Fierce Healthcare

AI scribe output jumps in quality and completeness with more patient context: study

AI-enabled value-based care company Navina has released preliminary research showing that adding patient history to ambient scribe technology significantly increases documentation quality. Navina’s ...
Frontiers

Development of a machine learning-based predictive model for osteoporosis risk and its application in clinical decision support

1 Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China 2 Affiliated Hospital of Jiangxi University of Chinese Medicine, Nanchang, Jiangxi, China Objective: This study was aimed at ...
Semiconductor Engineering

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
IEEE

Mapping the Machine Learning Landscape in Autonomous Vehicles: A Scientometric Review of Research Trends, Applications, Challenges, and Future Directions

Abstract: In recent years, Machine Learning (ML) has emerged as a transformative technology in the field of Autonomous Vehicles and Autonomous Driving, fundamentally reshaping vehicle perception, ...
Fierce Healthcare

Qventus unveils 'AI Solution Factory' to accelerate healthcare AI rollouts

Qventus has engineered a method to bring a faster surge of healthcare artificial intelligence solutions to its customers. The company is coining the capability the “AI Solution Factory” to mimic the ...
IEEE

A Novel Multi-Objective Optimization Method by Machine Learning and its Application in MEMS Vibration Energy Harvesters Design

Abstract: This paper presents a novel method based on machine learning to improve multi-objective performance in micro devices efficiently. Stochastic strategies are employed, with automated ...
Education Week

The Changing Face of College Applications, By the Numbers

Students continue to pursue postsecondary education—particularly Latino and Black students—and a growing share of those applicants are choosing to submit SAT and ACT scores even when institutions are ...
IPWatchdog

Are AI and Machine Learning Patents Doomed After Recentive?

“To maximize the likelihood that applications and patents will be found eligible under Section 101 by the USPTO and courts [after Recentive], applicants should carefully craft a narrative of a ...
Frontiers

Development and validation of a machine-learning model for the risk of potentially inappropriate medications in elderly stroke patients

Department of Pharmacy, The second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, China Objective: To construct a risk prediction model for potentially inappropriate ...
BMJ

Application of machine learning in early childhood development research: a scoping review

Background Early childhood development (ECD) lays the foundation for lifelong health, academic success and social well-being, yet over 250 million children in low- and middle-income countries are at ...
Scientific Research Publishing

Application Research of Machine Learning in Emergency Field ()

With the rapid development of science and technology, artificial intelligence plays a significant role across various domains. In recent years, frequent occurrences of natural disasters and human-made ...