When developing or deploying new algorithms, hospitals and healthcare AI developers must pay close attention to the quality of training datasets, as well as take active steps to mitigate biases, said Divya Pathak, chief data officer at NYC Health + Hospitals, during a recent panel discussion.
In this month’s episode, Senior Reporter Katie Adams discussed some executive hires, promotions and departures that recently occurred in the healthcare world, as well as layoffs affecting the industry. We also hear from Brian Anderson, who recently became CEO of the Coalition for Health AI (CHAI).
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
On Monday at HIMSS24, Innovaccer unveiled a preview of its new AI copilot for providers, which is slated to go on the market by the end of 2024. The solution is a portable tablet device designed to provide clinicians with point-of-care support — it flags care and coding gaps, assists with clinical documentation and advises clinicians on possible diagnosis pathways.
The ultimate challenge for the broader adoption of AI in medical imaging remains the same: demonstrating to healthcare institutions that it provides a clear ROI.
There are three key areas of the healthcare sector where generative AI is booming the most — in terms of both venture capital funding and the development of innovative technology — according to Anjalika Komatireddy, an analyst at CB Insights. During a recent webinar, she discussed the generative AI activity occurring in these three areas: care delivery and navigation, digital therapeutics and drug discovery.
But what AI solutions can’t do is magically eliminate the need for empowered registrars. Maximizing growth while improving efficiency requires both people and technologies.
At the Abarca Forward conference earlier this year, George Van Antwerp, managing director at Deloitte, discussed how social determinants of health and a personalized member experience can improve medication adherence and health outcomes.
The use of LLMs in healthcare is still quite new, so health systems want to deploy these tools in the least risky way possible. A panel of experts explained how they think health systems can do this during MedCity's INVEST conference — some of their advice included starting with deployment in nonclinical settings and partnering with incumbent vendors rather than startups.
Ascertain — a healthcare AI company creation platform formed last year by Northwell Health and Aegis Ventures — has launched its first startup. New York-based Optain, which has gained an initial seed investment of $12 million, is an AI company meant to enable earlier disease detection and prevention through retinal imaging.
Hidden biases, reduced privacy, and over-reliance on non-transparent, decision-making black boxes can cut against democratic values, potentially putting our civil rights at risk. This means that the effective and equitable use of AI will be based on solving inherent ethical, safety, data privacy and cybersecurity challenges.
Holon Solutions CEO Jon Zimmerman thinks more payers should invest in new technology to improve workloads for healthcare workers. The burnout crisis is too big for providers to solve by themselves, and many of the economic incentives for driving quality and efficiency in healthcare are housed within health plans and accountable care organizations, he said.
We will highlight Build My Health's revenue practice management tools, which could help physician practices add up to $250,000 to their practices.
One healthcare AI expert thinks ChatGPT could have dangerous implications for the field if it’s not used with the proper context. People already turn to sources like Reddit and TikTok when they have a question about a medical concern they’re experiencing — Americans putting too much trust in ChatGPT to answer these questions could make this phenomenon a much bigger problem.
The company's AI-enabled imaging software identifies a suspected pulmonary embolism and delivers real-time notifications to physicians so the patient can be treated quickly.
The Boston-based company announced Monday that it had received 510(k) clearance from the FDA for its Caries Assist, software that uses AI to aid dentists in detecting cavities. In May last year, Overjet received FDA clearance for AI-powered technology used in the diagnosis and treatment of gum disease.
Early detection and treatment of heart failure can greatly improve an otherwise poor prognosis. Research from Mayo Clinic suggests artificial intelligence could be used to detect the condition even when no symptoms are present.
To stay competitive and differentiate themselves, hospitals, physicians and practices must use technology to enhance the patient experience while simultaneously improving outcomes.