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Increasing patient demand, barriers to access, and elevated costs are pushing healthcare providers to reconsider traditional ...
A review of common risks and pitfalls of incorporating artificial intelligence in medical devices and an overview of the regulatory framework.
Wes Sonnier serves as the President of BioMedical Waste Solutions. With a deep-seated commitment to environmental responsibility and innovation, Wes has been instrumental in steering the company ...
Infographics can propel MedTech research and campaigns and enhance the user experience. Here Fabricio Pamplona, co-founder of online infographic maker for scientists Mind the Graph, explores the power ...
Several alternatives exist to obtain FDA approval of artificial intelligence-enabled medical technology. Determining the best approach for a new device will require an awareness of each pathway’s ...
New directives and guidance aim to connect patients, physicians and other stakeholders across the healthcare ecosystem with a consistently up-to-date information source for product and safety ...
In February, Hologic received FDA clearance for its Genius Digital Diagnostics System, which combines advanced imaging with AI-assisted review for cervical cancer screening. We spoke with Mike Quick, ...
Manufacturing jobs can be dangerous, but knowledge is the first step to minimizing the risks associated with these positions. This article discusses five of the most common safety hazards in medical ...
Behavioral health providers were excluded from the 2009 HITECH Act, which contributed to significant disparities in EHR adoption between mental and physical health providers. The Behavioral Health ...
As technology component pricing continues to rise, MedTech manufacturers are applying proven methods and exploring new approaches to maintain profitability and extend product lifecycles.
The application of AI in telehealth to allow doctors to make real-time, data-driven rich choices is a key component in generating a better patient experience and improved health outcomes.
The future of healthcare lies in the successful integration of workflow automation and advanced technologies. As the buzz-word salad of AI, such as NLP, LLMs, Gen AI, RPA, etc continue to evolve, ...
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