Artificial Intelligence Medical Compendium

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

Showing 2,231 to 2,240 of 235,116 articles

Automated Segmentation of Intrinsic Foot Muscles in Ultrasound Using Deep Neural Networks: Development and Validation Study.

Ultrasound in medicine & biology
OBJECTIVE: To develop and validate the first automated deep-learning image-processing framework for pixel-level segmentation of the plantar intrinsic foot muscles (PIMs) in ultrasound (US) images. This approach supports objective and reproducible US-... read more 

Interpretable machine learning framework for peptide lead optimization in ultralarge design spaces.

npj drug discovery
In modern peptide drug discovery, the incorporation of noncanonical amino acids (ncAAs) has become a powerful strategy to improve potency and key developability properties, including stability, solubility, and oral bioavailability. This shift has exp... read more 

Less can be more for predicting properties with large language models.

Nature computational science
Predicting properties from coordinate-category data-sets of vectors paired with categorical information-is fundamental to computational science, manifesting in materials science as predicting formation energies or elastic moduli from crystal structur... read more 

Who Is Using Pornography Generated by Artificial Intelligence? Correlates of AI-Porn Use and Familiarity in an Australian Adult Sample.

Archives of sexual behavior
Artificial intelligence (AI) technologies are rapidly transforming how people create and experience sexual content, including the emergence of AI-generated pornography (AI-porn). Yet little is known about who is engaging with this evolving medium. Th... read more 

Conceptualising Health Economic Models Using a Graph Retrieval-Augmented, Agentic AI Framework with Human-in-the-Loop Validation: Proof-of-Concept Study.

PharmacoEconomics - open
OBJECTIVE: Health economic models (HEMs) are crucial for assessing the cost-effectiveness of healthcare interventions, informing policy decisions and guiding reimbursement strategies. This study examines the feasibility of employing generative artifi... read more 

Charting the rise of artificial intelligence in medical education: a global bibliometric and network analysis, 2000-2026.

International journal of emergency medicine
BACKGROUND: Artificial intelligence has moved from a peripheral curiosity to a core feature of modern medical education through adaptive learning, simulation-based training, automated assessment, and large language models such as ChatGPT. Publication... read more 

Using machine learning to evaluate a non-selective enhanced recovery pathway for hip and knee arthroplasty: perioperative factors associated with same-day and early discharge.

Arthroplasty (London, England)
INTRODUCTION: Same-day and early discharge after total hip and knee arthroplasty (THA/TKA) depend not only on patient characteristics but on the perioperative pathway itself. This study used supervised machine learning (ML) to evaluate a universal, n... read more 

Ultrahigh Interfacial Thermal Conductance across GaN/BAs Interfaces via Atomic-Level Engineering.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The integration of gallium nitride (GaN) with ultrahigh-thermal-conductivity boron arsenide (BAs) substrates represents a promising pathway for developing next-generation high-power devices. The heat dissipation capability of such integrated systems ... read more