Artificial Intelligence Medical Compendium

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

Showing 10,941 to 10,950 of 209,601 articles

Cultural bias in large language models' ability to follow neuroradiology guidelines.

European radiology
OBJECTIVES: Large language models (LLMs) are increasingly explored as decision-support tools in medical imaging. However, their ability to align with country-specific guidelines, which often diverge, remains uncertain. We set out to evaluate the geog... read more 

Beyond target lesions: Prognostic value of longitudinal AI-derived whole-body [1⁸F]FDG PET/CT metrics in metastatic melanoma.

European journal of nuclear medicine and molecular imaging
PURPOSE: To investigate the prognostic value of an artificial intelligence (AI)-based semi-automated tool for longitudinal whole-body quantification of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) on [1⁸F]FDG PET/CT in patien... read more 

Can machine learning predict vessels that encapsulates tumor cluster ptterns and histological differentiation in solitary small (< 5 cm) hepatocellular carcinoma?

Surgery today
Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality. Machine learning (ML) may enable the noninvasive prediction of histopathological features using clinical and imaging data. This study evaluated the utility of ML in predic... read more 

'Man vs. Machine: can ML algorithms diagnose headaches as accurately as clinicians? A systematic review.'.

Journal of neurology
BACKGROUND: Headache disorders are frequently misdiagnosed. We aimed to systematically evaluate the diagnostic accuracy, methodological quality, and clinical applicability of artificial intelligence (AI) and machine learning (ML) models for classifyi... read more 

Integrating single-cell analysis and digital pathology for risk stratification in pancreatic cancer.

Clinical & experimental metastasis
Early liver metastasis is a major factor contributing to the poor prognosis of pancreatic ductal adenocarcinoma (PDAC). Single-cell RNA sequencing (scRNA-seq) can analyze the heterogeneity between the primary tumor and metastatic lesions, but its wid... read more 

Identification of prognostic biomarkers in a large cohort of patients with LGMD R2.

Journal of neurology
BACKGROUND: Limb-girdle muscular dystrophy R2-dysferlin related (LGMD-R2) is a progressive muscle condition with marked variability in disease course, making prognosis challenging. Quantitative MRI (qMRI) has emerged as a complementary tool that may ... read more 

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