Robotics and AI in Healthcare

KHF 2026 opens in Seoul with focus on AI, robotics and intelligent hospitals

The three-day exhibition and summit brings together medical devices, digital health, medical AI, robotics, digital pathology and smart hospital technologies at COEX in Seoul....

Changchun medical equipment expo spotlights imaging, diagnostics and smart healthcare technologies

The three-day exhibition in northeast China covers medical imaging, in vitro diagnostics, surgical systems, AI healthcare, telemedicine, robotics and hospital infrastructure....

BIRAC showcases Indian medtech innovations spanning robotics, prosthetics and assistive care

The BIRAC pavilion at Bharatiya Vyapar Mahotsav 2026 featured startups developing 3D-printed surgical models, robotic rehabilitation systems, myoelectric prosthetics and assistive technologies....

AIA Healthcare Summit 2026 explores AI, connected health and preventive care in Singapore

Healthcare and technology leaders examined how AI, wearables, predictive analytics and interoperable health data could support earlier intervention, longer healthspan and more coordinated care....

AIA Healthcare Summit 2026 examines preventive care and healthy longevity in Singapore

The inaugural summit brought together more than 700 healthcare, government, technology and business leaders to discuss preventive care, digital health and public-private approaches to extending healthspan....

Qmed Asia and Intel collaborate on unified patient monitoring platform for smart wards

The platform combines bedside device data, continuous monitoring and Early Warning Score alerts into a centralised Smart Ward dashboard built on Intel technology....

Thailand LAB INTERNATIONAL 2026 to spotlight AI-driven science and healthcare innovation

The co-located Thailand LAB INTERNATIONAL, Bio+ HealthTech INTERNATIONAL and FutureCHEM INTERNATIONAL exhibitions will bring together laboratory, biotechnology, health technology and chemical industries in Bangkok from 2–4 September 2026....

Study examines granular consent for cardiac health data sharing

Patients sought greater transparency over AI-mediated data processing, although more detailed consent controls did not significantly change usability or willingness to share information....

Federated AI models enable hospitals to train across decentralised patient records

The approach retained most of the performance of centralised training while allowing three health systems to keep patient-level intensive-care data locally....

National Academies outlines policy priorities for AI in cancer care

The proceedings examine clinical validation, patient safety, privacy and accountability as AI tools are integrated into oncology research and care....