Artificial Intelligence Medical Compendium

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

Showing 71 to 80 of 156,510 articles

Deep learning driven prediction and comparative study of surrounding rock deformation in high speed railway tunnels.

Scientific reports
To tackle the challenge of discrete and complex monitoring data generated during high-speed rail tunnel construction, this study proposes a hybrid deep learning model for deformation forecasting. Using 300-hour continuous deformation records from mul...

A computational study of cardiac glycosides from Vernonia amygdalina as PI3K inhibitors for targeting HER2 positive breast cancer.

Journal of computer-aided molecular design
The PI3K/Akt pathway plays a crucial role in regulating a broad network of proteins involved in the proliferation of HER2-positive breast cancer. The ethyl acetate fraction of Vernonia amygdalina, which contains cardiac glycosides, has been shown to ...

Unveiling Quality of Life Factors for the Elderly: A Public Health Nursing Approach Enhanced by Advanced ML and DL Techniques.

Public health nursing (Boston, Mass.)
Community health nurses can enhance the elderly's quality of life (QoL) through personalized care, lifestyle counselling, and preventive measures. The primary objective of this study was to develop artificial intelligence (AI)-based prediction models...

Automated facial nerve identification in microsurgery with an improved unet.

Journal of robotic surgery
To develop a deep-learning model that improves the segmentation and detection of Facial Nerve in microsurgery, thereby increasing surgical precision and safety. We collected videos from 25 patients undergoing facial nerve decompression microsurgery. ...

Artificial Intelligence-Assisted Standard Plane Detection in Hip Ultrasound for Developmental Dysplasia of the Hip: A Novel Real-Time Deep Learning Approach.

Journal of orthopaedic research : official publication of the Orthopaedic Research Society
Developmental dysplasia of the hip (DDH) includes a range of conditions caused by inadequate hip joint development. Early diagnosis is essential to prevent long-term complications. Ultrasound, particularly the Graf method, is commonly used for DDH sc...

Automated fluid monitoring to optimize the follow-up of neovascular age-related macular degeneration patients in the Brazilian population.

International journal of retina and vitreous
OBJECTIVES: To investigate the efficacy of an artificial intelligence (AI)-based fluid monitoring tool in optimizing the monitoring of neovascular age-related macular degeneration (nAMD) patients in a Brazilian cohort.

A CT-Based Deep Learning Radiomics Nomogram for Early Recurrence Prediction in Pancreatic Cancer: A Multicenter Study.

Annals of surgical oncology
BACKGROUND: Early recurrence (ER) following curative-intent surgery remains a major obstacle to improving long-term outcomes in patients with pancreatic cancer (PC). The accurate preoperative prediction of ER could significantly aid clinical decision...

GCSA-ResNet: a deep neural network architecture for Malware detection.

Scientific reports
With the exponential growth in the quantity and complexity of malware, traditional detection methods face severe challenges. This paper proposes GCSA-ResNet, a novel deep learning model that significantly enhances malware detection performance by int...

Identification of Oxidative Stress-Related Markers for Chronic Atrophic Gastritis Using WGCNA and Machine Learning.

Digestive diseases and sciences
BACKGROUND: Western medical treatment and surgery are less effective in treating chronic atrophic gastritis, and there is no definitive treatment for chronic atrophic gastritis. Some studies suggest that oxidative stress regulation may play a role in...

The impact of China's artificial intelligence development on urban energy efficiency.

Scientific reports
Energy efficiency has become a central concern amidst shifting global economic conditions, intensifying climate variability, and geopolitical tensions that have fundamentally reshaped energy consumption and production patterns. Improving energy effic...