Artificial Intelligence Medical Compendium

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

Showing 701 to 710 of 234,501 articles

Apus enables automated end-to-end analysis and quality control of large-cohort proteomics data.

Cell reports methods
Translating large-cohort proteomics data into biomedical insights requires timely, scalable, and reproducible data analysis. Here, we present Apus, an end-to-end solution built on a distributed private cloud architecture that automates the entire dat... read more 

Multi-omics atlas of chronic exercise.

Cell
Exercise reduces all-cause mortality, yet its molecular effects across organs, sexes, and circadian phases remain incompletely understood. We subjected mice to 8 weeks of voluntary wheel running and collected 22 tissues and plasma during active and i... read more 

Impact of data augmentation techniques on deep transfer learning for heart sound classification.

Biomedical physics & engineering express
Cardiovascular diseases remain one of the primary causes of death worldwide, highlight- ing the importance of early detection. PhonoCardioGraphy (PCG) provides a non-invasive approach to identify cardiac abnormalities. However, its effectiven... read more 

Accuracy, Usefulness, and Expert-Perceived Clinical Impact of Response Variability in ChatGPT-4o for Hyperlipidemia-Related Questions.

Journal of pharmacy practice
ChatGPT-4o, an advanced Artificial Intelligence based large language model, has demonstrated utility for providing medical information. Data regarding its accuracy and usefulness for hyperlipidemia pharmacotherapy are limited. Additionally, the clini... read more 

Identification of predisposing factors for hematotoxicity in occupational benzene-exposed workers using machine learning and SHAP interpretation.

Toxicology letters
Benzene is an important industrial material and environmental pollutant, and even low-level exposure has been associated with hematotoxicity. Therefore, the identification of predisposing factors for hematotoxicity induced by occupational benzene exp... read more 

The Carbon Footprint of Clinical Artificial Intelligence in Anaesthesiology: An Order-of-Magnitude Comparison with Current Clinical Practice.

Anaesthesia, critical care & pain medicine
Artificial intelligence (AI) is rapidly reshaping anaesthesiology and critical care, enhancing physiological monitoring, perioperative risk prediction, and clinical decision-making. As its adoption accelerates, attention has increasingly turned to th... read more 

Optical biosensors for cancer diagnosis and monitoring.

Clinica chimica acta; international journal of clinical chemistry
Cancer is driven by complex genetic and epigenetic alterations that promote uncontrolled cellular proliferation, invasion, and metastasis. Despite substantial advances in oncology, conventional diagnostic approaches remain constrained by invasiveness... read more 

A Predict → Confirm → Act Framework for AI-Augmented MDRO Control Across Hospitals and Long-Term Care Facilities.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
Multidrug-resistant organism (MDRO) control depends on identifying colonized patients and emerging transmission events early enough to intervene, without overwhelming infection prevention and control (IPC) teams or unnecessarily isolating patients. P... read more 

OrtogOnBlender XP and the integration of Artificial Intelligence in 3D virtual planning for orthognathic surgery.

Journal of stomatology, oral and maxillofacial surgery
The evolution of three-dimensional virtual surgical planning has driven significant advances in the predictability and precision of orthognathic surgery. However, traditional workflows still rely on time-consuming manual steps, particularly in segmen... read more