Robotics and AI in Healthcare

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....

AI model extracts long-term health risks from routine sleep study data

The model identified five patient groups with different risks of cardiovascular disease, cognitive decline and death beyond conventional sleep apnoea measures....

Johnson & Johnson receives FDA authorisation for OTTAVA robotic surgical system

The table-integrated soft-tissue robotic system has been authorised for multiple general surgery procedures involving the upper abdomen....

Lucence’s Dr Tan Min-Han on expanding liquid biopsy and precision oncology across Asia

Greater access to genomic testing, local population data and real-world evidence will be central to widening the clinical use of liquid biopsy and precision medicine across Asian healthcare systems....

Associate Professor Daniel Ting on moving clinical AI from hospital pilots to routine care

Hospitals need secure deployment platforms, local validation, sustainable financing and clear governance to translate healthcare AI into safe, scalable clinical use....

Singapore team develops machine-learning tool to predict liver cancer recurrence

The multi-omics tool combines genomic and clinical data and outperformed TNM staging in identifying patients at risk of hepatocellular carcinoma recurrence after surgery....

Inside Philips Pulse Connect: Where healthcare AI moves from concept to clinical practice

A visit to Philips’ innovation campus and St. Antonius Hospital showed how AI is being embedded across imaging, monitoring and minimally invasive treatment—not to replace clinicians, but to help scarce expertise reach more patients....