Artificial Intelligence Medical Compendium

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

Showing 37,631 to 37,640 of 223,469 articles

Neural feature alignment between large language models and brain activities: A knowledge-based framework for cross-modal analysis.

Neural networks : the official journal of the International Neural Network Society
Recent studies examining the representational alignment between Large Language Models (LLMs) and brain activity show promising correspondences, yet lack detailed analyses of shared cognitive mechanisms. We introduce Feature Alignment (FA), an interpr... read more 

Learning potential energy surfaces of hydrogen atom transfer reactions in peptides.

Digital discovery
Hydrogen atom transfer (HAT) reactions are essential in many biological processes, such as radical migration in damaged proteins, but their mechanistic pathways remain incompletely understood. Simulating HAT processes is challenging due to the confli... read more 

What's new on the market? Combining internet traces and pretrained language models to recognize emerging drug names.

Forensic science international
Posts and comments published by users in online forum discussions provide valuable insights and might contain the earliest traces of new substances emerging on the market. However, the systematic recognition of emerging new psychoactive substances (N... read more 

DamCrack: A drone and smartphone image dataset for 2D and 3D damage assessment in concrete dams.

Data in brief
We present DamCrack, a novel dataset comprising high-resolution images of a concrete dam in Spokane, Washington, USA, captured using a drone-including autonomous flights with overlapping images-and mobile devices to document complex surface deteriora... read more 

A comparative evaluation of machine learning algorithms for predicting chicken egg weight from egg quality traits.

Veterinary and animal science
This study compared the effectiveness of artificial neural network (ANN), K-Nearest Neighbors (KNN), Gradient Boost regression (GBoost), random forest regression (RFR), support vector regression (SVR), and classification and regression trees (CART) a... read more 

BD-KDD: A real-world clinical dataset for kidney disease diagnosis and healthy classification.

Data in brief
Kidney disease is a major global health concern that requires timely diagnosis and effective monitoring to prevent severe complications and improve patient outcomes. This data article presents BD-KDD, a structured clinical dataset designed to facilit... read more 

Brain volumetric variability and artificial intelligence diagnosis: Importance of race/ethnicity-specific reference standards and social determinant adjustment. A scoping review.

Advances in clinical and experimental medicine : official organ Wroclaw Medical University
Neuroimaging techniques such as magnetic resonance imaging (MRI) are routinely used in diagnostic radiology to evaluate brain changes associated with neurological and psychiatric conditions. Evidence suggests that imaging biomarkers predict clinical ... read more 

Utilizing large language models to evaluate medical research abstracts.

Surgery
BACKGROUND: The current evaluation of abstracts for national conferences faces challenges in consistency due to subjectivity and implicit biases. This study explores the feasibility of using ChatGPT-3.5-turbo models to grade and rank medical abstract... read more 

Identification of biomarkers associated with endoplasmic reticulum stress-related cell death in osteoporosis based on bulk and single-cell transcriptomic analyses and experimental validation.

Scientific reports
Osteoporosis (OP) is a metabolic bone disease characterized by low bone mineral density (BMD), and its pathogenesis involves endoplasmic reticulum (ER) stress-related cell death. This study aimed to identify diagnostic biomarkers associated with ER s... read more