Artificial Intelligence Medical Compendium

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

Showing 48,501 to 48,510 of 224,199 articles

Building an Extracorporeal Membrane Oxygenation Digital Twin Using High-Resolution Patient Data: An artificial intelligence model for virtual reality simulation.

Interdisciplinary cardiovascular and thoracic surgery
OBJECTIVES: Extracorporeal membrane oxygenation (ECMO) is a life-saving therapy for severe cardiopulmonary failure, but structured training remains constrained by costs, logistics, and the absence of validated high-fidelity simulators. This study aim... read more 

Clinical Integration of 3-Dimensional Printing in Shoulder Surgery: Current Applications, Evidence, and Future Directions: A Narrative Review.

JBJS reviews
» Three-dimensional printing improves shoulder surgery by creating precise anatomical models for better planning and visualization.» Patient-specific guides and implants enhance accuracy, shorten surgery time, and lead to better functional outcomes i... read more 

The science and practice of proportionality in AI risk evaluations.

Science (New York, N.Y.)
AI evaluations should provide meaningful risk information without imposing excessive burden. read more 

Toward universal steering and monitoring of AI models.

Science (New York, N.Y.)
Artificial intelligence (AI) models contain much of human knowledge. Understanding the representation of this knowledge will lead to improvements in model capabilities and safeguards. Building on advances in feature learning, we developed an approach... read more 

Rapid directed evolution guided by protein language models and epistatic interactions.

Science (New York, N.Y.)
Protein engineering is limited by the inefficient search through a high-dimensional sequence space to find combinations of synergistic mutations. Traditional approaches use stepwise mutation stacking, whereas machine learning methods require extensiv... read more 

High-Performance Semiempirical Excited-State Molecular Dynamics Powered by Graphics Processing Units.

The journal of physical chemistry letters
This Letter introduces excited-state molecular dynamics in PYSEQM, a GPU-accelerated semiempirical quantum chemistry engine implemented in PyTorch. The new module enables Born-Oppenheimer molecular dynamics (BOMD) using configuration-interaction sing... read more 

Investigating the predictive power of seismic statistical features using ensemble learning.

PloS one
Earthquake prediction is an extremely challenging problem, one that has been in the past (and sometimes still is) claimed to be impossible. Given this undisputed high level of difficulty, work that reports a high level of prediction success might rea... read more 

Design and development of a convolutional neural network based on human cognitive attention mechanism for automatic classification of leukemia.

PloS one
Cancer occurs when healthy cells in the body grow abnormally and out of control. Leukemia is a type of cancer that affects White Blood Cells (WBCs) and can cause a lethal infection and early death. Identification and classification of different types... read more 

A dynamical anthrax toxin nanopore biosensor for high-fidelity single-peptide classification.

PLoS computational biology
Nanopore sensing holds the potential to revolutionize proteomics, yet current methods often rely on ensemble aggregation, where thousands of events must be statistically aggregated or averaged to identify a protein or peptide signature. While effecti... read more 

Knowledge flows from science to AI technology: Identifying core and brokerage technological roles.

PloS one
The rapid advancement of artificial intelligence (AI) technologies has not only driven convergence with diverse technological domains but also swiftly spread across various industrial sectors. As a knowledge-intensive field, AI is particularly shaped... read more