Artificial Intelligence Medical Compendium

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

Showing 12,391 to 12,400 of 210,314 articles

Compression of 2D+t cine-MRI data and its impact on AI-based target tracking in MRIgRT.

Biomedical physics & engineering express
Magnetic resonance imaging-guided radiotherapy (MRIgRT) uses 2D+t cine-MRI to track intra-fractional motion with high spatial and temporal resolution. Growing usage and acquisition rates require efficient storage and transfer, especially for large-sc... read more 

LOINC-Related Clinical Terminology Management in an Academic Medical Center Using Human in the Loop Machine Learning.

Applied clinical informatics
OBJECTIVE: Many institutions have reported poor mapping of laboratory results to Logical Observation Identifiers Names and Codes (LOINC). A human in the loop machine learning approach for clinical terminology management may help. METHODS: Since 2002 ... read more 

Beyond the digital health tsunami: reaffirming biomedical and health informatics as the scientific foundation of digital healthcare transformation.

BMJ health & care informatics
Digital health (DH) has emerged as the dominant terminology for technology-enabled healthcare, reshaping institutional discourse, educational programmes and policy agendas. DH is often portrayed as a novel discipline that could supersede Biomedical a... read more 

Rising prevalence of drone attacks in warfare and terrorism and the implications for medical management of major incidents.

BMJ military health
As drone technology advances, the likelihood of their use in terrorism increases. The emergence of artificial intelligence-controlled drone swarms and ability to carry alternative payloads poses significant challenges and risks to civilians and emerg... read more 

Predicting intracranial angioplasty failure using vessel wall MRI habitat radiomics and deep learning: a multicenter study.

Journal of neurointerventional surgery
BACKGROUND: Primary balloon angioplasty (PBA) is a promising strategy for symptomatic intracranial atherosclerotic stenosis but carries the risk of procedural failure due to dissection or elastic recoil. Accurate preoperative risk stratification rema... read more 

AI assisted detection of large vessel occlusion on non-contrast CT: multinational validation and reader study.

Journal of neurointerventional surgery
OBJECTIVE: Early detection of large vessel occlusion (LVO) on non-contrast CT (NCCT) could accelerate stroke triage, but NCCT based artificial intelligence (AI) algorithms lack multinational validation and evidence of impact on clinician performance.... read more 

Estimated glucose disposal rate and triglyceride-glucose index jointly predict mortality in advanced cardiovascular-kidney-metabolic syndrome.

Obesity research & clinical practice
OBJECTIVE: Advanced cardiovascular-kidney-metabolic (CKM) syndrome carries substantial mortality risk, yet the independent and joint prognostic roles of insulin resistance-related markers-estimated glucose disposal rate (eGDR) and triglyceride-glucos... read more 

Postoperative computed tomography segmentation with artificial intelligence for a closed-loop workflow in computer-assisted jaw reconstruction.

International journal of oral and maxillofacial surgery
Postoperative computed tomography (CT) segmentation provides invaluable information for reconstruction verification, follow-up treatment, education, and patient communication, while it remains the most challenging task due to gross anatomical variati... read more 

Preoperative Risk Assessment of Adrenal Metastases in a Multicenter Study: Development of a Robust Federated Learning Model.

Academic radiology
RATIONALE AND OBJECTIVES: In clinical practice, the preoperative risk assessment of adrenal metastases versus benign adrenal lesions carries a substantial risk of misdiagnosis. The artificial intelligence technology holds promise for reducing misdiag... read more