Artificial Intelligence Medical Compendium

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

Showing 57,451 to 57,460 of 227,388 articles

Spatial mapping of RNA turnover kinetics and regulatory landscapes of mRNA stability in the mammalian brain

bioRxiv
Spatial and activity-dependent gene regulation in the mammalian brain requires coordinated control of RNA synthesis and degradation, yet spatially resolved measurement of RNA turnover kinetics in complex tissues remains technically challenging. Here,... read more 

Do eyes say it all? Assessing the utility of physiological signals for predicting systemic cognitive states

bioRxiv
Robust estimation of systemic human cognitive states is critical for many applications, from simply detecting inefficiencies in human task performance to adapting the behaviors of artificial agents to improve team performance in mixed-initiative huma... read more 

Automatic parameter estimation and detection of ringed seal knocking vocalizations

bioRxiv
Passive acoustic monitoring is a valuable tool for studying elusive marine mammals, but analyzing large datasets is typically labor-intensive and costly. In this study, we piloted an automatic approach for sound analysis on extensive datasets of acou... read more 

A Systematic Review of Applications, Challenges, and Future Trajectories of Artificial Intelligence in Cosmetic Surgery.

Aesthetic surgery journal
The global demand for cosmetic procedures is accelerating, with over 1.6 million aesthetic surgical procedures performed in the US in 2023. Concurrently, AI is transforming surgical practice through advanced analytics, predictive modeling, and comput... read more 

Evaluating Plastic Surgery Chatbot Performance: Insights into Medical Triage, Classification Accuracy, and Escalation Trends.

Aesthetic surgery journal
BACKGROUND: The integration of AI chatbots into plastic surgery websites is now standard, providing asynchronous, real-time engagement for patients. Although promoted as scheduling and medical guidance tools, their contribution to clinical workflow i... read more 

A Deep Learning-Based Ensemble Model for Automated Nasolabial-Fold Severity Grading.

Aesthetic surgery journal
BACKGROUND: Nasolabial-fold (NLF) severity is a key indicator of facial aging and a frequent target in aesthetic treatments. The Wrinkle Severity Rating Scale (WSRS) is widely used for clinical grading but remains inherently subjective and vulnerable... read more 

Deep Learning-Based Model for Breast Implant Classification in Ultrasonography: A Multi-Institutional Model Development and Validation Study.

Aesthetic surgery journal
BACKGROUND: The increasing prevalence of implant-based breast surgeries highlights a critical gap in patient knowledge regarding implant information, exacerbated by inadequate record-keeping and emerging safety concerns. OBJECTIVES: The authors of th... read more 

DMPFDet: An end-to-end deformable mutual-promotion learning network for multispectral visible-infrared fusion detection.

Neural networks : the official journal of the International Neural Network Society
Multimodal image fusion and object detection significantly enhance detection accuracy and robustness in complex environments, which is crucial for autonomous driving. Despite the progress in multimodal fusion methods, most of them focus on generating... read more 

Automated neural network femur segmentation performance in computed tomography images of older adults with obesity.

JBMR plus
Femur segmentation is a precursor to image analysis pipelines that evaluate hip bone measures with subject-specific finite element models, but historically required time-intensive efforts of operators. Implementing deep learning techniques offers a p... read more