Developed with Dr. Justin Davies and powered by Cerebria, the adaptive platform delivers case-based, multilingual IVUS education worldwide, accelerating image interpretation skills and improving care outcomes.
Johnson & Johnson MedTech can create high-fidelity digital twins using NVIDIA Omniverse libraries and build applications that simulate how the system may perform in the operating room and inside a patient.
Through Project SEARCH, Philips develops realistic algorithm-generated CT and MRI datasets that enhance AI accuracy, protect patient privacy, and build clinician trust across oncology and cardiovascular applications.
Carevance is an advanced, reliable monitoring solution that leverages proprietary algorithms and proven technologies to help hospitals and clinicians deliver consistent, high-quality care.
Partnership integrates connected Philips AEDs into Securitas’ guarding solutions, ensuring monitored devices, trained responders, and faster action during sudden cardiac arrests in workplaces and public areas.
The new Category I CPT code, effective January 2027, recognises the CARTIHEAL implant’s proven efficacy, 87% risk reduction, and growing clinical adoption.
The SCHUNK 6-axis FTS force-torque sensor delivers precise, high-resolution performance for efficient, reliable automation in applications like quality control, process monitoring, grinding, and assembly.
The BD Incada Platform integrates data from millions of connected devices, enabling real-time insights, smarter medication management, and improved efficiency across hospital and pharmacy systems.