EPISODE · Jun 13, 2025 · 30 MIN
AI in Healthcare: Between Hype and Hope
from ByteSight · host PAICON
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 harmonizationThe need for technical solutions like watermarking for medical data securityLessons from global AI implementation – India’s state-driven efforts, Dubai’s fast-paced rollout, and Europe's regulatory focusThe "Remaining 84%" problem in global AI applicability and the role of demographic diversityIf 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.
What this episode covers
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 harmonizationThe need for technical solutions like watermarking for medical data securityLessons from global AI implementation – India’s state-driven efforts, Dubai’s fast-paced rollout, and Europe's regulatory focusThe "Remaining 84%" problem in global AI applicability and the role of demographic diversityIf 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.
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AI in Healthcare: Between Hype and Hope
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