Independent intelligence on healthtech across Asia and the Middle East
HealthTechAsia’s Vishnu Narayan writes that digital health’s future depends less on tech itself, and more on the systems and capabilities built around it, bringing both challenge and opportunity.
The companies plan to conduct joint RWE research using clinical data and develop AI models through federated learning. a technique that trains algorithms without transferring raw data externally.
Korea Body Information and maihub will present AI-powered musculoskeletal diagnostics and clinical orchestration platforms in Thailand.
The agreement focuses on integrating AI directly into clinical workflows, with the stated aim of supporting radiologists in routine decision-making.
APEC discussions reflect growing consensus that healthtech adoption must be responsibly governed, with accountability frameworks keeping pace with innovation.
Digital systems within Uzbekistan's State Health Insurance Fund offer a platform for AI integration, including modules for clinical records, hospital payments, and claims processing.
Is AI in healthcare regulated for the world it is actually entering? Vishnu Narayan argues that global principles have converged — but governance must now catch up with deployment realities.
Regulatory frameworks for artificial intelligence in healthcare are developing rapidly across multiple jurisdictions but remain inconsistent, under-enforced, and poorly coordinated.
Indonesia invited global stakeholders to partner with SatuSehat and contribute to its emerging healthcare AI framework — across knowledge and expertise, resources, and implementation.