Artificial Intelligence Medical Compendium

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

Showing 54,781 to 54,790 of 226,183 articles

SPD-Net: A semantic partitioned transformer with dynamic graph network for improved skeleton-based gait recognition.

Neural networks : the official journal of the International Neural Network Society
Gait recognition has gained prominence as a biometric modality owing to its unobtrusive and non-invasive nature. Existing methods primarily rely on silhouette-based representations, making them sensitive to variations in clothing, occlusion, and back... read more 

Slot-BERT: Self-supervised object discovery in surgical video.

Medical image analysis
Object-centric slot attention is a powerful framework for unsupervised learning of structured and explainable representations that can support reasoning about objects and actions, including in surgical video. However, current object-centric models ei... read more 

Pathophysiological mechanisms of fatigue and multidisciplinary management strategies (Review).

Experimental and therapeutic medicine
Fatigue is a common clinical symptom, and its complex pathophysiological mechanisms markedly affect the quality of life and social function of patients. With the advancement of omics technologies and artificial intelligence applications, the ability ... read more 

Pilot clinical evaluation of artificial intelligence-driven guiding catheter simulation for optimizing percutaneous coronary intervention.

European heart journal. Digital health
AIMS: In percutaneous coronary intervention (PCI), a suboptimal choice of guiding catheter may compromise coaxial alignment and backup support, prolonging procedures and increasing radiation and contrast exposure. We assessed whether a computed tomog... read more 

Management of complex renal stones in horseshoe kidney using real-time intrarenal pressure monitoring with artificial intelligence in retrograde intrarenal surgery: A case report.

Urology case reports
Retrograde intrarenal surgery (RIRS) in horseshoe kidneys is technically challenging due to altered anatomy and unstable intrarenal pressure (IRP). We report a case of a 45-year-old male with complex renal stones in a horseshoe kidney managed using a... read more 

Applying a statistical model-based AI method to identify prognostic factors for long-term cognitive decline in Alzheimer's disease: Evidence from pooled placebo data of four phase III trials.

International journal of medical informatics
BACKGROUND: Heterogeneity in the long-term progression of Alzheimer's disease (AD) challenges the efficiency of clinical trials. Identifying long-term prognostic factors is critical for enhancing trial efficiency, although it has been limited by the ... read more 

Gender-related facilitators and barriers to participation in research on aging using fuzzy cognitive mapping.

Neurobiology of aging
In the context of cognitive neuroscience research on aging, older women are often overrepresented in observational research, whereas men are overrepresented in clinical trials. Factors underlying the selection bias between and across genders in resea... read more 

Association between red cell distribution width-albumin ratio and osteoarthritis in middle-aged and older adults: Analysis of NHANES data (1999-2018).

Journal of orthopaedics
OBJECTIVE: This study aimed to investigate the association between the Red blood cell distribution width-to-albumin ratio (RAR) and osteoarthritis (OA) in middle-aged and elderly populations, and to assess its potential value as a predictive indicato... read more 

Foundation model cascades enable zero-shot microscopy image analysis for cell therapy manufacturing.

Cytotherapy
BACKGROUND AIMS: The scalable manufacturing of cell therapies creates a significant need for robust process analytical technologies, where automated analysis of noninvasive microscopy images offers a powerful method for monitoring critical quality at... read more 

Comparison of bulk flow measurements in the large vessels between four-dimensional flow (4D-flow) and two-dimensional phase contrast (2D-PC) magnetic resonance imaging (MRI).

Clinical radiology
AIM: The clinical integration of four-dimensional flow magnetic resonance imaging (4D-flow MRI) for cardiovascular assessment remains a challenge due to the expertise and resources required for analysis, and there is no large-scale systematic validat... read more