Artificial Intelligence Medical Compendium

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

Showing 3,611 to 3,620 of 168,679 articles

Considerations for Videourodynamics and How it Impacts Practice.

Neurourology and urodynamics
AIMS: Provide urologists with a comprehensive understanding to guide the optimal and evidence-based utilization of VUDS in contemporary practice. 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 

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 

Drug repurposing for Alzheimer's disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph.

BioData mining
Drug repurposing (DR) offers a promising alternative to the high cost and low success rate of traditional drug development, especially for complex diseases like Alzheimer's disease (AD). This study addressed DR for AD from three key angles: (1) demon... read more 

Artificial intelligence assisted automated short answer question scoring tool shows high correlation with human examiner markings.

BMC medical education
BACKGROUND: Optimizing the skill of answering Short answer questions (SAQ) in medical undergraduates with personalized feedback is challenging. With the increasing number of students and staff shortages this task is becoming practically difficult. He... read more 

Image space formalism of convolutional neural networks for k-space interpolation.

Magnetic resonance in medicine
PURPOSE: Noise resilience in image reconstructions by scan-specific robust artificial neural networks for k-space interpolation (RAKI) is linked to nonlinear activations in k-space. To gain a deeper understanding of this relationship, an image space ... read more 

Seeker-M: A bionic mantis shrimp robot with an adjustable-mass flexible spine.

Bioinspiration & biomimetics
To enhance the motion flexibility and environmental adaptability of underwater robots, this study proposes a novel design, Seeker-M, inspired by the locomotion mechanism of the mantis shrimp. The robot imitates the mantis shrimp's multi-pleopod swimm... 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 

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 

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