As an oncologic surgeon and AI researcher, I observe a growing gap between clinical practice and AI research. Despite the disruptive potential of AI in healthcare, the lack of clinician involvement and top-down market strategies hinder its effectiveness. To truly innovate in healthcare, we need an interdisciplinary approach and a new generation of doctors skilled in AI.
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A Clinical Perspective on Medical Innovation
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As an oncologic surgeon deeply involved in everyday healthcare, I’ve noticed a gap between clinical practice and AI research. AI has immense potential in healthcare, but it faces unique challenges due to complexity and limited data availability.
A Tech-guided Approach
The enthusiasm for new technologies often leads to applying AI to every problem without considering fundamental questions. Market-driven strategies in healthcare may not sustainably integrate AI solutions.
From “bench” to bedside
A practical approach involves identifying real problems, evaluating current solutions, and assessing the potential for AI to develop better solutions. Direct involvement of clinicians is crucial for effective AI integration in healthcare.
Spotlight on a Practical AI Solution:
Consider the AI Sales Bot designed to automate customer engagement 24/7 and manage interactions across all customer journey stages.
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List of Useful Links:
- AI Lab in Telegram @aiscrumbot – free consultation
- A Surgeon’s Reflections on Artificial Intelligence
- Towards Data Science – Medium
- Twitter – @itinaicom
