Thinking outside the black box: CardioPulse takes a look at some of the issues raised by machine learning and artificial intelligence

Key Points

• 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.