AI Medical Compendium

Automated underwater imaging system for continuous biofouling assessment.

Biofouling Jan 15, 2026

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 Jan 15, 2026

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

Humans Language Educational Measurement Large Language Models Periodontics

Imaging and Quantification of Perivascular Adipose Tissue.

Arteriosclerosis, thrombosis, and vascular biology Jan 15, 2026

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 Jan 15, 2026

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 Jan 15, 2026

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 Jan 15, 2026

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 Jan 15, 2026

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

Machine learning-based typing of Clostridium botulinum group III by FT-IR spectroscopy.

Microbiology spectrum Jan 15, 2026

This study aimed to investigate the utility of Fourier-Transform Infrared Spectroscopy (FT-IRS) for differentiating Clostridium botulinum (C. botulinum) based on its botulinum neurotoxin (BoNT)-encoding gene type and its potential as an epidemiologic... read more

Future Prospects for Using Clinical Phenotypes in Tuberculosis Precision Medicine-An Approach for Clinical Management.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America Jan 15, 2026

Developing shorter treatment regimens for tuberculosis requires careful characterization of the clinical phenotype, which is defined by patient characteristics, radiological extent of disease, mycobacterial burden, drug susceptibility, and host respo... read more

Discussion of Predicting Pediatric Surgical Case Duration Using Machine Learning: Leveraging Team Dynamics and Case Flow Attributes.

Journal of the American College of Surgeons Jan 15, 2026

Artificial Intelligence Medical Compendium