Artificial Intelligence Medical Compendium

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

Showing 68,111 to 68,120 of 233,231 articles

Patellofemoral pain is associated with complex gait deviations captured by an artificial intelligence-derived gait index.

Clinical biomechanics (Bristol, Avon)
BACKGROUND: Patellofemoral pain (PFP) in active women is associated with gait adaptations. The Movement Deviation Profile (MDP) summarises deviations in multi-segment kinematic deviation, but it is unclear how the magnitude of deviation relates to pa... read more 

Tumoroid-derived extracellular vesicles for prognosis and therapeutics: A valuable tool in precision medicine.

Pathology, research and practice
Precision medicine has transformed healthcare by tailoring treatment plans to an individual's genetic profile, in contrast to standardized therapies. Patient-derived tumoroids facilitate cancer research, while extracellular vesicles (EVs) provide ins... read more 

Automated interstitial lung abnormalities detection at CT: external validation and potential recognition of traction bronchiectasis/bronchiolectasis.

Japanese journal of radiology
PURPOSE: An artificial intelligence (AI) system for detecting interstitial lung abnormalities (ILA) was previously developed but requires external validation. This study aimed to examine the robustness across different populations and investigate ass... read more 

Toward AI-Powered Neurovascular Intervention: From Imaging to XR-Robotic Convergence.

Stroke
Stroke remains a leading cause of mortality and long-term disability worldwide, where rapid diagnosis and timely intervention are critical for improving outcomes. Neurovascular imaging modalities, including magnetic resonance angiography, computed to... read more 

Value of Multiomics Over Clinical Risk Factors in Hypertension Prediction.

Hypertension (Dallas, Tex. : 1979)
BACKGROUND: Several omics methods have been successfully used in hypertension prediction. However, the predictive ability of various multiomics data has not been compared in the same study sample, and it is unknown whether they provide additional pre... read more 

Clinical Phenotypes in Hypertension: A Data-Driven Approach to Risk Stratification.

Hypertension (Dallas, Tex. : 1979)
BACKGROUND: Hypertension is a major contributor to cardiovascular morbidity and mortality. Its heterogeneity complicates risk stratification. Unsupervised machine learning can uncover risk profiles and refine preventative strategies. This study appli... read more 

Current applications of artificial intelligence in assisted reproductive technologies.

Minerva obstetrics and gynecology
INTRODUCTION: Artificial intelligence (AI) is revolutionizing healthcare by enhancing diagnostics, optimizing treatment plans, and improving patient outcomes through data analysis and predictive modeling. Within the field of reproductive endocrinolog... read more 

Preoperative Identification of Lymph Node Metastasis in Colorectal Cancer Using Noninvasive Circulating Tumor DNA Methylation Signatures: Results From a Prospective Study.

Diseases of the colon and rectum
BACKGROUND: Lymph node metastasis is important for the management and surgical procedures of patients with colorectal cancer. Preoperative identification of D3 metastasis could help evaluate the necessity of D3 lymphadenectomy. No adequate noninvasiv... read more 

Cognitive training effects are shaped more by individual brain dynamics than age-evidence from younger and older women.

GeroScience
Given the well-established structural and functional changes in the aging brain, it is widely assumed that cognitive aging is primarily driven by robust group-level differences between young and older adults. However, our individual-level EEG functio... read more 

Mechanisms of Adeno-Associated Virus Serotype 9 Vector Characterization and Quality Control through Solid-State Nanopores.

ACS nano
Adeno-associated virus (AAV) vectors are excellent gene-delivery carriers in gene therapy; however, improperly packaged capsids produced during manufacturing can reduce potency and raise safety concerns. We introduce a machine-learning-assisted, low-... read more