Artificial Intelligence Medical Compendium

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

Showing 3,601 to 3,610 of 168,679 articles

ToxAI_assistant: a web platform for a comprehensive study of the acute toxicity of xenobiotics following oral and intravenous administration in rats.

SAR and QSAR in environmental research
The existing QSAR approaches for mammalian acute toxicity have been limited in scope, often relying on small or narrowly focused datasets and on classification endpoints. In contrast, our work leverages a sufficiently large curated dataset (9843 rat ... read more 

From exencephaly to anencephaly: a catastrophic continuum of neural tube defects from embryogenesis to ultrasonographic diagnosis.

Journal of perinatal medicine
INTRODUCTION: Neural tube defects (NTDs) are severe congenital anomalies arising from incomplete closure of the neural tube during early embryogenesis. Among cranial NTDs, exencephaly, acrania, and anencephaly represent a progressive developmental co... read more 

Brain tumor segmentation by optimizing deep learning U-Net model.

Technology and health care : official journal of the European Society for Engineering and Medicine
BackgroundMagnetic Resonance Imaging (MRI) is a cornerstone in diagnosing brain tumors. However, the complex nature of these tumors makes accurate segmentation in MRI images a demanding task.ObjectiveAccurate brain tumor segmentation remains a critic... read more 

Toward Stable Zinc Anode: An AI-Assisted High-Throughput Screening of Electrolyte Additives for Aqueous Zinc-Ion Battery.

Angewandte Chemie (International ed. in English)
Currently, challenges such as zinc dendrites, hydrogen evolution reactions, and byproduct formation on the zinc anode damage the performance and cycling stability of aqueous zinc-ion batteries (AZIBs). Electrolyte additives, especially organic molecu... read more 

AI-driven framework for automated detection of kidney stones in CT images: integration of deep learning architectures and transformers.

Biomedical physics & engineering express
. Kidney stones, a prevalent urological condition, associated with acute pain requires prompt and precise diagnosis for optimal therapeutic intervention. While computed tomography (CT) imaging remains the definitive diagnostic modality, manual interp... read more 

A lightweight hybrid DL model for multi-class chest x-ray classification for pulmonary diseases.

Biomedical physics & engineering express
Pulmonary diseases have become one of the main reasons for people's health decline, impacting millions of people worldwide. Rapid advancement of deep learning has significantly impacted medical image analysis by improving diagnostic accuracy and effi... read more 

Machine learning enables legal risk assessment in internet healthcare using HIPAA data.

Scientific reports
This study explores how artificial intelligence technologies can enhance the regulatory capacity for legal risks in internet healthcare based on a machine learning (ML) analytical framework and utilizes data from the health insurance portability and ... read more 

Bioinformatics analysis of Rho-signal transduction genes in postmenopausal osteoporosis and periodontitis.

Scientific reports
Postmenopausal osteoporosis (PMOP) increases the risk of periodontitis (PD), yet the shared mechanisms remain unclear. Rho-signal transduction genes may play a role due to their involvement in bone remodeling. This study aimed to explore Rho-related ... read more 

Clinical correlates of errors in machine-learning diagnostic model of autism spectrum disorder: Impact of sample cohorts.

Autism : the international journal of research and practice
Machine-learning models can assist in diagnosing autism but have biases. We examines the correlates of misclassifications and how training data affect model generalizability. The Social Responsive Scale data were collected from two cohorts in Taiwan:... read more