Artificial Intelligence Medical Compendium

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

Showing 34,581 to 34,590 of 221,633 articles

Lung cancer segmentation Using the Att-U-Net Model on PET-CT Images.

Radiography (London, England : 1995)
INTRODUCTION: Lung cancer is the leading cause of cancer-related deaths worldwide, emphasizing the need for early and accurate diagnosis. Precise segmentation of lung regions and tumors in imaging is critical for effective diagnosis and treatment. Th... read more 

Quantifying airborne vessel noise on large rivers: A novel approach combining acoustic drifters and machine learning.

Environmental pollution (Barking, Essex : 1987)
Vessel noise in large rivers poses a growing threat to riparian ecosystems and human communities, yet its large-scale airborne distribution remains poorly monitored. This study introduces an innovative framework combining mobile observations with mac... read more 

Integrating Multi-Omics and Artificial Intelligence for Personalized Breast Cancer Management: A Guide to Clinicians.

Cancer letters
Breast cancer's (BC) diverse nature and global impact demand tailored clinical strategies. Conventional screening methods often fall short in early detection and individualized risk assessment. By merging multi-omics technologies such as genomics, tr... read more 

Preoperative functional connectivity patterns predict tremor relief following MRgFUS thalamotomy in essential tremor: A machine learning investigation.

Neurobiology of disease
BACKGROUND: Magnetic resonance-guided focused ultrasound (MRgFUS) thalamotomy made a breakthrough in treating essential tremor (ET), but with variable tremor responses. This study employed support vector machine regression (SVR) to predict tremor res... read more 

Implementing drug data exclusivity in China: A comparative analysis with global practices.

Drug discovery today
This article provides a comprehensive overview and comparative analysis of China's forthcoming drug data exclusivity system, contextualizing it within global frameworks. It presents the current data exclusivity regimes of the United States, Canada, t... read more 

Bipolar disorder relapse detection and prediction using smartwatches. A pilot study for machine learning models using anomaly detection methods.

Journal of affective disorders
BACKGROUND: Bipolar disorder (BD) is a chronic mental illness with recurrent mood episodes, with up to 70% of patients relapsing within two years. Early detection of prodromal symptoms is critical for timely intervention but remains challenging. Wear... read more 

High-Throughput Image-Based Pupal Sex Classification in Aedes aegypti Using Convolutional Neural Network Models for Sterile Insect Technique Applications.

Acta tropica
Aedes aegypti, the primary vector of dengue, yellow fever, Zika, and chikungunya, poses serious public health threats, especially in tropical regions. With limited vaccine availability, innovative control strategies like the Sterile Insect Technique ... read more 

Artificial Intelligence-assisted Mining of Polyethylene Terephthalate Hydrolases.

New biotechnology
Polyethylene terephthalate (PET) hydrolases efficiently hydrolyze the ester bonds in PET, converting it into valuable monomers or oligomers, offering a sustainable biological solution to global PET plastic pollution. However, the large-scale developm... read more