Application of artificial intelligence in orthodontics: current state and future perspectives

J Liu, C Zhang, Z Shan - Healthcare, 2023 - mdpi.com
In recent years, there has been the notable emergency of artificial intelligence (AI) as a
transformative force in multiple domains, including orthodontics. This review aims to provide …

Blockchain technology and federated machine learning for collaborative initiatives in orthodontics and craniofacial health

V Allareddy, S Rampa, SR Venugopalan… - Orthodontics & …, 2023 - Wiley Online Library
There is a paucity of largescale collaborative initiatives in orthodontics and craniofacial
health. Such nationally representative projects would yield findings that are generalizable …

Privacy-preserving machine learning for healthcare: open challenges and future perspectives

A Guerra-Manzanares, LJL Lopez… - … on Trustworthy Machine …, 2023 - Springer
Abstract Machine Learning (ML) has recently shown tremendous success in modeling
various healthcare prediction tasks, ranging from disease diagnosis and prognosis to patient …

Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review

S Donkada, S Pouriyeh, RM Parizi, M Han… - arXiv preprint arXiv …, 2023 - arxiv.org
Cardiovascular diseases (CVD) are the leading cause of death globally, and early detection
can significantly improve outcomes for patients. Machine learning (ML) models can help …

[HTML][HTML] Unified time series analysis with Bi-long short-term memory model for early prediction of dyslipidemia in steel workers

G Karunakar, G Shreya, GS Priya, A Vasavi… - e-Prime-Advances in …, 2023 - Elsevier
Dyslipidemia is a serious problem in steel workers, which needs to be detected in the early
stage. However, the state of art machine learning methods failed to provide accurate …

Cybersecurity for Space Systems

G Poornima, R Pallavi - Cyber Space and Outer Space Security, 2024 - taylorfrancis.com
Space security has become increasingly important over the past 10 years as space has
become more integrated into our daily lives. However, there is no agreed-upon definition of …

Difficulties and Recommendations for AI-Based Prediction of Prostate Cancer Aggressiveness in Digital Pathology

M Brehler, P Walhagen, C Busch, S Bonn… - Medical Research …, 2023 - esmed.org
Prostate cancer is among the most common cancers in men with around 1.4 million new
cases each year world-wide. A vital part in the diagnosis of prostate cancer is the evaluation …