Artificial Intelligence Medical Compendium

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

Showing 71,771 to 71,780 of 234,892 articles

AI-generated dermatologic images: A call for clinical accuracy and inclusive design.

Journal of the European Academy of Dermatology and Venereology : JEADV
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Deep Learning for Automatic Segmentation of Pituitary Adenomas: A Videomics Study.

Operative neurosurgery (Hagerstown, Md.)
BACKGROUND AND OBJECTIVES: Videomics, which integrates video-endoscopy and artificial intelligence, presents significant potential for real-time surgical analysis. Accurate intraoperative segmentation of pituitary adenomas (PAs) is crucial in endosco... read more 

A deep learning-enabled toolkit for the 3D segmentation of ventricular cardiomyocytes.

The Journal of physiology
Segmentation of cardiomyocytes in microscopic 3D volumes is key to our understanding of cardiac (patho-)physiology; however, it poses substantial experimental and analytical challenges. Therefore, researchers often resort to inferring 3D information ... read more 

Validation of novel low-dose CT methods for quantifying bone marrow in the appendicular skeleton of patients with multiple myeloma: initial results from the [18F]FDG PET/CT sub-study of the Phase 3 GMMG-HD7 Trial.

European journal of nuclear medicine and molecular imaging
PURPOSE: The clinical significance of medullary abnormalities in the appendicular skeleton detected by computed tomography (CT) in patients with multiple myeloma (MM) remains incompletely elucidated. This study aims to validate novel low-dose CT-base... read more 

Intelligent extraction of CT image landmarks for improving cam-type femoroacetabular impingement assessment.

European radiology
OBJECTIVES: Femoroacetabular impingement (FAI) with cam-type morphology is a common hip disorder that can result in groin pain and eventually osteoarthritis. The pre-operative assessment is based on parameters obtained from x-ray or computed tomograp... read more 

Regulating AI in Nursing and Healthcare: Ensuring Safety, Equity, and Accessibility in the Era of Federal Innovation Policy.

Policy, politics & nursing practice
The rapid integration of artificial intelligence in healthcare, accelerated by the Trump administration's 2025 AI Action Plan and private sector innovations from companies like Nvidia and Hippocratic AI, poses urgent challenges for nursing and health... read more 

Probiotics, psychobiotics, and postbiotics: a therapeutic modality for the management of schizophrenia.

Nutritional neuroscience
Schizophrenia is a debilitating, chronic neuropsychiatric disorder, a multifactorial disorder combining genetic, neurodevelopmental, immunological, and environmental factors. Common antipsychotic treatments may be effective against positive symptoms,... read more 

Harnessing deep statistical potential for biophysical scoring of protein-peptide interactions.

Acta pharmacologica Sinica
Protein-peptide interactions (PpIs) play a critical role in major cellular processes. Recently, a number of machine learning (ML)-based methods have been developed to predict PpIs, but most of them rely heavily on sequence data, limiting their abilit... read more 

Multimodal, device-based therapeutic targeting of the cardiovascular autonomic nervous system.

Nature reviews. Cardiology
The miniaturization of implantable sensors and actuators, combined with advances in interactive modelling and high-resolution imaging, is propelling the use of medical devices for counteracting impaired neural control of the cardiovascular system. In... read more