Artificial Intelligence Medical Compendium

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

Showing 22,071 to 22,080 of 216,627 articles

Neural and Behavioral Dynamics of (Mis)alignment with AI versus Humans in Risky Decision Revision.

Social cognitive and affective neuroscience
Artificial intelligence (AI) is increasingly used as social information in risky decision-making, yet little is known about how AI, versus humans, shapes decision revision at the neural level. We combined behavioral measures and event-related potenti... read more 

The application of Artificial Intelligence in the ultrasound-based diagnosis of liver disease: current status, hurdles, and prospects.

Ultraschall in der Medizin (Stuttgart, Germany : 1980)
Over the past decade, there has been marked progress in artificial intelligence (AI) and its application in medicine. In the field of hepatology, AI can aid in predicting disease risk and prognosis, optimizing patient care through improvements in dia... read more 

Development and Clinical Validation of an Automated Artificial Intelligence System for Bowel Wall Thickness Assessment in Adult Inflammatory Bowel Diseases.

Ultraschall in der Medizin (Stuttgart, Germany : 1980)
PURPOSE: Intestinal ultrasound (IUS) is used to assess and monitor inflammatory bowel disease (IBD). Bowel wall thickness (BWT) is its key marker, but accurate measurement is operator-dependent and requires expertise. Artificial intelligence (AI) may... read more 

Artificial intelligence in cancer diagnostics: a primer for clinicians and scientists.

Journal of the National Cancer Institute
Artificial Intelligence (AI) is rapidly transforming cancer care by enabling healthcare teams to make more accurate diagnoses, predict responses to therapy, improve outcomes, and deliver truly personalized treatment. As AI-based tools become increasi... read more 

Entangled pedagogy and the entrustment of generative artificial intelligence: a trainee perspective.

Academic medicine : journal of the Association of American Medical Colleges
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Metabolomics and Artificial Intelligence (AI) assisted metabolomics in the diagnosis of non-tuberculous mycobacterial infections: progress and challenges.

New microbes and new infections
BACKGROUND: Non tuberculous mycobacterial (NTM) infections are caused in individuals who are immunocompromised or with certain lung conditions. The NTM disease in the lungs, also referred to as NTM-pulmonary disease (NTM-PD), can lead to nodular bron... read more 

Identifying best practices for RTTs and dosimetrists: a Delphi consensus study on standardizing workflows in proton therapy.

Technical innovations & patient support in radiation oncology
BACKGROUND AND PURPOSE: A recent scoping review identified gaps in proton therapy (PT) guidelines, especially in fields of expertise of radiation therapists (RTTs) and dosimetrists. This study aimed to reach consensus on best practices within seven w... read more 

Plasma proteomic profiles reveal proteins and characteristic patterns associated with hypertension: A prospective cohort study.

Journal of hypertension
BACKGROUND: Longitudinal proteomic studies on hypertension remain scarce. We evaluated the epidemiological associations of circulating proteins with hypertension on the basis of the UK Biobank (UKB) and public GWAS-summary data in this study. METHODS... read more 

Integrating multi-omics analysis and machine learning to refine molecular subtypes and prognostic assessment of lower-grade glioma.

Molecular therapy. Oncology
Lower-grade glioma (LGG) is a highly heterogeneous disease, making accurate prognosis prediction and the development of precise, personalized treatment plans for patients challenging. The multi-omics data from patients with LGG were analyzed using 10... read more 

Critical appraisal of the "ASHP Statement on the Use of Artificial Intelligence in Pharmacy".

American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists
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