Artificial Intelligence Medical Compendium

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

Showing 44,831 to 44,840 of 224,055 articles

A Review on Automatic Personal Identification Using Panoramic Radiographs and Computed Tomography.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Identifying completely unknown individuals is a major challenge in forensic and emergency medicine. Radiology offers a promising solution by using unique anatomical features on medical images to identify both living and deceased persons. Although eme... read more 

Digital breast tomosynthesis and reading with artificial intelligence.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Digital breast tomosynthesis (DBT) increases sensitivity and specificity compared to digital mammography (DM) in the early detection of breast cancer. The potential of artificial intelligence (AI) for mammographic interpretation resulting in workload... read more 

AI Triage in Primary Care: Building Safer and More Equitable Real-World Evidence.

Journal of medical Internet research
Artificial intelligence triage in general practice is developing rapidly within the primary care digital transformation, promising efficiency gains and safety standardization in overwhelmed primary care systems. However, current evidence is drawn fro... read more 

Evaluating the Use of Generative AI Videos for Health Self-Management of Older Adults: Mixed Methods Study.

JMIR aging
BACKGROUND: Aging is a pressing global issue, and older adults need to build up their knowledge to manage their health. Insufficient self-efficacy and low acceptance of technology hinder their ability to use emerging technologies for self-management.... read more 

Comparison of Atheroma Burden Changes Using Conventional vs. End-Diastolic Intravascular Ultrasound Segmentation - Post Hoc Analysis of the PACMAN-AMI Study.

Circulation journal : official journal of the Japanese Circulation Society
BACKGROUND: This study compared changes in percentage atheroma volume (PAV) using an end-diastolic (ED) intravascular ultrasound (IVUS) segmentation approach vs. the conventional 1-mm interval analysis in serial IVUS data from the PACMAN-AMI trial. M... read more 

Common factors and unique pathways for linkages between HIV/STI prevention and syndemic behaviours in high-risk youth: protocol for a secondary analysis of harmonised data from six clinical trials.

BMJ open
INTRODUCTION: HIV/sexually transmitted infection (STI) prevention interventions are only modestly successful among youth, particularly for young people of colour and sexual and gender minority (SGM) youth. Even among disparate intervention modalities... read more 

Speech-to-Speech Voice-Cloning Care (SVCC) for improving ICU-acquired anxiety for critically ill patients in a tertiary hospital in Beijing, China: protocol of a randomised, controlled trial.

BMJ open
INTRODUCTION: Intensive care unit (ICU) visiting restrictions in hospitals, implemented due to infection control and other factors, limited contact between patients and family members, affecting patients' well-being and clinical outcomes. With the ev... read more 

Machine learning-based multiclass model for autoimmune disease diagnosis and classification through nailfold videocapillaroscopy features.

RMD open
OBJECTIVE: To develop and validate a predictive model for distinguishing controls (Ctr), rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) based on nailfold videocapillaroscopy (NVC) image features. METHODS: A total of 600 NVC images f... read more 

CTP-Free Method for Automated Lesion Water Uptake in Acute Ischemic Stroke.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: Net water uptake (NWU) in the infarct core of patients with ischemic stroke has been correlated with clinical outcome and lesion age, which could aid in treatment selection. Traditional NWU measurement requires CTP, limiting i... read more 

Machine Learning-Based Preoperative Predicting TERT Promoter Mutation and EGFR Gene Amplification Phenotype in IDH Wild-Type Glioblastoma Using Advanced MR Habitat Imaging.

AJNR. American journal of neuroradiology
BACKGROUND AND PURPOSE: The telomerase reverse transcriptase (TERT) gene promoter mutation is a crucial factor for identifying an isocitrate dehydrogenase (IDH) wild-type glioblastoma with poor prognosis, and the epidermal growth factor receptor (EGF... read more