Matthew Brady
Philips, Siloam Hospitals Group partner in Indonesia to advance healthcare AI
The partnership aims to help transform clinical care and digital health by leveraging Philips AI innovations, with the goal of delivering better care for more people.
Digital health platform MedxBay launches in UAE
The integrated platform provides access to telemedicine services, AI-powered tools, and blockchain-enabled medical records.
Insurance Meet 2024 evaluates AI impact on health insurance
Insurance Meet 2024 hosted in Dubai considered how AI will shape the insurance landscape by enabling more sophisticated risk assessments that analyse individual health data.
New Singapore centre launched, C-AIM, to advance healthcare AI through research
A new Singapore centre will conduct rigorous studies offering critical insights into how AI can be effectively integrated into clinical workflows.
Saudi medical students show high healthcare AI awareness, but worry about job security
The study reveals that many Saudi medical students, female in particular, are concerned about healthcare AI’s potential impact on job security.
Diary: Riyadh First Health Cluster conference highlights TAVI and AI in cardiology diagnostics
The Riyadh First Health Cluster International Conference, organised by Riyadh First Health Cluster and King Saud Medical City, looked at the latest advancements in cardiovascular technologies.
GITEX DIGI_HEALTH 5.0 Expo-Summit Asia set to take place in Thailand in 2025
GITEX DIGI_HEALTH 5.0 Expo-Summit Asia will move to Bangkok from Singapore in 2025, in a change that capitalises on Thailand’s growth as a global medical tourism hub.
Saudi hospital performs fully robotic heart transplant in world first
A team from King Faisal Specialist Hospital & Research Centre in Riyadh has performed a robotic heart transplant without opening the patient's chest.
India’s National Health Authority partners with IIT Kanpur to develop AI model validation platform for healthcare
A new platform is expected to result in improved research, diagnosis, and clinical outcomes, while also strengthening trust and efficiency of AI systems in clinical settings.