Artificial Intelligence Medical Compendium

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

Showing 36,811 to 36,820 of 223,469 articles

Identifying Bariatric Surgery Patients With the Most Favorable Cost Outcomes.

Health services research
OBJECTIVE: To examine whether the economic benefits of bariatric surgery differ by patient subgroups, with the aim of identifying those that may yield the most favorable cost profile for improved return on investment in an exploratory analysis. STUDY... read more 

Deep Learning Segmentation of Pectoralis Muscle Volume at CT and Comparison with Pectoralis Muscle Area in COPD.

Radiology. Cardiothoracic imaging
Purpose To develop a deep learning model for segmenting pectoralis muscle volume (PMV) at CT and evaluate the reproducibility, group differences, and associations of pectoralis muscle area (PMA) and PMV with chronic obstructive pulmonary disease (COP... read more 

From Cultural Context to System Resilience: Advancing Global Mental Health for Older Adults.

The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry
Population aging worldwide has intensified the need to understand how mental health in later life is shaped by both cultural norms and structural systems. The book Mental Health in Older People Across Cultures underscores the central role of culture ... read more 

The Evaluation of Machine Learning Models Using Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF-MS) Spectra for the Prediction of Antibiotic Resistance in Klebsiella pneumoniae.

MicrobiologyOpen
Antimicrobial resistance in Klebsiella pneumoniae poses a major clinical challenge, driving development in rapid, diagnostic strategies that extend beyond conventional susceptibility testing. Twenty-three studies demonstrate that using matrix-assiste... read more 

Bringing AI to Cancer's Regulatory Genome.

Cancer discovery
A new AI model that predicts how noncoding DNA mutations alter gene regulation is helping cancer researchers identify which genetic changes drive tumor initiation and progression. Early studies show how AlphaGenome can unify multiple layers of genomi... read more 

From Benefits to AI: How BJC Health Is Embracing Change While Strengthening Culture.

Frontiers of health services management
In a time of dramatic change on multiple fronts, health systems must evolve with a mindset of persistent flexibility, where change is treated as normal rather than episodic or exceptional. At BJC Health (BJC), one of the nation's largest nonprofit he... read more 

Ardent Health: An AI-Enabled Virtual Care Model, from Pilot to Production.

Frontiers of health services management
Healthcare leaders face sustained uncertainty: workforce volatility, financial pressure, and accelerating technology change. In 2024-2025, Ardent Health advanced an AI-enabled virtual care model from pilot to production across multiple markets. The m... read more 

StabLyzeGraph: High-throughput screening of combinatorial mutations using graph neural networks.

Protein science : a publication of the Protein Society
Engineering protein stability is a powerful strategy across biotechnology and medicine, supporting a broad range of applications such as atomic structure determination, discovery of therapeutic molecules, biomanufacturing, diagnostic reagents, indust... read more 

Supervised learning of protein variant effects across large-scale mutagenesis datasets.

Protein science : a publication of the Protein Society
The increasing availability of data from multiplexed assays of variant effects (MAVEs) enables supervised model training against large quantities of experimental data to learn sequence-function relationships. Variant effect scores from MAVEs can, how... read more 

The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI): Prediction of Inpatient Admission From Emergency Departments Using Ensemble Machine Learning.

Emergency medicine Australasia : EMA
OBJECTIVE: Use artificial intelligence (AI) to extend the Sydney triage to admission risk tool (START) and improve prediction of emergency department (ED) patient disposition. METHODS: The study was conducted at an inner-city tertiary referral hospit... read more