Privacy protection and secondary use of health data: strategies and methods
D Xiang, W Cai - BioMed Research International, 2021 - Wiley Online Library
Health big data has already been the most important big data for its serious privacy
disclosure concerns and huge potential value of secondary use. Measurements must be …
disclosure concerns and huge potential value of secondary use. Measurements must be …
[HTML][HTML] Management of medico-legal risks in digital health era: a scoping review
Artificial intelligence needs big data to develop reliable predictions. Therefore, storing and
processing health data is essential for the new diagnostic and decisional technologies but …
processing health data is essential for the new diagnostic and decisional technologies but …
[HTML][HTML] Operationalizing and implementing pretrained, large artificial intelligence linguistic models in the US health care system: outlook of generative pretrained …
Generative pretrained transformer models have been popular recently due to their
enhanced capabilities and performance. In contrast to many existing artificial intelligence …
enhanced capabilities and performance. In contrast to many existing artificial intelligence …
[HTML][HTML] A novel decentralized federated learning approach to train on globally distributed, poor quality, and protected private medical data
Training on multiple diverse data sources is critical to ensure unbiased and generalizable
AI. In healthcare, data privacy laws prohibit data from being moved outside the country of …
AI. In healthcare, data privacy laws prohibit data from being moved outside the country of …
Advancing pandemic preparedness in healthcare 5.0: A survey of federated learning applications
S Hamood Alsamhi, A Hawbani… - Advances in Human …, 2023 - Wiley Online Library
The intersection of Federated Learning (FL) and Healthcare 5.0 promises a transformative
shift towards a more resilient future, particularly concerning pandemic preparedness. Within …
shift towards a more resilient future, particularly concerning pandemic preparedness. Within …
Ethical responsibilities for companies that process personal data
It has become increasingly difficult for individuals to exercise meaningful control over the
personal data they disclose to companies or to understand and track the ways in which that …
personal data they disclose to companies or to understand and track the ways in which that …
Explainable, domain-adaptive, and federated artificial intelligence in medicine
Artificial intelligence (AI) continues to transform data analysis in many domains. Progress in
each domain is driven by a growing body of annotated data, increased computational …
each domain is driven by a growing body of annotated data, increased computational …
[HTML][HTML] Machine learning in radiology: the new frontier in interstitial lung diseases
H Barnes, SM Humphries, PM George… - The Lancet Digital …, 2023 - thelancet.com
Challenges for the effective management of interstitial lung diseases (ILDs) include
difficulties with the early detection of disease, accurate prognostication with baseline data …
difficulties with the early detection of disease, accurate prognostication with baseline data …
[HTML][HTML] A medical ethics framework for conversational artificial intelligence
E Fournier-Tombs, J McHardy - Journal of Medical Internet Research, 2023 - jmir.org
The launch of OpenAI's GPT-3 model in June 2020 began a new era for conversational
chatbots. While there are chatbots that do not use artificial intelligence (AI), conversational …
chatbots. While there are chatbots that do not use artificial intelligence (AI), conversational …
[PDF][PDF] Big data and predictive analytics in healthcare in Bangladesh: regulatory challenges
Big data analytics and artificial intelligence are revolutionizing the global healthcare
industry. As the world accumulates unfathomable volumes of data and health technology …
industry. As the world accumulates unfathomable volumes of data and health technology …