Hidden Challenges of AI in Healthtech: Why It’s More Complex Than It Seems

Artificial intelligence is transforming numerous industries, and healthcare is no exception. Automated diagnostic systems, personalized treatment plans, and advanced medical image analysis—all made possible by AI—are already reshaping the sector. It may seem like the future of healthcare has arrived, especially considering that approximately 94% of healthcare companies report using AI or machine learning in some capacity.

In the European Union, 42% of healthcare organizations leverage AI for disease diagnosis, with another 19% planning to adopt it within three years. With such promising statistics, hospitals and clinics worldwide are exploring ways to integrate AI into their operations—a logical step forward.

However, the reality is far more complex. Despite its clear potential, the healthcare industry is adopting AI at a much slower pace compared to sectors like fintech or retail. Why is this happening?
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