[HTML][HTML] Privacy-preserving artificial intelligence in healthcare: Techniques and applications
There has been an increasing interest in translating artificial intelligence (AI) research into
clinically-validated applications to improve the performance, capacity, and efficacy of …
clinically-validated applications to improve the performance, capacity, and efficacy of …
Federated Learning for Digital Healthcare Systems
To bridge the gap between the technological divide in the healthcare (HC) industry, for
example, from traditional to digital, in early disease detection and classification, HC doctors …
example, from traditional to digital, in early disease detection and classification, HC doctors …
Concurring of Neural Machines for Robust Session Key Generation and Validation in Telecare Health System During COVID-19 Pandemic
In this technique, it has been proposed to agree the session keys that have been generated
through dual artificial neural networks based on the Telecare Health COVID-19 domain …
through dual artificial neural networks based on the Telecare Health COVID-19 domain …
Next-Gen Cryptography: The Role of Machine Learning Applications in Privacy Preservation for Sensitive Data
G Padmapriya, V Vennila, K Anitha… - Machine Learning and …, 2024 - igi-global.com
In a time marked by an ever-increasing number of sensitive data and mounting worries
about breaches of privacy, the area of cryptography has emerged as the frontrunner in the …
about breaches of privacy, the area of cryptography has emerged as the frontrunner in the …
Post-COVID-19 Neural Cryptographic Onset of Homeopathy Psychiatry Medicine's Transmission in
J Dey, S Ahmad - Journal of Mathematical Sciences & …, 2022 - ingentaconnect.com
In telepsychiatric treatments, the medical data of various types of patients' data are to be
communicated in a well-protected way between the patient and the psychiatrists …
communicated in a well-protected way between the patient and the psychiatrists …