan 21, 2026
Brinjal (Solanum melongena) or eggplant is one of the four most essential vegetable crops that are grown in Bangladesh and contribute significantly to the agricultural industry of the country. Brinjal supports the livelihood of numerous small farmers... read more 

Generative Artificial Intelligence-Enabled Saliency Analysis of Eye Tracking in Cerebral/Cortical Visual Impairment (SET-CVI).

Ophthalmology science Jan 21, 2026
PURPOSE: Children with cerebral/cortical visual impairment (CVI) have neurological conditions that impact visual pathways in the brain, leading to deficits in both lower- and higher-order visual function that can be challenging to measure, especially... read more 
Popular Topics
Recent Journals