Artificial Intelligence Medical Compendium

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

Showing 711 to 720 of 6,689 articles

Metabolic alterations driven by LDHA in CD8 + T cells promote immune evasion and therapy resistance in NSCLC.

Scientific reports Jul 8, 2025
Non-small cell lung cancer (NSCLC) is a leading cause of cancer-related deaths worldwide. Despite advancements in treatment, prognosis for patients with advanced stages remains poor. Metabolic reprogramming in the tumor microenvironment, particularly... read more 
Lactate Dehydrogenase 5 Lung Neoplasms CD8-Positive T-Lymphocytes Gene Expression Regulation, Neoplastic Carcinoma, Non-Small-Cell Lung Drug Resistance, Neoplasm Glycolysis Prognosis Humans L-Lactate Dehydrogenase Immune Evasion Tumor Microenvironment Tumor Escape

Integrated analysis of WGCNA and machine learning identified diagnostic biomarkers in trauma-induced coagulopathy.

Scientific reports Jul 8, 2025
Despite advancements in trauma care, uncontrolled hemorrhage and trauma-induced coagulopathy (TIC) remain the leading causes of preventable deaths after trauma. Understanding the genetic underpinnings and molecular mechanisms of TIC is crucial for de... read more 
Algorithms Female Biomarkers Humans Blood Coagulation Disorders Machine Learning Computational Biology Wounds and Injuries Gene Expression Profiling Male Gene Regulatory Networks

AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data.

Scientific reports Jul 8, 2025
Crack propagation in solder joints remains a major challenge impacting the thermo-mechanical reliability of electronic devices, underscoring the importance of optimizing package and solder pad designs. Traditional Finite Element Analysis (FEA) techni... read more 

Graph-based vision transformer with sparsity for training on small datasets from scratch.

Scientific reports Jul 8, 2025
Vision Transformers (ViTs) have achieved impressive results in large-scale image classification. However, when training from scratch on small datasets, there is still a significant performance gap between ViTs and Convolutional Neural Networks (CNNs)... read more 

Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data.

Scientific reports Jul 8, 2025
Keratoconus is a progressive eye disease characterized by the thinning and bulging of the cornea, leading to visual impairment. Early and accurate diagnosis is crucial for effective management and treatment. This study investigates the application of... read more 
Cornea Male Biomechanical Phenomena Keratoconus Corneal Topography Adolescent Reproducibility of Results Adult Young Adult Algorithms Female Machine Learning Humans Early Diagnosis

Active learning algorithm for alleviating the user cold start problem of recommender systems.

Scientific reports Jul 8, 2025
A key challenge in recommender systems is how to profile new users. A popular solution for this problem is to use active learning strategies. These strategies request ratings for a small set of carefully selected items to reveal the preferences of ne... read more 

A novel model for expanding horizons in sign Language recognition.

Scientific reports Jul 8, 2025
The American Sign Language Recognition Dataset is a pivotal resource for research in visual-gestural languages for American Sign Language and Sign-Language MNIST Dataset. The dataset contains over 64,000 images meticulously labeled with the correspon... read more 
Humans Gestures Sign Language Deep Learning Algorithms

Comparative analysis of reinforcement learning and artificial neural networks for inverter control in improving the performance of grid-connected photovoltaic systems.

Scientific reports Jul 8, 2025
This research aims to explore the potential applications of artificial intelligence (AI) methods, such as reinforcement learning (RL) and artificial neural networks (ANN), in controlling inverter systems and enhancing the performance of photovoltaic ... read more 

ResNet-based image processing approach for precise detection of cracks in photovoltaic panels.

Scientific reports Jul 8, 2025
Advancing renewable energy solutions requires efficient and durable solar Photovoltaic (PV) modules. A novel mechanism based on Deep Learning (DL) and Residual Network (ResNet) for accurate cracking detection using Electroluminescence (EL) images of ... read more 

Efficient pretraining of ECG scalogram images using masked autoencoders for cardiovascular disease diagnosis.

Scientific reports Jul 8, 2025
Cardiovascular diseases (CVDs) are the leading cause of mortality worldwide, emphasizing the need for accurate and early diagnosis. Electrocardiograms (ECG) provide a non-invasive means of diagnosing various cardiac conditions. However, traditional m... read more 
Autoencoder Signal Processing, Computer-Assisted Cardiovascular Diseases Humans Electrocardiography Algorithms Deep Learning
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