Artificial Intelligence Medical Compendium

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

Showing 44,141 to 44,150 of 224,055 articles

Registration-based workflow for shape study.

Anatomical record (Hoboken, N.J. : 2007)
Quantitative analysis of shape variation across species has been limited by difficulties in aligning anatomical structures. Although computational techniques for registration have become more accessible, challenges remain that hinder their widespread... read more 

MXene/biomacromolecule composites: structures, properties, fabrication and applications.

Nanoscale
MXene/biomacromolecule composites have rapidly emerged as a versatile class of hybrids that couple the electrical and photothermal functionalities of MXenes with the mechanical reinforcement and bio-derived processability of natural macromolecules. T... read more 

Integrating Artificial Intelligence in Periodontal Diagnosis: A Comparative Evaluation of ChatGPT-4 and Dental Educators.

Journal of dental education
OBJECTIVE: As artificial intelligence (AI) tools gain traction in healthcare, their role in periodontal diagnostics remains largely unexplored. This study evaluated the diagnostic accuracy of ChatGPT-4 in applying the 2017 Classification of Periodont... read more 

LCNet: lightweight segmentation network for blood vessel segmentation in retinal imaging.

Medical engineering & physics
Precise retinal vessel segmentation techniques are crucial for computer-aided clinical diagnosis. Recent advancements in deep learning have considerably enhanced segmentation accuracy (ACC); however, existing methods often struggle with thin and fuzz... read more 

From pharmacokinetic genes to polygenic scores and multi-omic integration: advances towards precision psychiatry.

Expert opinion on drug metabolism & toxicology
INTRODUCTION: . Pharmacological treatment is the mainstay in the acute and long-term management of severe mental disorders such as major depressive disorder, schizophrenia and bipolar disorder. However, there is large interindividual variability in c... read more 

Design, modeling, and experimental study of variable stiffness pneumatic bio-inspired soft actuators.

Bioinspiration & biomimetics
Inspired by the actuation mechanism of octopus tentacles, this study proposes a pneumatic bio-inspired soft actuator with variable stiffness to improve load-bearing capability and manipulation performance while enabling flexible stiffness control. Th... read more 

Lanthanide-Doped Organic Framework Sensor Array Coupled with Machine Learning for Minimally Invasive Glioma Diagnosis via Cerebrospinal Fluid Biopsy.

Nano letters
Glioblastoma multiforme (GBM), the most malignant subtype of glioma, poses significant diagnostic challenges due to limitations in current methods, such as invasive histopathological examination and costly, lab-restricted biomarker detection technolo... read more 

Integrating Multiview Information for Enhanced Deep Learning-Based Acute Dermal Toxicity Prediction.

Journal of chemical information and modeling
Accurate prediction of acute dermal toxicity is vital for the safe and effective development of contact drugs. While numerous deep learning models have been created to replace costly and ethically challenging animal toxicity tests, most approaches ov... read more 

Adverse outcome pathway-informed machine learning for predicting vascular toxicity of emerging organic pollutants.

Environmental science. Processes & impacts
Emerging organic pollutants (EOPs) are increasingly detected in wastewater and pose potential vascular toxicity risks that remain inadequately assessed in current regulatory frameworks. This study developed an adverse outcome pathway (AOP)-informed m... read more