AIMC Topic: Confidentiality

Clear Filters Showing 21 to 30 of 177 articles

The urgent need to accelerate synthetic data privacy frameworks for medical research.

The Lancet. Digital health
Synthetic data, generated through artificial intelligence technologies such as generative adversarial networks and latent diffusion models, maintain aggregate patterns and relationships present in the real data the technologies were trained on withou...

Towards regulatory generative AI in ophthalmology healthcare: a security and privacy perspective.

The British journal of ophthalmology
As the healthcare community increasingly harnesses the power of generative artificial intelligence (AI), critical issues of security, privacy and regulation take centre stage. In this paper, we explore the security and privacy risks of generative AI ...

Artificial intelligence and health-related data: The patient's best interest and data ownership dilemma.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
The rapid advancement of artificial intelligence (AI) in healthcare has the potential to revolutionize the global healthcare sector and medicine in general. However, integrating AI technologies in healthcare requires access to large amounts of person...

Data privacy-aware machine learning approach in pancreatic cancer diagnosis.

BMC medical informatics and decision making
PROBLEM: Pancreatic ductal adenocarcinoma (PDAC) is considered a highly lethal cancer due to its advanced stage diagnosis. The five-year survival rate after diagnosis is less than 10%. However, if diagnosed early, the five-year survival rate can reac...

Biomedical Data Science, Artificial Intelligence, and Ethics: Navigating Challenges in the Face of Explosive Growth.

Annual review of biomedical data science
Advances in biomedical data science and artificial intelligence (AI) are profoundly changing the landscape of healthcare. This article reviews the ethical issues that arise with the development of AI technologies, including threats to privacy, data s...

Ethical Challenges and Opportunities in Applying Artificial Intelligence to Cardiovascular Medicine.

The Canadian journal of cardiology
Much anticipation surrounds artificial intelligence's (AI) emergence as a promising tool in health care. It offers potential to revolutionise clinical practice through assistive and autonomous operation. The high prevalence of cardiac disease globall...

Artificial intelligence in colorectal multidisciplinary team meetings. What are the medicolegal implications?

Colorectal disease : the official journal of the Association of Coloproctology of Great Britain and Ireland
AIM: To give an insight into areas for future development and suggestions in the complexities of incorporation of AI into human colorectal cancer (CRC) care while bringing into focus the importance of clinicians' roles in patient care.

Ethical Implications of Artificial Intelligence in Gastroenterology: The Co-pilot or the Captain?

Digestive diseases and sciences
Though artificial intelligence (AI) is being widely implemented in gastroenterology (GI) and hepatology and has the potential to be paradigm shifting for clinical practice, its pitfalls must be considered along with its advantages. Currently, althoug...

Navigating New Legal Guardrails and Emerging AI Challenges.

The Journal of law, medicine & ethics : a journal of the American Society of Law, Medicine & Ethics
Here, we analyze the public health implications of recent legal developments - including privacy legislation, intergovernmental data exchange, and artificial intelligence governance - with a view toward the future of public health informatics and the...