AI Medical Compendium

Multicentre evaluation of artificial intelligence risk classification for detection of clinically significant prostate cancer on biparametric MRI.

European radiology Sep 26, 2026

OBJECTIVES: To compare a commercially available artificial intelligence (AI) risk-classification system with PI-RADS for detecting clinically significant prostate cancer (csPCa) on prostate MRI. MATERIALS AND METHODS: This retrospective multicentre, ... read more

Machine learning models for predicting cerebrospinal fluid bacterial culture outcomes in post-neurosurgical meningitis-development and temporal three-year validation.

Archives of microbiology Sep 26, 2026

Post-neurosurgical bacterial meningitis (PNBM) is a serious complication associated with substantial morbidity and mortality. Bacterial culture presently serves as the gold standard for diagnosis, however, clinical reliance on third-tier reports to a... read more

Risk maps and spatial models for clinical infectious disease decision-making.

The Journal of infectious diseases Sep 26, 2026

Risk maps and spatial models provide key information about the endemicity and spread of infectious diseases. Novel data streams and statistical techniques, with the aid of artificial intelligence, create the opportunity for modern risk maps. To ensur... read more

Correction: Follicle identification in primate ovaries via machine learning.

Biology of reproduction Sep 27, 2026

The application of deep learning in intelligent assessment of horizontal bone loss in mandibular first molars.

Clinical oral investigations Sep 26, 2026

OBJECTIVE: This study aims to develop an assessment tool that utilizes deep learning (DL) techniques to automatically detect the extent of horizontal bone loss in mandibular first molars on cone-beam computed tomography (CBCT) images. METHODS: A tota... read more

Co-occurrence patterns and related risk factors of type 2 diabetes mellitus and metabolic dysfunction-associated steatotic liver disease.

Endocrine Sep 26, 2026

INTRODUCTION: Type 2 diabetes mellitus (T2DM) and metabolic dysfunction-associated steatotic liver disease (MASLD) are interrelated metabolic disorders worldwide. We aimed to characterize global co-occurrence patterns of T2DM and MASLD from a spatial... read more

Deep learning models for osteonecrosis of the femoral head on MRI: a systematic review and meta-analysis of diagnostic performance, staging accuracy, and external generalizability.

Skeletal radiology Sep 26, 2026

OBJECTIVES: To evaluate the diagnostic and prognostic performance of deep learning models for osteonecrosis of the femoral head (ONFH) on MRI, including detection, staging, and collapse prediction. METHODS: This prospectively registered search was co... read more

Chest auscultation - tradition and expectations Concerns and promises in the era of smart stethoscopes.

Scandinavian journal of primary health care Sep 26, 2026

AI-assisted digital stethoscopes can classify heart and lung sounds with accuracy comparable to or exceeding that of the average clinician and help the physician in the diagnostic process. With this essay we want to discuss benefits and downsides of ... read more

Identification and validation of a robust inflammation-related three-gene signature for the diagnosis of neonatal necrotizing enterocolitis via machine learning integration.

Pediatric surgery international Sep 26, 2026

PURPOSE: Neonatal necrotizing enterocolitis (NEC) is a severe gastroesophageal emergency in neonates, especially premature infants, with acute inflammation and necrosis. Due to the nonspecific nature of early clinical manifestations, delayed diagnosi... read more

Exploring the impact of artificial intelligence on radiation dose reduction in urological imaging: a systematic review from EAU endourology.

World journal of urology Sep 26, 2026

BACKGROUND: Patients with urological conditions often undergo recurrent computed tomography (CT) imaging, which results in cumulative radiation exposure which can be deleterious. Artificial intelligence (AI)- based technologies, including Deep Learni... read more

Artificial Intelligence Medical Compendium