Lab IoT adoption is growing, and recent innovations make it more promising than ever. See how IoT advances can unlock new standards of equipment uptime.
As healthcare pushes forward in digital transformation, AI has emerged as a critical tool in optimizing electronic medical records. EMRs remain both vital and frustrating. Clinicians wrestle with usability, while patients struggle with engagement and access. By integrating AI thoughtfully and securely, we can create a more intuitive, efficient and user-centric experience for both groups.
MTI Viewpoint: I expect fundamental changes to our medical device ecosystem; not all companies will survive them. The ability to consistently use AI will also determine who will be among the survivors and even the winners. AI will not only be part of the devices but also an internal tool.
For over four decades, the medical device industry has wrestled with fragmented data exchange and proprietary integrations. HL7’s Device Interoperability FHIR Accelerator initiative offers a vendor-neutral framework to finally achieve plug-and-play interoperability—unlocking scalable, AI-powered MedTech innovation and improving patient outcomes.
AI’s reach depends on the environments in which it operates as well as how it is developed and deployed, highlighting a fundamental debate on whether we should push for regulation or opt for free-market-driven deregulation.
Wearables such as smart watches or sensor rings are already a routine part of everyday life and are also popular Christmas gifts. They track our pulse rate, count our steps or analyze our sleep patterns. How can they already influence our behavior today and what future developments are possible?
How will 2025 rise to the challenge of meeting the demand for personalized healthcare? A perspective on the transformative advancements of 2024—highlighting the impact of AI, robotics, and digital health as they begin to reshape the healthcare landscape.
The AI Training Dataset Market size is projected CAGR of 27.7% in the coming years. By 2024, the market had reached an approximate value of USD 2.82 billion and is forecasted to reach USD 9.58 billion by 2029, according to a new report by MarketsandMarkets™.
AI and real-time data enhance care efficiency and access. And with healthcare workers in short supply, the rapid advancements in AI, IoMT, and related innovation offer patient access freedom, enhanced care delivery, and better outcomes.
AI has the ability to revolutionize the medical landscape, but to enable this, Quality Engineering is critically important.
