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In this episode of ByteSight, host Dr. Manasi A-Ratnaparkhe, co-founder and CEO of PAICON, sits down with with Dr. Rohit Thanki, an AI researcher with hands-on experience across India, Dubai, and Germany, to explore the complex reality of AI in healthcare. From the allure of AI models to the sobering challenges of data silos, regulatory bottlenecks, and lack of global applicability, Dr. Tanki shares deep insights on what it takes to move beyond the buzzwords.
We discuss:
Key challenges in AI adoption in healthcare, from data access to harmonization
The need for technical solutions like watermarking for medical data security
Lessons from global AI implementation – India’s state-driven efforts, Dubai’s fast-paced rollout, and Europe's regulatory focus
The "Remaining 84%" problem in global AI applicability and the role of demographic diversity
If you're building AI for health, this episode is your reminder that accuracy alone isn’t enough—equity, security, and regulation must be part of the equation.
By ByteSightIn this episode of ByteSight, host Dr. Manasi A-Ratnaparkhe, co-founder and CEO of PAICON, sits down with with Dr. Rohit Thanki, an AI researcher with hands-on experience across India, Dubai, and Germany, to explore the complex reality of AI in healthcare. From the allure of AI models to the sobering challenges of data silos, regulatory bottlenecks, and lack of global applicability, Dr. Tanki shares deep insights on what it takes to move beyond the buzzwords.
We discuss:
Key challenges in AI adoption in healthcare, from data access to harmonization
The need for technical solutions like watermarking for medical data security
Lessons from global AI implementation – India’s state-driven efforts, Dubai’s fast-paced rollout, and Europe's regulatory focus
The "Remaining 84%" problem in global AI applicability and the role of demographic diversity
If you're building AI for health, this episode is your reminder that accuracy alone isn’t enough—equity, security, and regulation must be part of the equation.