AI Medical Compendium

Machine learning-based prediction of sudden cardiac death in the general population using electronic health record data.

European journal of preventive cardiology Mar 6, 2026

AIMS: The vast majority of sudden cardiac death (SCD) cases occur in the general population with few known risk factors instead of just patients already identified to be at high risk, making the prediction of SCD very difficult. Therefore, a better s... read more

Enhancing Early Detection of Contralateral Breast Cancer in Breast Cancer Survivors Using AI-Assisted Mammography.

Annals of surgical oncology Mar 6, 2026

BACKGROUND: Women with a history of breast cancer face an elevated risk of developing contralateral breast cancer (CBC). Although annual mammographic screening is recommended, its sensitivity is limited, particularly in younger women and those with d... read more

Improving MRI-based differentiation of brain metastasis, glioblastoma, and primary CNS lymphoma using deep learning.

Neuroradiology Mar 6, 2026

Deep learning-based vessel segmentation in non-contrast black-blood MRI for treated aneurysm follow-up: a comparative study with TOF-MRA and DSA.

Neuroradiology Mar 6, 2026

Modifiable risk factors associated with increased retinal age gap in an Australian population.

GeroScience Mar 6, 2026

Retinal age gap (RAG)-the difference between retina-predicted age and chronological age-indicates biological ageing that has been linked to the risk of mortality and chronic disease. We aimed to identify risk factors associated with higher RAG in an ... read more

Attitudes and Knowledge Levels of Optometry Students and Educators Towards Artificial Intelligence in Optometric Practice: An Online Cross-Sectional Survey.

Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) Mar 6, 2026

PURPOSE: Artificial intelligence (AI) is poised to revolutionise all aspects of eye care practice in the coming decades. However, not much is known about optometry students' and educators' attitudes or knowledge levels about AI in optometry. METHODS:... read more

Deep learning-based prediction of 24-2 visual field from fundus photographs in glaucoma.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Mar 6, 2026

Balance biomarker for early differentiation of Parkinson's disease and multiple system atrophy with parkinsonian type.

Journal of neurology Mar 6, 2026

BACKGROUND: Parkinson's disease (PD) and multiple system atrophy with parkinsonian type (MSA-P) share various motor and nonmotor symptoms, complicating early differential diagnosis, although prognosis and levodopa response differ. OBJECTIVES: To deve... read more

Development trajectory and trends of ultrasound biomicroscopy in glaucoma research: a comprehensive 20-year bibliometric analysis.

International ophthalmology Mar 6, 2026

PURPOSE: This study conducts a comprehensive bibliometric analysis regarding the application of ultrasound biomicroscopy in glaucoma research over the past two decades. METHODS: Bibliometric analysis was performed on relevant literature published bet... read more

Machine learning approaches to forest species classification using spectral analysis.

Environmental monitoring and assessment Mar 6, 2026

High-resolution remote sensing technologies have increasingly become a versatile and cost-effective method for monitoring diverse ecosystems and enhancing vegetative species classification. This study utilizes two remote sensing approaches to classif... read more

Artificial Intelligence Medical Compendium