AI's Struggles in Healthcare: Bridging the Gap for Effective Integration
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Contributed by: Kate Gamble
Summary
The article examines the challenges faced by artificial intelligence (AI) in the healthcare sector, highlighting issues such as data quality, bias, and the complexities of human health. It points out that while AI has potential for improving outcomes, its implementation often falls short due to inadequate training datasets and a lack of understanding of clinical contexts. The author stresses the need for better collaboration between technologists and healthcare professionals to create more effective AI solutions that are both trustworthy and applicable in real-world medical settings.
