Artificial Intelligence Medical Compendium

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

Showing 46,421 to 46,430 of 224,055 articles

Accuracy and efficiency of using artificial intelligence for data extraction in systematic reviews. A noninferiority study within reviews

medRxiv
Background: Systematic reviews are important for informing public health policies and program selection; however, they are time- and resource-intensive. Artificial intelligence (AI) offers a solution to reduce these labour-intensive requirements for ... read more 

Segmentation of metabolically relevant adipose tissue compartments and ectopic fat deposits

medRxiv
Chemical shift-encoded magnetic resonance imaging using high-resolved 3D Dixon techniques enables the non-invasive and radiation-free assessment of whole-body adipose tissue and ectopic fat distribution. Automatic deep learning-based segmentation of ... read more 

Parkinson's Disease motor and non-motor progression models emerge from pathway-level transcriptomics

medRxiv
Background Prognosis and therapeutic management in Parkinson's disease is a challenging task by its highly heterogeneous disease progression and symptoms presentation, lacking biomarkers to predict individual disease trajectories. Objective To determ... read more 

Interpretable machine-learning model for cataract associated factors identifying in patients with high myopia

medRxiv
Purpose: To systematically evaluate ocular biometric and systemic laboratory factors associated with cataract in highly myopic eyes and to characterize potential nonlinear associations using an interpretable machine learning approach. Methods: This c... read more 

Development of a Multi-Trait Polygenic Score for Intrinsic Capacity

medRxiv
Background: Intrinsic capacity (IC) is a key marker of healthy ageing, which captures an individuals physical and mental capacities, measured across five domains: cognitive, locomotor, psychological, vitality, and sensory. Although genetic factors ar... read more 

Clinical Evaluation of a Digital Biomarker for Joint Swelling in Inflammatory Arthritis based on Automated Quantification of Dorsal Finger Fold Patterns

medRxiv
Objective: To clinically evaluate a digital biomarker, the Finger Fold Index (FFI), derived from the ratio of joint diameter to finger fold surface area in hand photographs, for assessing joint swelling in inflammatory arthritis. Methods: Smartphone ... read more 

Automated Segmentation of Post-Surgical Resection Cavities on MRI in Focal Epilepsy: a MELD Study

medRxiv
Objective Quantitative assessment of extent of tissue resection following epilepsy surgery requires accurate delineation of the resection cavity on postoperative MRI. Current methods for resection cavity masking are time-consuming and labour-intensiv... read more 

Transcriptome-based high-frequency recurrence index predicts frequent recurrence in non-muscle-invasive bladder cancer after Bacillus Calmette-Guérin therapy.

BMC medicine
BACKGROUND: High-frequency recurrence (HfR, ≥ 2 recurrences) in non-muscle-invasive bladder cancer (NMIBC) poses a significant clinical burden. Current risk models, such as the European Organization for Research and Treatment of Cancer (EORTC), the E... read more