Artificial Intelligence Medical Compendium

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

Showing 1,941 to 1,950 of 213,633 articles

The write-cost bottleneck: energy constraints on continual learning in brains and machines.

Cognitive neurodynamics
In recent decades, neural energy-budget research has extensively quantified signaling costs-the "read" side of computation-including action potentials, synaptic transmission, and ionic homeostasis. Yet the metabolic cost of learning itself remains fa... read more 

Artificial Intelligence and Clinician Burnout in the United States: A Narrative Review.

Cureus
Burnout remains one of the defining occupational hazards of healthcare in the United States, and it spares no one on the care team: physicians, nurses, trainees, and assistants all report it at high rates. When generative AI entered healthcare around... read more 

DETERIO-LLM: enhancing traditional deterioration risk scores with clinical context and advanced reasoning.

JAMIA open
OBJECTIVES: Accurate and timely prediction of physiological deterioration in hospitalized patients is essential, but existing deep learning models, which rely solely on structured electronic health record (EHR) data, generate high false-positive rate... read more 

A novel method for EKG anomaly detection based on the double sliding window technique.

Computer methods in biomechanics and biomedical engineering
Traditional detection methods often rely on fixed thresholding or machine-learning models, which can be computationally expensive. This study introduces a double-sliding-window technique to detect anomalies in ECG signals through adaptive-signal anal... read more 

Membrane Fusion-Assisted Laser Desorption/Ionization Mass Spectrometry for In Situ Extracellular Vesicle Metabolic Fingerprinting.

Analytical chemistry
Metabolites packaged within extracellular vesicles (EVs) are increasingly recognized for their role in intercellular communication and metabolic regulation. However, their comprehensive characterization remains challenging due to the low abundance of... read more 

Intelligent Computing for Future Layered Cathodes in Sodium-Ion Batteries.

Small (Weinheim an der Bergstrasse, Germany)
Sodium-ion batteries are promising for large-scale energy storage due to resource abundance and low cost. Layered NaxTMO2 cathodes offer high specific capacity and tunable compositions but face challenges in structure-property correlations, sluggish ... read more 

An optimized deep learning-based drug recommendation system using a sentiment analysis and transformer models for improved predictions.

Informatics for health & social care
BACKGROUND: Healthcare users can be assisted by a medicine or drug recommendation system (MRS) by understanding their needs and supporting informed decisions based on complex knowledge. The biggest challenge is analyzing users' sentiments, as human l... read more 

Medical student reliance on artificial intelligence in nephrology education.

Journal of nephrology
BACKGROUND: Large language models such as ChatGPT are increasingly used in medical education and may influence student learning and decision-making. Despite strong performance on factual recall, limitations in clinical reasoning raise concerns about ... read more