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Thinking outside the black box: CardioPulse takes a look at some of the issues raised by machine learning and artificial intelligence | Synapse
May 29, 2026
Open Access
Thinking outside the black box: CardioPulse takes a look at some of the issues raised by machine learning and artificial intelligence
JO
Judith Ozkan
Institució Catalana de Recerca i Estudis Avançats
Puntos clave
The study aims to address the challenges and issues raised by the application of machine learning and artificial intelligence in healthcare.
Review of existing literature on machine learning and artificial intelligence
Analysis of case studies related to healthcare applications
Discussion of potential improvements in transparency and reliability
Identified several ethical and operational challenges in machine learning applications
Highlights the need for clearer transparency in algorithms
Suggests practical approaches to mitigate risks associated with AI in healthcare.
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Cite This Study
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Judith Ozkan (Mon,) studied this question.
synapsesocial.com/papers/6a1a02cb9dc5faccca0f4a0d
https://doi.org/https://doi.org/10.1093/eurheartj/ehac790