Leaders in digital health development and regulation look at best practices, pitfalls and what’s next for connected medical devices and technologies.
Rama Chellappa, PhD, John Hopkins University Bloomberg Distinguished Professor in electrical, computer, and biomedical engineering, and co-author of “Can We Trust AI?” looks at the promise of AI in health care and how we can best utilize this extraordinary tool to save lives and improve health equity.
Anthony Fernando, CEO and president of Asensus Surgical, discusses the potential benefits of augmented intelligence in robotic surgery for both patients and physicians.
Bringing design and quality assurance processes together earlier in the device development process can reduce costs and nonconformances, while improving outcomes.
Inspecting for quality after a process is completed is reactive and outdated. Instead, the future lies in predicting quality and quality issues. For medical device manufacturers, the advantages in predictive quality are so great they simply cannot be ignored.
Remote care in the home relies both on the quality of patient monitoring and on the insights provided to the care team. There is a real danger that data overload and alert fatigue will undermine otherwise well-designed remote patient monitoring (RPM) and Hospital at Home programs. The software platform and algorithms tasked with integrating and evaluating data must identify the data that matters, when it matters.
Is technology replacing the human element in hospitals and clinics, or enhancing it? In this AAMI Research Review, a pair of newly published studies exemplify how accounting for the humans that use a technology can enhance its effectiveness… and vice versa.
The total $8.4 billion fiscal year 2023 budget request is 34% higher than the agency’s 2022 appropriated funding level.
Fueled by the need to provide quality care during a global pandemic, healthcare stakeholders are acting quickly to identify new opportunities and overcome challenges.
Embracing compliance is a continuous process, and investing in agile technologies that streamline workflows—especially in meeting EU MDR and IVDR requirements—is essential, says Lana Feng, Ph.D., CEO-founder of Huma.AI, a pioneer in a human-centered AI.