Artificial Intelligence Medical Compendium

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

Showing 50,441 to 50,450 of 224,814 articles

Late distant recurrence prediction model in premenopausal women with ER-positive/HER 2-negative breast cancer: A multicenter retrospective study.

Breast (Edinburgh, Scotland)
BACKGROUND: Late distant recurrence (DR) remains a significant challenge in estrogen receptor (ER)-positive/Human Epidermal Growth Factor Receptor 2 (HER2)-negative breast cancer, especially in premenopausal patients. This study aimed to develop a ma... read more 

Automated prescription of therapeutic exercise for shoulder impingement syndrome using literature-driven rule generation architecture.

Musculoskeletal science & practice
BACKGROUND: Shoulder impingement syndrome (SIS) is a common musculoskeletal disorder that requires individualized therapeutic exercise prescription. However, it is challenging to provide individualized prescriptions based on the latest evidence. OBJE... read more 

Class-balanced dermoscopic lesion segmentation using MoG-LISA and optimized Swin-UNet via the GM-FDE framework.

iScience
Automatic skin lesion segmentation is one of the key pivotal tasks in dermatological image processing, with important consequences in early melanoma diagnosis and treatment planning. Nevertheless, issues of extreme class imbalance, morphological vari... read more 

Interpretable prognostic modeling of glioblastoma using cross-cohort transcriptome integration and machine learning approaches.

Biochemical and biophysical research communications
Glioblastoma (GBM) is an aggressive brain tumor with highly variable patient outcomes due to pronounced molecular heterogeneity. Prognosis remains dismal (median survival ∼15 months) and current prognostic models often function as "black boxes," lack... read more 

Identification and experimental confirmation of TBC1D10C as a shared transcriptional link between abdominal aortic aneurysm and major depressive disorder.

Biochemical and biophysical research communications
BACKGROUND: Abdominal aortic aneurysm (AAA) and major depressive disorder (MDD) are prevalent conditions with substantial global health burdens. Growing clinical evidence indicates a close relationship between them, implicating shared pathogenic mech... read more 

50 Years of Automated Face Recognition.

IEEE transactions on pattern analysis and machine intelligence
Over the past five decades, automated face recognition (FR) has progressed from handcrafted geometric and statistical approaches to advanced deep learning architectures that now approach, and in many cases exceed, human performance. This paper traces... read more 

Adaptive Iterative Learning Reliable Control of Nonrepetitive Systems With Multiple Iteration-Varying Parametric Uncertainties.

IEEE transactions on cybernetics
The repetitiveness prerequisite of iterative learning control has always been the main obstacle to promoting its practical applications. In this article, a novel adaptive iterative learning reliable control scheme is proposed for the nonrepetitive sy... read more 

DeepGSR: Deep group-based sparse representation network for solving image inverse problems.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
In the past few years, group-based sparse representation (GSR) has emerged as a powerful paradigm for image inverse problems by synergizing model-driven interpretability with nonlocal self-similarity priors. Nevertheless, its practical utility is hin... read more 

A Scoping Review of Machine Learning Approaches for Predicting Lower Extremity Joint Contact Loads: Current Trends, Common Pitfalls and Future Directions.

IEEE transactions on bio-medical engineering
Human gait analysis quantifies locomotion and assesses gait performance, particularly for patients with musculoskeletal disorders. While instrumented 3D gait analysis is the gold standard, advancements in physics based musculoskeletal modeling offer ... read more 

Identification and validation of mitochondrial metabolism-ralated biomarkers in coronary heart disease.

Medicine
Coronary heart disease (CHD) affects life quality of patients by impaired coronary artery blood supply. We were planning to study the molecular mechanisms of mitochondrial metabolism-related genes (MMRGs) in CHD. The following data were sourced from ... read more