Artificial Intelligence Medical Compendium

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

Showing 9,931 to 9,940 of 208,614 articles

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 

Using deep learning to identify brain networks mediating cognitive and motor impairments in alcohol use disorder.

Translational psychiatry
Alcohol Use Disorder (AUD), with a lifetime prevalence of 29.1% in the U.S., is associated with functional impairment affecting visuospatial working memory, executive functions, and motor control. The objective of this study was to distinguish people... read more 

From noisy labels to intrinsic structure: A geometric-structural dual-guided framework for noise-robust medical image segmentation.

Medical image analysis
The effectiveness of convolutional neural networks in medical image segmentation relies on large-scale, high-quality annotations, which are costly and time-consuming to obtain. Even expert-labeled datasets inevitably contain noise arising from subjec... read more 

Applying artificial intelligence and machine learning framework for de novo design of pyrazole-based VEGFR-2 inhibitors.

Journal of molecular graphics & modelling
VEGFR-2 is an important target for oncological interventions due to its key role in angiogenesis, a biological process vital for tumour expansion and metastasis. The targeted blockade of VEGFR-2 has emerged as a promising treatment approach across a ... read more