AI Medical Compendium

Best of Artificial Intelligence in Gastroenterology 2026.

Gastrointestinal endoscopy Aug 10, 2026

Clinical application of artificial intelligence technology in epilepsy.

Acta epileptologica Aug 10, 2026

Epilepsy is a prevalent neurological disorder, and its inherent complexity and significant interindividual variability pose substantial challenges for clinical diagnosis and treatment. Against this backdrop, the rapid development of artificial intell... read more

Human-Edited Generative AI-Assisted Multiple-Choice Questions in Postgraduate Family Medicine: Blinded Cross-Sectional Comparative Psychometric Study.

JMIR medical education Aug 10, 2026

BACKGROUND: Generative artificial intelligence (GenAI) is increasingly used to draft multiple-choice questions (MCQs) for health professions education, but much evidence concerns raw model outputs, expert ratings, or item difficulty alone. Educators ... read more

Network-guided transcriptomics identifies drug-linked host-response biomarkers in tuberculosis disease-state transition.

Naunyn-Schmiedeberg's archives of pharmacology Aug 11, 2026

Distinguishing active tuberculosis (ATB) from the post-therapy state remains a key challenge in disease monitoring, as host-response signatures are often broad and difficult to interpret. Robust and biologically interpretable markers are needed to ca... read more

Calibration Model for Purple Air monitored PM2.5 across the United States.

Environmental pollution (Barking, Essex : 1987) Aug 10, 2026

Accurate monitoring of PM2.5 is vital for understanding air quality and public health impacts. Purple Air sensors (PA) have filled in PM2.5 gaps spatially and temporarily, and are popular for their low cost and real-time monitoring capabilities, but ... read more

Assessment of Ellipsoid Zone Integrity and Other Quantitative OCT Biomarkers for Intermediate AMD Progression to Atrophy.

Ophthalmology Aug 10, 2026

PURPOSE: To evaluate the association between baseline optical coherence tomography (OCT) biomarkers and 2-year disease progression from intermediate age-related macular degeneration (iAMD) to advanced atrophic AMD, defined by OCT, with emphasis on el... read more

Artificial Intelligence in Anesthesiology: Do Not Throw Caution to the Wind.

Anesthesia and analgesia Aug 10, 2026

KA-TMoE: A Deep Learning Method Using Time-Series CT Radiomics to Predict Post-Radiotherapy Rib Fractures in NSCLC Patients.

International journal of radiation oncology, biology, physics Aug 10, 2026

BACKGROUND AND PURPOSE: Rib fracture is a recognized clinical complication in medically inoperable patients with non-small cell lung cancer (NSCLC) undergoing stereotactic body radiotherapy (SBRT), leading to diminished quality of life and delayed re... read more

Selection and learning shape communication networks in the dog brain.

The Journal of neuroscience : the official journal of the Society for Neuroscience Aug 10, 2026

Over tens of thousands of years of coevolution with humans, dogs have developed exceptional communicative abilities through both inherited adaptations and individual learning. Using diffusion MRI tractography in 108 dogs (50 males and 58 females), we... read more

Patient blood management: the implementation gap does not lie in the lack of evidence, but misconceptions, structural deficits, lack of responsibility, behaviour and culture. Comment on Br J Anaesth 2026; 137: 74-88.

British journal of anaesthesia Aug 10, 2026

Artificial Intelligence Medical Compendium