Artificial Intelligence Medical Compendium

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

Showing 27,351 to 27,360 of 218,826 articles

PhaBOX2: an enhanced web server for discovering and analyzing viral contigs in metagenomic data.

Nucleic acids research
Metagenomic sequencing has transformed virus discovery; however, downstream bioinformatic analyses for viral identification, classification, and host prediction remain fragmented across multiple tools. Here, we present PhaBOX2, a major upgrade that e... read more 

Artificial Intelligence in Patient Education: ChatGPT for Penile Prosthesis Surgery Counseling, a Likert Scale Analysis.

Andrology
INTRODUCTION: Erectile dysfunction (ED) significantly impacts quality of life. For patients unresponsive to conservative treatments, penile prosthesis implantation represents an effective solution with high satisfaction rates. However, the complexity... read more 

Percutaneous Lung Biopsies Aided by Artificial Intelligence: A Comparison Between Computer and Physician-Chosen Biopsy Paths.

Journal of computer assisted tomography
OBJECTIVE: To compare Trajectory Recommendation Algorithm for CT-guided Biopsy (TRAX)-generated lung biopsy puncture pathways versus physician-chosen paths. MATERIALS AND METHODS: TRAX is an artificial intelligence (AI)-based algorithm that uses segm... read more 

Predicting microbial community responses to disturbance using genome-resolved trait-based life-history strategies.

The ISME journal
Understanding how microbial communities respond to disturbance remains a fundamental question in ecology, with broad implications for biodiversity, ecosystem function, and biotechnology. Trait-based approaches offer general rules to predict community... read more 

DiffDock-Glide: A Hybrid Physics-Based and Data-Driven Approach to Molecular Docking.

Journal of chemical information and modeling
Recent years have seen a rise in applications of deep learning to problems in the molecular sciences. Among them, the diffusion model DiffDock stands out as a method for docking small molecules into protein binding sites. But DiffDock struggles to co... read more 

CO coadsorption effects on the water-gas shift reaction over Cu clusters on Cu(111): insights from the machine learning force field and microkinetic modeling.

Physical chemistry chemical physics : PCCP
CO-induced Cu clustering has been observed experimentally and theoretically, yet its catalytic implications remain insufficiently understood. Here, we combine a machine learning force field (MLFF) with density functional theory and microkinetic model... read more 

Development and External Validation of a Deep Learning Model to Predict Mortality in Aneurysmal Subarachnoid Hemorrhage Using Admission Computed Tomography.

Neurosurgery
BACKGROUND AND OBJECTIVES: Traditional prognostication after aneurysmal subarachnoid hemorrhage depends on subjective clinical grading and radiological scoring systems that exhibit inter-rater variability and require multiple variables, hampering cli... read more 

Multi-modal machine learning highlights recipient genetic and clinical factors as primary drivers of post-transplant MASLD: A two-center study.

Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society
read more 

Learning Electronic Polarization in Molecular Systems: Vibrational Spectroscopy of Ethanol-Water Mixtures.

Journal of chemical information and modeling
Mixtures of water and ethanol are an important solvent for biochemical reactions, as well as being a model system for hydrophobic hydration, since the ethanol molecule consists of polar and nonpolar regions. Experiments carried out over the last seve... read more 

Learning Latent Representations to Bridge Coarse-Grained and Atomistic Resolutions in Polymer Simulations.

Journal of chemical theory and computation
We present a machine-learning-based framework for learning reduced-order representations of polymer chain conformations across coarse-grained (CG) and united-atom (UA) fidelities. By employing linear singular value decomposition and nonlinear autoenc... read more