AIMC Topic: Humans

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The role of artificial intelligence in early detection and intervention of coronary artery disease.

Current opinion in cardiology
PURPOSE OF REVIEW: The diagnosis and management of coronary artery disease (CAD) involves complex delivery of care. Artificial intelligence (AI) proves to be a timely solution to challenges with diagnostics and timely and appropriate, quality of care...

Colonoscopy in obese patients: challenges and emerging solutions.

Current opinion in gastroenterology
PURPOSE OF REVIEW: The rising prevalence of obesity, now affecting over 40% of U.S. adults, poses critical implications for colorectal cancer screening, as obesity increases the risk of both colorectal adenomas and cancer. Despite these elevated risk...

Advanced skin cancer prediction with medical image data using MobileNetV2 deep learning and optimized techniques.

Scientific reports
Skin cancer, especially melanoma, has become one of the most widespread and deadly diseases today. The chances of successful treatment are greatly reduced if the melanoma is not treated in its early stages because it could spread aggressively. Hence,...

Identification and validation of hub genes related to neutrophil extracellular traps-mediated cell damage and immune recruitment during abdominal aortic aneurysm.

Scientific reports
Previous research has shown that the formation of Neutrophil Extracellular Traps (NETs), mediated by neutrophils, leads to an increase in inflammatory cell response and cellular tissue damage during Abdominal Aortic Aneurysm (AAA). Building on this f...

Finerenone Modulates PANoptosis to Improve Immune Microenvironment in Diabetic Nephropathy: A Machine Learning-Based Mechanistic Analysis.

Journal of molecular neuroscience : MN
Diabetic nephropathy (DN) is characterized by nephron degeneration induced by hyperglycemia, driven by complex interactions between glucose metabolism dysregulation and immune microenvironment dynamics. This study employed machine learning and bioinf...

Exploring the clinical value of concept-based AI explanations in gastrointestinal disease detection.

Scientific reports
Complex artificial intelligence models, like deep neural networks, have shown exceptional capabilities to detect early-stage polyps and tumors in the gastrointestinal tract. These technologies are already beginning to assist gastroenterologists in th...

The analysis of interactive furniture design system based on artificial intelligence.

Scientific reports
To enhance user interaction experience in furniture customization, this study optimizes an Internet of Things (IoT)-driven Artificial Intelligence (AI)-assisted design system. First, the study analyzes human-computer interaction theories in IoT envir...

Machine learning-based proteomics profiling of ALS identifies downregulation of RPS29 that maintains protein homeostasis and STMN2 level.

Communications biology
Amyotrophic lateral sclerosis (ALS) is a devastating motor neuron disease. The molecular understanding of ALS is hampered by the lack of experimental models recapitulating disease heterogeneity and analytical framework integrating multi-omics dataset...

Network-based approach identifies key genes associated with tumor heterogeneity in HPV positive and negative head and neck cancer patients.

Scientific reports
Head and Neck Squamous Cell Carcinoma (HNSCC) is the seventh most prevalent cancer worldwide and is classified as human papillomavirus (HPV) positive or negative. Substantial heterogeneity has been observed in the two groups, posing a significant cli...

Longitudinal structural MRI-based deep learning and radiomics features for predicting Alzheimer's disease progression.

Alzheimer's research & therapy
BACKGROUND: Alzheimer's disease (AD) is the principal cause of dementia and requires the early diagnosis of people with mild cognitive impairment (MCI) who are at high risk of progressing. Early diagnosis is imperative for optimizing clinical managem...