Healthcare system: Moving forward with artificial intelligence
Artificial intelligence (AI) in healthcare is becoming increasingly important, given its potential
to generate and analyse healthcare data to improve patient care and reduce costs and …
to generate and analyse healthcare data to improve patient care and reduce costs and …
Blockchain and federated learning-based security solutions for telesurgery system: a comprehensive review
S Chaudjary, R Kakkar, R Gupta… - Turkish Journal of …, 2022 - journals.tubitak.gov.tr
The advent of telemedicine with its remote surgical procedures has effectively transformed
the working of healthcare professionals. The evolution of telemedicine facilitates the remote …
the working of healthcare professionals. The evolution of telemedicine facilitates the remote …
Deep learning in pervasive health monitoring, design goals, applications, and architectures: An overview and a brief synthesis
The continuous growth of an aging population in some countries, and patients with chronic
conditions needs the development of efficient solutions for healthcare. Pervasive Health …
conditions needs the development of efficient solutions for healthcare. Pervasive Health …
Detection of breast cancer masses in mammogram images with watershed segmentation and machine learning approach
Abstract In Healthcare systems, Breast Cancer is the second most vital cause of mortality
among women. If it's not detected in the early stages, chances of survival get decreased …
among women. If it's not detected in the early stages, chances of survival get decreased …
Application of machine learning in predicting frailty syndrome in patients with heart failure
R Szczepanowski, I Uchmanowicz… - Advances in Clinical …, 2024 - pure.qub.ac.uk
Prevention and diagnosis of frailty syndrome (FS) in patients with heart failure (HF) require
innovative systems to help medical personnel tailor and optimize their treatment and care …
innovative systems to help medical personnel tailor and optimize their treatment and care …
Unleashing potential: a deep dive into AI-blockchain integration for UAV-enhanced tele-surgery
S Punitha, KS Preetha - Cogent Engineering, 2024 - search.proquest.com
The emergence of telemedicine, which allows for distant surgical operations, has
significantly changed how medical professionals operate. The most vital application of …
significantly changed how medical professionals operate. The most vital application of …
Potential for artificial intelligence in medicine and its application to male infertility
H Kobayashi - Reproductive Medicine and Biology, 2024 - Wiley Online Library
Background The third AI boom, which began in 2010, has been characterized by the rapid
evolution and diversification of AI and marked by the development of key technologies such …
evolution and diversification of AI and marked by the development of key technologies such …
Exploiting Machine Learning Bias: Predicting Medical Denials
S Russell, FM Suros, A Kumar - Proceedings of the AAAI Symposium …, 2024 - ojs.aaai.org
For a large healthcare system, ignoring costs associated with managing the patient
encounter denial process (staffing, contracts, etc.), total denial-related amounts can be more …
encounter denial process (staffing, contracts, etc.), total denial-related amounts can be more …
Role of AI in Delivering eHealth Services Through CDSS (Clinical Decision Support System)
The success of AI in the eHealth space is likely attributed, in part to the richness of large
datasets and efficiency of computer science and information technology. This allows artificial …
datasets and efficiency of computer science and information technology. This allows artificial …
Transforming Healthcare with AI: An Adequate Method for Diabetes Prediction Using Machine Learning Techniques
P Sharma, M Butwall - Data-Driven Analytics for Healthcare, 2025 - taylorfrancis.com
Artificial intelligence (AI) techniques, which are already widely employed in contemporary
industry and daily life, are being used more and more in healthcare. Healthcare service …
industry and daily life, are being used more and more in healthcare. Healthcare service …