Federated learning: Overview, strategies, applications, tools and future directions
Federated learning (FL) is a distributed machine learning process, which allows multiple
nodes to work together to train a shared model without exchanging raw data. It offers several …
nodes to work together to train a shared model without exchanging raw data. It offers several …
Preserving privacy in large language models: A survey on current threats and solutions
Large Language Models (LLMs) represent a significant advancement in artificial
intelligence, finding applications across various domains. However, their reliance on …
intelligence, finding applications across various domains. However, their reliance on …
No more privacy Concern: A privacy-chain based homomorphic encryption scheme and statistical method for privacy preservation of user's private and sensitive data
Internet giants collects a huge volume of data using the modern technologies and apply
them to data mining for prediction and decision making in numerous fields, for instance …
them to data mining for prediction and decision making in numerous fields, for instance …
Auxiliary use of ChatGPT in surgical diagnosis and treatment
ChatGPT can be used as an auxiliary tool in surgical diagnosis and treatment in several
ways. One of the most incredible values of using ChatGPT is its ability to quickly process and …
ways. One of the most incredible values of using ChatGPT is its ability to quickly process and …
[HTML][HTML] Ten topics to get started in medical informatics research
M Wolfien, N Ahmadi, K Fitzer, S Grummt… - Journal of Medical …, 2023 - jmir.org
The vast and heterogeneous data being constantly generated in clinics can provide great
wealth for patients and research alike. The quickly evolving field of medical informatics …
wealth for patients and research alike. The quickly evolving field of medical informatics …
Collecting, processing and secondary using personal and (pseudo) anonymized data in smart cities
Smart cities, leveraging IoT technologies, are revolutionizing the quality of life for citizens.
However, the massive data generated in these cities also poses significant privacy risks …
However, the massive data generated in these cities also poses significant privacy risks …
[HTML][HTML] Cybersecurity and Privacy Challenges in Extended Reality: Threats, Solutions, and Risk Mitigation Strategies
M El-Hajj - Virtual Worlds, 2024 - mdpi.com
Extended Reality (XR), encompassing Augmented Reality (AR), Virtual Reality (VR), and
Mixed Reality (MR), enables immersive experiences across various fields, including …
Mixed Reality (MR), enables immersive experiences across various fields, including …
[HTML][HTML] A literature review of artificial intelligence (AI) for medical image segmentation: from AI and explainable AI to trustworthy AI
Background and Objective Medical image segmentation is a vital aspect of medical image
processing, allowing healthcare professionals to conduct precise and comprehensive lesion …
processing, allowing healthcare professionals to conduct precise and comprehensive lesion …
[HTML][HTML] Algorithms to anonymize structured medical and healthcare data: a systematic review
Introduction: Utilizing medical health data for secondary purposes such as research is
paramount for the development of better pharmaceuticals for patients and improving the …
paramount for the development of better pharmaceuticals for patients and improving the …
[HTML][HTML] Early diagnosis of HIV cases by means of text mining and machine learning models on clinical notes
Undiagnosed and untreated human immunodeficiency virus (HIV) infection increases
morbidity in the HIV-positive person and allows onward transmission of the virus. Minimizing …
morbidity in the HIV-positive person and allows onward transmission of the virus. Minimizing …