Artificial Intelligence Medical Compendium

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

Showing 11,281 to 11,290 of 209,934 articles

Integrative analysis and experimental validation of dioxin-interacting genes reveal diagnostic and prognostic biomarkers in lung adenocarcinoma.

Clinical and experimental medicine
Dioxins are persistent environmental pollutants and key components of the human exposome with established carcinogenic potential. As airborne toxicants, they link environmental pollution to lung adenocarcinoma (LUAD), yet their molecular mechanisms r... read more 

Study on the influence of urban park landscape space structure on boundary soundscape characteristics.

Environmental monitoring and assessment
This study focuses on the soundscape and spatial structure of urban parks. Four representative parks in Fuzhou City were selected as case studies. Data was collected through a combination of questionnaire surveys, sound level measurements, and on-sit... read more 

Enterotype-specific microbial biomarkers of immune checkpoint inhibitor response revealed by large-scale integrated metagenomic analysis.

Cancer immunology, immunotherapy : CII
The gut microbiota appears to play a critical role in modulating antitumor immune responses and influencing the efficacy of cancer immunotherapy drugs such as immune checkpoint inhibitors. However, the identification of consistent microbial biomarker... read more 

Local control and dose selection for lung cancer brain metastases treated with radiosurgery: an artificial intelligence model.

Clinical & experimental metastasis
Clinical and radiological outcomes after Stereotactic radiosurgery (SRS) for lung cancer brain metastases are heterogeneous, and prescription dose selection is often guided by experience rather than individual patient and tumor specific features. A d... read more 

Cancer immunotherapy: mechanisms, clinical applications, resistance and future directions.

Molecular biology reports
Cancer immunotherapy has revolutionised oncology by utilising immune-mediated mechanisms to achieve durable anti-tumour responses and long-term clinical benefits. Unlike traditional cytotoxic therapies, immunotherapeutic approaches modulate host-tumo... read more 

Beyond the Coronaries: Utility of Extra-Coronary Calcification for Cardiovascular Risk Assessment in Women.

Current atherosclerosis reports
PURPOSE OF REVIEW: Globally, cardiovascular disease (CVD) is the leading cause of mortality in women. Traditional risk calculators underestimate atherosclerotic cardiovascular disease risk (ASCVD), particularly in women classified as low or intermedi... read more 

EasyVis2: a real-time multi-view 3D visualization system for laparoscopic surgery training enhanced by a deep neural network YOLOv8-pose.

Updates in surgery
Minimally invasive laparoscopic surgery often suffers from limited depth perception and constrained visual fields. To address these limitations, we introduce EasyVis2, an enhanced hands-free, real-time 3D visualization system based on the previous Ea... read more 

Integrative advances in biomarker-driven prostate cancer management from genomic discovery to precision oncology.

Discover oncology
Prostate cancer (PCa) is the second most common malignancy in men worldwide, with rising mortality linked to late-stage diagnoses. While current diagnostic strategies rely heavily on biomarker detection, their limitations highlight the need for compr... read more 

Semi-automatic individual tooth segmentation from CBCT images using anatomy-guided deep neural networks and watershed transform.

Medical & biological engineering & computing
Individual tooth segmentation in cone beam computed tomography (CBCT) scan plays a crucial role in quantitatively analyzing oral diseases. However, the existing full-automatic methods exhibit limited accuracy and robustness due to the complex noise a... read more 

FA-SedLoRA: scene-driven fine-tuning and style disentanglement for domain-generalized cardiac MRI segmentation.

Medical & biological engineering & computing
The advent of deep learning has significantly advanced the state of the art in cardiac magnetic resonance (CMR) image segmentation. However, most models remain task-specific, which hinders the development and validation of approaches generalizable ac... read more