Artificial Intelligence Medical Compendium

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

Showing 59,121 to 59,130 of 227,876 articles

A hybrid federated learning framework with generative AI for privacy-preserving and sustainable security in IOT-enabled smart environments.

Scientific reports
The dramatic increase in IoT devices in a smart ecosystem like smart cities, transportation systems, and healthcare and industrial automation has greatly improved network connectivity and data-driven informed decisions. But this extraordinary level o... read more 

Hybrid net powered large scale audit of dataset licensing and attribution practices for enhanced transparency and compliance.

Scientific reports
In the era of data-driven research and artificial intelligence, proper dataset licensing and attribution practices are crucial for legal compliance and ethical data usage. Open-access datasets are often shared under various licensing schemes, such as... read more 

A machine learning-based prediction model for poor prognosis in sepsis using lymphocyte count: a national, multicenter prospective cohort.

Scientific reports
Sepsis-induced immunosuppression leads to poor prognosis. Circulating lymphocyte count (LC), as an easily accessible clinical marker, closely reflects the immune status of sepsis. The study aims to perform immune phenotyping of sepsis patients using ... read more 

Research on the evaluation and analysis of road surface roughness based on smartphone sensors and SVM.

Scientific reports
We present a cost-effective approach to evaluating road surface quality and roughness based on low-cost smartphones by leveraging accelerometer and gyroscope data sampled at 10 Hz. We extracted features from the vertical accelerations and rolling mot... read more 

Deep learning with fourier features for regressive flow field reconstruction from sparse sensor measurements.

Scientific reports
Many applications in computational and experimental fluid mechanics require effective methods for reconstructing the flow fields from limited sensor data. However, this task remains a significant challenge because the measurement operator that provid... read more 

Machine learning for predicting functional outcomes in acute ischemic stroke: insights from a nationwide stroke registry.

Scientific reports
Accurately predicting the prognosis of patients with acute ischemic stroke at discharge remains highly challenging after active treatment. The aim of this retrospective nationwide registry-based study was to identify key predictors associated with fa... read more 

The efficiency paradox of discharge masking head loss in run-of-river hydropower generation.

Scientific reports
While climate impacts on hydropower output are well-documented, plant efficiency, the critical ratio of electrical energy generated to hydraulic energy input, remains an underexplored metric, particularly in data-limited regions. This study analyzes ... read more