Artificial Intelligence Medical Compendium

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

Showing 57,211 to 57,220 of 227,153 articles

Machine learning-based image analysis of Parkinson's disease iPS-derived neurons predicts genotype and reveals mitochondria-lysosome abnormalities

bioRxiv
Mitochondrial and lysosomal dysfunction are central features of Parkinson's disease (PD) across major genetic forms including PRKN, SNCA, and LRRK2. We applied cell morphomics, a machine-learning-based framework combining high-content imaging with qu... read more 

Breast cancer radiogenomics analysis via computational perturbation on AI-driven multi-omics guided image synthesis

bioRxiv
Radiogenomics offers a promising non-invasive approach for characterizing breast cancer (BC), yet its progress is often limited by the scarcity of cohorts containing matched imaging and multi-omics data. Recent advances in generative AI have enabled ... read more 

De novo design of a safe and potent respiratory syncytial virus immuno-focusing antigen

bioRxiv
Respiratory syncytial virus (RSV) remains the leading cause of severe respiratory infections in infants, the elderly, and the immunocompromised. Although stabilized full-length pre-fusion (pre-F) protein vaccines are promising, enhanced respiratory d... read more 

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