EU Regulation of Artificial Intelligence: Challenges for Patients’ Rights

Kolfschooten, Hannah van

doi:10.2139/ssrn.3997366

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Ai Systems: How To Make Diagnosis and Who Is Responsible1

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2023

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“…This can be achieved by introducing specific forms of notification to authorities and a monitoring mechanism. And, of course, it is necessary to raise awareness of patients so that they know the signs that may indicate that contacting a particular medical institution may pose a danger [31].…”

Section: Ai Systems: How To Make Diagnosis and Who Is Responsiblementioning

confidence: 99%

AI image-based diagnosis systems: how to implement them?

Maria

Ablameyko

2023

JDH

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Artificial intelligence (AI) is starting to be widely used in the medical field and has great potential benefits to help doctors and patients. However, it also raises new challenges and problems. This paper analyzed the existing capacities of AI to make a diagnosis and assessed the legal consequences. We present AI medical image analysis systems developed in Belarus. International practice on how AI-systems are implemented in medicine is analyzed. Russian experience in developing standards to test and use AI systems in hospitals is described. Finally, the paper put forward some suggestions on how to improve the legal framework of AI systems using in medicine.

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Section: Ai Systems: How To Make Diagnosis and Who Is Responsiblementioning

confidence: 99%