Artificial Intelligence Medical Compendium

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

Showing 68,331 to 68,340 of 233,231 articles

Balancing Innovation and Responsibility: Ethical and Privacy Challenges in Stroke Digital Health.

Stroke
Digital health solutions are being increasingly used to support care delivery across various medical fields. In stroke care, technology has contributed to enhancing prehospital workflows, facilitating communication among health care professionals, an... read more 

Multi-parametric magnetic resonance imaging-based radiomics for differentiation of skull base osteomyelitis from locally advanced nasopharyngeal carcinoma: a multi-center external validation study.

Diagnostic and interventional radiology (Ankara, Turkey)
PURPOSE: Skull base osteomyelitis (SBO) and nasopharyngeal carcinoma (NPca) are challenging to differentiate due to overlapping clinical and radiological features. This study aimed to develop and validate a multi-parametric magnetic resonance imaging... read more 

Added value of AI for psychology or added value of psychology for AI?

British journal of psychology (London, England : 1953)
In this commentary, I express my concern that the special issue focuses too much on the added value of AI for psychology, while psychological research also has much to offer, such as the operationalization of variables based on theory, validation too... read more 

The role of artificial intelligence in enhancing interprofessional education and collaborative practice: a mixed methods scoping review.

Journal of interprofessional care
In this scoping review, we examined the role of artificial intelligence (AI) in enhancing interprofessional education and collaborative practice (IPECP) within healthcare settings. Drawing on the Canadian Interprofessional Health Collaborative "Compe... read more 

Integrating administrative health data and machine learning to predict ALS onset.

Amyotrophic lateral sclerosis & frontotemporal degeneration
BACKGROUND: This study aims to develop a Machine Learning (ML) model to predict the initial diagnosis of Amyotrophic Lateral Sclerosis (ALS). METHODS: To predict ALS, a stacked model combining four ML algorithms-logistic Regression, Decision Tree, Ra... read more 

Utility of local capillary supply indices: Insights from computational image-based modelling.

The Journal of physiology
Muscle oxygenation critically depends on capillary number and distribution within a tissue. Despite the development of numerous morphometric indices to quantify these attributes, many lack sensitivity or validation against local oxygen tension ( P O ... read more 

Emerging biomarkers in prostate cancer diagnosis and treatment: Insights into genetic, RNA and metabolic markers (Review).

International journal of oncology
Prostate cancer remains one of the most prevalent malignancies and a major cause of cancer‑related mortality among men worldwide. Despite widespread use of prostate‑specific antigen testing, current diagnostic approaches suffer from low specificity a... read more 

Alternative splicing in cancer drug resistance: Mechanisms and therapeutic prospects (Review).

Oncology reports
Alternative splicing (AS) is one of the principal mechanisms of post‑transcriptional regulation that confers transcriptomic plasticity and proteomic diversity in cancer, thereby enabling tumor adaptation to therapeutic pressure. However, two obstacle... read more 

Attention-Guided Deep Learning of Chemical Exchange Saturation Transfer Magnetic Resonance Imaging to Differentiate Between Tumor Progression and Radiation Necrosis in Brain Metastasis.

International journal of radiation oncology, biology, physics
PURPOSE: Stereotactic radiosurgery (SRS) is a standard treatment for brain metastases; however, it may lead to radiation necrosis (RN). RN can be virtually indistinguishable from tumor progression (TP), which can have significant clinical implication... read more 

Statin-Induced Decade-Long Stabilization of Noncalcified Coronary Plaque Despite a Zero Calcium Score.

JACC. Case reports
BACKGROUND: A 48-year-old man with a coronary artery calcium (CAC) score of 0 underwent serial artificial intelligence (AI)-assisted coronary computed tomography angiography (CCTA) from 2015 to 2026, which revealed progressive noncalcified plaque. FI... read more