Artificial Intelligence Medical Compendium

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

Showing 30,311 to 30,320 of 220,100 articles

Bridging In Silico Design and Experimental Validation: Virtual Screening and In Vitro Assessment of Biomimetic Anticancer Peptides Inspired by Horseshoe Crab Hemolymph Proteins.

European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
BACKGROUND: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality, necessitating the development of more selective and safer therapeutic options. Biomimetic peptides derived from natural sources offer promising alternatives to c... read more 

Machine Learning Using Preoperative Patient Factors Can Predict the Severity of Pain Following Primary Total Hip Arthroplasty.

The Journal of arthroplasty
BACKGROUND: Persistent postoperative pain is a challenge in total hip arthroplasty (THA), yet a lack of accurate predictive tools exists for this outcome. This study aimed to develop and validate machine learning (ML) models to predict long-term pain... read more 

The Assessment of Coronal Plane Lower-Limb Alignment on Pre- and Postoperative Long-Leg Radiographs Using Deep Learning.

The Journal of arthroplasty
INTRODUCTION: Coronal plane lower-limb alignment, defined by metrics including the hip-knee-ankle angle (HKAA), lateral distal femoral angle (LDFA), and medial proximal tibial angle (MPTA), is useful for surgical planning and postoperative assessment... read more 

Comorbidity Burden and Length of Stay After Myocardial Infarction: A Retrospective Study Using Large Language Model-Assisted Chart Abstraction in a Tertiary Cardiac Hospital.

The American journal of cardiology
Patients' length of stay (LOS) during admission for myocardial infarction (MI) represents a closely tracked outcome metric for Cardiology services, which has declined over time. Charlson Comorbidity Index (CCI) is a validated tool for assessing overa... read more 

Reference Standard for Validation of Age-Related Macular Degeneration Screening Algorithms.

Ophthalmology
PURPOSE: Artificial intelligence (AI)-based screening models hold promise for identifying individuals with undiagnosed age-related macular degeneration (AMD) in non-specialist settings. A standardized reference framework for image labeling is needed ... read more 

Exploring quantum frontiers in protein structure prediction: techniques, challenges, and opportunities.

Methods (San Diego, Calif.)
Protein folding is governed by the principle of free energy minimization, where a protein's native tertiary structure corresponds to the global minimum on an energy landscape shaped by quantum mechanical interactions such as hydrogen bonding, van der... read more 

Spatiotemporal Deep Learning for Scar Screening in CMR: Toward Selective Use of Gadolinium.

Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
BACKGROUND: Late gadolinium enhancement (LGE) cardiovascular magnetic resonance (CMR) is the gold standard for assessing myocardial scar. However, a substantial proportion of patients referred for CMR scar assessment are ultimately found to have no e... read more 

mdxplain: Scalable Molecular Dynamics Analysis with Machine Learning-Based Feature Selection and Modular Workflows.

Journal of molecular biology
Molecular dynamics (MD) simulations provide detailed, time-resolved insight into molecular motion. Advances in hardware and software now make very large systems accessible, increasing the need for efficient tools to analyze the resulting trajectories... read more 

Deeptosis: A Deep Learning-Based Platform for Label-Free Discrimination of Apoptosis and Pyroptosis from Brightfield Microscopy.

Journal of molecular biology
MOTIVATION: Accurately distinguishing apoptosis from pyroptosis is essential for studying regulated cell death and its roles in immunity and disease, but their similar morphologies and shared upstream signals make label-free bright-field discriminati... read more 

Artificial Intelligence in Rare Pediatric Solid Tumor Research and Clinical Care: A Scoping Review.

Journal of pediatric surgery
BACKGROUND: Clinical and research advances for children with solid tumors are limited by their rare nature. Artificial intelligence (AI) and machine learning (ML) hold potential for advancing diagnosis, risk stratification, and treatment in rare dise... read more