A recent article outlines four key obstacles to healthcare’s adoption of AI:
1. Developing regulatory frameworks
2. Achieving FDA approval
3. AI is a “black box”
4. Lower hurdles in life sciences
Despite the need for more comprehensive regulations — and adherence to that regulatory framework — and ongoing questions about the clinical relevance of AI, according to HBR, “the opportunities the technology presents to change the standard of care, improve efficiencies and help clinicians make more informed decisions is worth the effort to overcome them.”
More articles on AI:
Indiana U receives $60M to establish AI initiative for digital health
Microsoft, Nuance partner to develop ‘exam room of the future’ with the help of AI
Amazon’s Textract data extraction tool now HIPAA-eligible
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