Artificial Intelligence Medical Compendium

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

Showing 42,361 to 42,370 of 223,853 articles

24-hour physical activity, sedentary behaviour and sleep profiles in individuals with cancer: a UK Biobank cohort study.

Journal of epidemiology and community health Mar 12, 2026
BACKGROUND: Behaviours across a 24-hour day, including physical activity, sedentary time and sleep, are disrupted following cancer and contribute to cancer-related outcomes. This study describes the day-to-day 24-hour behaviour profiles of individual... read more 

Farming Becomes More Precarious With Age: Injury in Maine Agricultural Communities, 2008-2022, via Time Series Analysis.

American journal of industrial medicine Mar 12, 2026
BACKGROUND: Fatal occupational injury rates among agricultural workers are within the top 10 most dangerous civilian jobs. However, tracking and documenting non-fatal agricultural injuries in Maine, as in other states, has proved challenging. In 2021... read more 

Multiclass Radiomics-Based Prediction of BRAF Mutation Status in Pediatric Low-Grade Gliomas Using Multisequence MRI.

AJNR. American journal of neuroradiology Mar 12, 2026
BACKGROUND AND PURPOSE: Pediatric low-grade gliomas (pLGGs) are the most common brain tumors in children and frequently harbor BRAF alterations, most commonly KIAA1549-BRAF fusions and BRAF V600E mutations, which have distinct therapeutic implication... read more 

Bridging genotype, phenotype, and clinical insight: the role of multi-omics in cardiovascular disease.

Expert review of proteomics Mar 12, 2026
INTRODUCTION: It is increasingly evident that the multifactorial nature of cardiovascular disease requires the combination of different omics approaches for improving our mechanistic understanding, identifying novel drug targets, and developing accur... read more 

[Expert consensus on the clinical application of robotic-assisted bronchoscopy].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases Mar 12, 2026
Robotic-assisted bronchoscopy (RAB) is an emerging diagnostic and interventional technology which integrates thin-slice CT-based virtual airway reconstruction, precise navigation, and stable robotic manipulation.It has been shown to offer clear advan... read more 

[Annual progress in critical care of pulmonary medicine 2025].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases Mar 12, 2026
This review systematically summarizes the annual research advances in the field of critical care of pulmonary, with a focus on pulmonary and critical care medicine (PCCM) worldwide from October 2024 to September 2025. This review focuses on severe pu... read more 

[Annual progress of interventional pulmonology in 2025].

Zhonghua jie he he hu xi za zhi = Zhonghua jiehe he huxi zazhi = Chinese journal of tuberculosis and respiratory diseases Mar 12, 2026
In 2025, interventional pulmonology continues to progress rapidly through technological innovation and multidisciplinary integration, playing an increasingly prominent role in the diagnosis and management of respiratory diseases. Significant developm... read more 

Artificial intelligence assisted multi-model pathological diagnosis of breast cancer based on multispectral autofluorescence images.

NPJ breast cancer Mar 12, 2026
Virtual staining technology offers a promising solution to overcome the time-consuming and sample-consumption nature of conventional histochemical staining in breast cancer pathology. This study presents a novel framework integrating multispectral au... read more 

Machine learning-driven design of engineered cilia enables hybrid operations in acoustic microrobots.

Nature communications Mar 12, 2026
Microrobotic systems offer significant potential for precision medicine by enabling minimally invasive interventions in complex fluidic environments. However, effective operation in these settings requires actuators capable of more than simple linear... read more 

DIVE: A Multi-Label Smart Contract Vulnerability Dataset.

Scientific data Mar 12, 2026
Smart Contract (SC) vulnerabilities are programming errors or design flaws that can lead to financial loss or functional failure, making accurate detection essential. Although Machine Learning (ML) is widely applied to SC vulnerability detection, exi... read more 
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