Artificial Intelligence Medical Compendium

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

Showing 1,681 to 1,690 of 6,954 articles

Assessing the performance of domain-specific models for plant leaf disease classification: a comprehensive benchmark of transfer-learning on open datasets.

Scientific reports May 30, 2025
Agriculture and its yields are indispensable to human life all over the planet. It is an essential part of many countries' economies and without it the world's population can not be fed. As such, guaranteeing harvest with minimal loss is a primary ob... read more 
Neural Networks, Computer Deep Learning Plant Leaves Crops, Agricultural Plant Diseases

Evaluating performance of large language models for atrial fibrillation management using different prompting strategies and languages.

Scientific reports May 30, 2025
This study evaluated large language models (LLMs) using 30 questions, each derived from a recommendation in the 2024 European Society of Cardiology (ESC) guidelines for atrial fibrillation (AF) management. These recommendations were stratified by cla... read more 
Humans Language Reproducibility of Results Atrial Fibrillation Practice Guidelines as Topic Large Language Models

Disulfide bond-related gene signature development for bladder cancer prognosis prediction and immune microenvironment characterization.

Scientific reports May 29, 2025
Bladder cancer is the fourth most common malignant tumor in men, with limited therapeutic biomarkers and heterogeneous responses to immunotherapy. Disulfide bond-driven cell death has emerged as a critical regulator of tumor progression and immune mi... read more 
Humans Prognosis Female Tumor Microenvironment Biomarkers, Tumor Male Gene Expression Profiling Transcriptome Cell Line, Tumor Single-Cell Analysis Immunotherapy Gene Expression Regulation, Neoplastic Urinary Bladder Neoplasms Disulfides

Trainable embedding quantum physics informed neural networks for solving nonlinear PDEs.

Scientific reports May 29, 2025
This paper proposes a novel approach for solving nonlinear partial differential equations (PDEs) with a quantum computer, the trainable embedding quantum physics informed neural network (TE-QPINN). We combine quantum machine learning (QML) with physi... read more 

Adaptive neuro fuzzy inference system based multicrop yield prediction in the semi arid region of India.

Scientific reports May 29, 2025
India, with a population of 1.43 billion, is the most populous country in the world, necessitating more significant food production. To ensure this food production, the country's farmers must focus on high-yielding and draught-tolerant varieties of t... read more 

Research on early warning model of coal spontaneous combustion based on interpretability.

Scientific reports May 29, 2025
Predicting the temperature of the coal spontaneous combustion (CSC) is essential for preventing and managing coal mine fires. In this paper, a Rough Set-Stacking-SHapley Additive Explanations (RS-Stacking-SHAP) prediction model of CSC based on grid s... read more 

Evaluation of machine learning and deep learning algorithms for fire prediction in Southeast Asia.

Scientific reports May 29, 2025
Vegetation fires are most common in Southeast Asian (SEA) countries, causing biodiversity loss, habitat destruction, and air pollution. Accurately predicting fire occurrences in SEA remains challenging due to its complex spatiotemporal dynamics. Impr... read more 

Using physics-informed derivative networks to solve the forward problem of a free-convective boundary layer problem.

Scientific reports May 29, 2025
Physics-informed neural networks (PINNs) have become powerful tools for solving various nonlinear differential equations. Although several PINN-based approaches have been widely applied to some types of boundary layer problem, certain complex paramet... read more 

Gaussian random fields as an abstract representation of patient metadata for multimodal medical image segmentation.

Scientific reports May 29, 2025
Growing rates of chronic wound occurrence, especially in patients with diabetes, has become a recent concerning trend. Chronic wounds are difficult and costly to treat, and have become a serious burden on health care systems worldwide. Innovative dee... read more 
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Diabetic Foot Metadata Normal Distribution

Relapse prediction using wearable data through convolutional autoencoders and clustering for patients with psychotic disorders.

Scientific reports May 29, 2025
Relapse of psychotic disorders occurs commonly even after appropriate treatment. Digital phenotyping becomes essential to achieve remote monitoring for mental conditions. We applied a personalized approach using neural-network-based anomaly detection... read more 
Humans Neural Networks, Computer Female Adult Male Middle Aged Wearable Electronic Devices Cluster Analysis Psychotic Disorders Recurrence Autoencoder
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