Many experts think technology will help mitigate healthcare's burnout crisis and workforce shortage, but the healthcare industry still has a lot to figure out when it comes to choosing which tools to deploy and getting its workers on board with these new tools, according to a new report from GE HealthCare.
Hyro — a New York-based startup selling a conversational AI platform for providers — recently closed a $20 million Series B funding round. The platform is "mostly plug-and-play" and requires minimal effort and resources from providers, CEO Israel Krush said.
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.
Lucem Health recently closed a $7.7 million Series A funding round. The startup's platform takes in the data required to fuel AI algorithms that give clinicians insights to improve patient care.
Suki recently announced one of its biggest partnerships to date: it is integrating its voice assistant into Epic’s EHR. The startup's assistant can be thought of as like Apple’s Siri or Amazon’s Alexa — but for doctors.
Hippocratic AI emerged from stealth, as well as announced $50 million in seed funding through a round co-led by General Catalyst and Andreessen Horowitz. The Palo Alto-based startup bills itself as the first large language model designed specifically for healthcare.
Oncology Ventures recently announced investments in three cancer startups — VivorCare, Gabbi and Health Universe. The fund's founding partner said each company demonstrated an ability to tackle a specific problem within the cancer care space, such as enabling earlier breast cancer diagnoses and providing personalized care plans for cancer survivors.
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 healthcare sector has been notoriously slow to adopt new technologies in the past, but ChatGPT has already begun to enter the field. Technology experts at the HIMSS conference in Chicago said that while the AI model is certainly exciting, the healthcare sector must establish an accountability framework for it's going to address the risks of new technologies like ChatGPT moving forward.
Nvidia and Medtronic recently announced a collaboration focused on embedding AI into medical devices. The two companies plan to create marketplace for AI applications that will allow developers and clinicians to develop their own algorithms to use on Medtronic’s medical devices.
Emerging technologies hold the potential to protect doctors, nurses, caregivers, and first responders while driving up efficiencies for manual tasks and processes and enhancing productivity.
The voice solution Suki Assistant uses machine learning and natural language processing to accurately understand and document information and respond to physician commands, according to the company.
Gabby Everett, the site director for BioLabs Pegasus Park, offered a tour of the space and shared some examples of why early-stage life science companies should choose North Texas.
While many healthcare companies have used artificial intelligence for some time now for features like machine learning interpretability required by the healthcare industry for compliance purposes, AI-based healthcare solutions also have the potential to make healthcare more affordable and more accessible, thus helping to improve equity in healthcare.
When breast cancer spreads, it commonly invades the lymph nodes—structures that are part of the body's immune system. Paige's software is designed to find cancer in the lymph nodes that might otherwise be missed, like tiny collections of cancer cells called micrometastases.
Many patients are discharged from the hospital only to be readmitted soon afterward. But recovery coaching programs bolstered by augmented intelligence can significantly reduce readmission rates, improve a patient's overall health and enhance their experience.
There is a need for sophisticated and accurate forecasting software tools that incorporate precision cancer care. Technology and artificial intelligence, in particular, have the potential to improve clinical decision-making.
It’s time to gear our machine learning tools to this data so that people with chronic illnesses—and especially, complex chronic conditions—can get the same kind of recommendations that they use every day to pick their movies or music or buy goods on the Internet.