Artificial Intelligence Medical Compendium

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

Showing 35,791 to 35,800 of 223,137 articles

Imaging and machine learning reveal pigment ring spatial characteristics in vitiligo progression.

Computers in biology and medicine
BACKGROUND: Vitiligo is a chronic autoimmune disorder causing skin depigmentation due to melanocyte loss, with pigment ring dynamics being key to understanding and managing the disease. METHODS: Data from 105 vitiligo patients were collected using re... read more 

LADNET: An MRI-based deep learning approach for Alzheimer's disease detection.

Computers in biology and medicine
Alzheimer's disease (AD) is considered a leading form of dementia, found in the majority of individuals, and it accounts for the highest prevalence of all the types of dementia. It is a gradually progressing condition which can begin with mild memory... read more 

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy.

Computers in biology and medicine
The distribution of produced isotopes during proton therapy can be imaged with Positron Emission Tomography (PET) to verify dose delivery. However, biological washout, driven by tissue-dependent processes such as perfusion and cellular metabolism, re... read more 

Dynamic trajectories of organ dysfunction in sepsis using the SOFA-2 score and early prediction from multicenter cohorts.

Intensive & critical care nursing
OBJECTIVES: The Sequential Organ Failure Assessment-2 (SOFA-2) score reflects contemporary intensive care practices, yet its longitudinal application in sepsis remains unexplored. METHODS: We conducted a multicentre retrospective cohort study of 18,4... read more 

HybridMolGen: A Unified Framework for Goal-Directed Molecular Generation via Multi-Objective Reinforcement Learning.

Bioinformatics (Oxford, England)
MOTIVATION: De novo molecular design remains a fundamental challenge in drug discovery, requiring simultaneous optimization of multiple conflicting objectives such as drug-likeness, synthetic accessibility, and novelty while maintaining chemical vali... read more