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.
Angioplasty and stenting procedures (or percutaneous coronary interventions/PCIs) are performed more than four million times around the world every year to open up blockages in coronary arteries to allow the heart to receive proper blood flow. Most of these procedures — 80-85 percent — are only guided by traditional angiography, an x-ray of the blood vessels that requires a contrast agent to be flushed into the heart to identify where the blockages are.
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.
Advancements in cardiac care and novel therapies are transforming cardiac medical devices, providing new solutions for millions affected by heart disease globally.
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 integration of technology and connectivity into healthcare is not only improving patient outcomes but also reshaping the way care is delivered.
“Technological progress presents its own challenges, principal among them is that it risks overwhelming healthcare systems with diagnoses of large numbers of patients whose symptoms may be treatable.”
Health equity can provide equal opportunity for patients to achieve the best care possible. Medtech leaders from Boston Scientific, Sequel Med Tech, and ZEISS Medical Technology share how healthcare delivery, data transparency, and industry collaboration can provide more value to patients.
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.
The value-based care model, with a substantial monetary budget, necessitates on-time and correct risk stratification. As a result, new and incumbent care providers and payers are reinventing healthcare delivery, looking towards cutting-edge GenAI and machine learning technology to radically transform the healthcare delivery paradigm. This article explores how GenAI and machine learning-based risk stratification are revolutionizing a new era of personalized care, resulting in improved healthcare functions for payers and providers.
