Artificial Intelligence Medical Compendium

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

Showing 63,531 to 63,540 of 230,801 articles

Fast and Interpretable Machine Learning Modeling of Atmospheric Molecular Clusters.

The journal of physical chemistry. A
Understanding how atmospheric molecular clusters form and grow is key to resolving one of the biggest uncertainties in climate modeling: the formation of new aerosol particles. While quantum chemistry offers accurate insights into these early-stage c... read more 

Accelerating OLED development with machine learning: advances and prospects.

Chemical communications (Cambridge, England)
Organic light-emitting diodes (OLEDs) have garnered significant attention and demonstrated robust application potential across diverse fields. Traditional OLED material and device research and development-reliant on empirical experimentation and heur... read more 

Automated underwater imaging system for continuous biofouling assessment.

Biofouling
Traditional antifouling coating evaluations rely on manual sample retrieval, imaging and subjective visual assessments, which are labour-intensive and constrained by infrequent sampling intervals that may overlook critical fouling developments. This ... read more 

Leading large language models on a periodontology knowledge test.

Swiss dental journal
Large language models (LLMs) are increasingly used in clinical and educational settings. However, there is a paucity of data on LLMs' performance in specialized dental domains. This study assessed the performance of four LLMs, including two general-p... read more 

Imaging and Quantification of Perivascular Adipose Tissue.

Arteriosclerosis, thrombosis, and vascular biology
Perivascular adipose tissue (PVAT) is a metabolically active tissue that influences vascular function through paracrine signaling of adipokines. Pathologically altered PVAT is associated with proinflammatory, pro-oxidative, and proatherogenic signali... read more 

Comparable Outcomes in Pediatric and Adult Patients With Sudden Sensorineural Hearing Loss.

The Laryngoscope
OBJECTIVE: To identify prognostic factors for unilateral idiopathic sudden sensorineural hearing loss (SSNHL) in pediatric and adult patients, and to compare therapeutic efficacy between these age groups: METHODS: This retrospective cohort study incl... read more 

Preserving scientific integrity in academic publishing: Navigating artificial intelligence, journal policies and the impact factor as a quality indicator.

Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
The integration of artificial intelligence (AI), the rise of mega-journals, and the manipulation of impact factors present challenges to scientific integrity. These trends threaten the core principles of objectivity, reproducibility, and transparency... read more 

Predicting Activation Energy of Hydrocarbon Dehydrogenation on Au(111) via Machine Learning.

The journal of physical chemistry letters
Activation of C-H bonds in hydrocarbons is fundamental for synthesizing organic functional materials, yet traditional density functional theory (DFT) methods for determining reaction energy barriers are computationally intensive and often suffer from... read more 

Utilization of artificial intelligence in the management of cardiovascular diseases: Promise versus reality.

Kardiologia polska
Artificial intelligence (AI) can detect subtle patterns in data and therefore has the potential to improve patient care. This promise has inspired the development of numerous AI algorithms intended for use in cardiovascular medicine. The rapid evolut... read more