Artificial Intelligence Medical Compendium

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

Showing 61 to 70 of 156,510 articles

Identification and validation of parthanatos-related genes in end-stage renal disease.

Renal failure
BACKGROUND: End-Stage Renal Disease (ESRD) is a severe chronic kidney disease with a rising global incidence, often accompanied by various complications, severely impacting patients' quality of life. Parthanatos plays a crucial role in the pathogenes...

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...

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...

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...

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 ...

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...

Strain-Sensitive Thermochromic Smart Electronic Skin for Joint and Spine Healthcare Applications.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Electronic skins (E-skins) that enable interactive and quantitative joint and spine healthcare hold transformative potential for personalized musculoskeletal rehabilitation. However, existing systems face three critical limitations: conventional stra...

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...

Biomimetic Analysis of Neurotransmitters for Disease Diagnosis through Light-Driven Nanozyme Sensor Array and Machine Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Neurological diseases, including Alzheimer's disease, Parkinson's disease, and multiple sclerosis, pose a significant global health challenge due to their complex pathogenesis and widespread prevalence. These disorders are often associated with disru...

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...