Artificial Intelligence Medical Compendium

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

Showing 14,511 to 14,520 of 211,815 articles

Discriminative Site-Directed Protein Engineering via Lightweight CASPE Platform

bioRxiv May 20, 2026
Protein large language models (PLMs) provide a novel computational paradigm for the deep mining of sequence co-evolutionary information, significantly accelerating the generation of functional proteins for biotechnological and medical applications. H... read more 
bioengineering

Assessing the Generalizability of Machine Learning and Physics-Based Methods with DNA-Encoded Libraries

bioRxiv May 20, 2026
Predicting protein-ligand binding is a central challenge in computational drug discovery, and while machine learning (ML) and co-folding methods have advanced rapidly, their ability to generalize beyond training or parameterization regimes remains in... read more 
biophysics

The YTHDF proteins shape the brain gene signatures of Alzheimer's disease

bioRxiv May 20, 2026
The gene signatures of Alzheimer's Disease (AD) brains reflect an output of a complex interplay of genetic, epigenetic, epi-transcriptomic, and post-transcriptional regulation., yet the dominant factor shaping these signatures remains unclear. To ide... read more 
neuroscience

Enhancing diabetic retinopathy diagnosis and grading: a retrospective study on AI-assisted decision making and cost analysis.

The British journal of ophthalmology May 20, 2026
BACKGROUND/AIMS: Diabetic retinopathy (DR) is a major ocular complication of diabetes mellitus. While artificial intelligence (AI)-based DR screening tools have gained widespread adoption, most research focuses on comparing AI performance with human,... read more 

Impact of artificial intelligence on the availability, accessibility, acceptability and quality of ophthalmic disease screening services: a scoping review.

The British journal of ophthalmology May 20, 2026
This scoping review examines the existing literature on the application of artificial intelligence (AI) in screening for eye diseases, with a focus on evaluating whether AI-assisted diagnostic technologies enhance the availability, accessibility, acc... read more 

Peer review in the age of artificial intelligence: a comparative study of human and AI-generated review reports.

Postgraduate medical journal May 20, 2026
BACKGROUND: Peer review is central to maintaining scientific quality and helps editors make decisions. However, the volume of scientific publications continues to rise, placing pressure on the peer review system. With the rise of generative AI, its r... read more 

An externally validated machine learning algorithm for predicting mental and physical health outcomes three months post-hospitalization for severe viral infection with SARS-CoV-2.

Brain, behavior, & immunity - health May 20, 2026
Many individuals hospitalized due to severe viral infections develop mental and physical sequelae, which could potentially be prevented by targeted interventions for those at risk. Our goal was to develop and externally validate an algorithm for pred... read more 

Current Documentation in the Delivery Room and Strategies for Improvement.

Advances in neonatal care : official journal of the National Association of Neonatal Nurses May 20, 2026
BACKGROUND: Current neonatal resuscitation program standards recommend the use of real-time documentation completed by a designated scribe. Accurate documentation of resuscitation interventions after delivery is an important component of future care ... read more 

The evolving physician-AI relationship: a five-tier framework for integrating intelligent systems into clinical practice and medical education.

ESMO real world data and digital oncology May 20, 2026
Artificial intelligence (AI) is increasingly entering oncology, with systems demonstrating physician-comparable performance in selected tasks such as imaging interpretation, digital pathology analysis, and clinical documentation. However, limitations... read more 

LRF-CNN: An explainable lightweight receptive field-based CNN for colorectal cancer histopathological image classification.

iScience May 20, 2026
Colorectal cancer (CRC) screening and diagnosis rely on histopathological assessment, but many high-performing deep learning (DL) models remain computationally demanding and difficult to interpret. This study presents an explainable lightweight recep... read more 
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