The chronic, progressive presentation of COPD, symptom overlap, and nature of patient self-reporting make it hard to identify exacerbations. We need more specific guidelines around, as well as tools for, assessing a patient’s progression from day to day. AI-supported diagnostic systems represent a potential breakthrough technology that could help us overcome significant knowledge gaps.
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.
Advances in medical devices and technology have had a profound effect on those with mild, moderate and severe hearing loss. Here, we take a closer look at how these technologies have evolved and what the future may hold.
Digital transformation requires a clear vision, buy-in at every level, and significant investment. Here are three steps to streamline the process.
Anthony Fernando, CEO and president of Asensus Surgical, discusses the potential benefits of augmented intelligence in robotic surgery for both patients and physicians.
As data, rather than document-based dossiers, become the focus for regulatory processes, regulatory affairs managers need to consider whether team skill sets need to be refreshed to reflect new ways of working.
Bringing design and quality assurance processes together earlier in the device development process can reduce costs and nonconformances, while improving outcomes.
On Tuesday, October 4, the White House released a Blueprint for an Artificial Intelligence (AI) Bill of Rights geared toward protecting the American public as the use of AI and machine learning expands throughout industry and online.
The deeper insights provided by a single source of truth help regulatory teams pinpoint and address gaps in data collection during each trial phase. By mitigating potential risks earlier in the process, teams generate more robust evidence and stronger submissions, which often means a shorter approval process.
The reality of biased data is becoming all too clear, which raises important questions for clinicians as well as device and drug developers. In a world full of biased data what are the most ethical practices to achieve equitable health care?
