To realise AI’s promise in healthcare, fix the foundations first
Daryush Ashjari, CTO and VP of Solutions Engineering, APJ at Nutanix unpacks how healthcare organisations need to fix their digital foundations to realise AI's promise in the sector.
Healthcare innovation in the world's biggest markets
Daryush Ashjari, CTO and VP of Solutions Engineering, APJ at Nutanix unpacks how healthcare organisations need to fix their digital foundations to realise AI's promise in the sector.
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.
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.