In the USA, the FDA defines a rare disease as any disease that affects fewer than 200,000 Americans. It is estimated that 350 million people suffer from rare diseases worldwide. Mayur gave a talk on using AI to find rare disease. He spoke about how AI makes it possible to find rare diseases using AI on unstructured data. He also spoke about how Droice technology makes it possible to identify these rare disease patient cohorts.
Champions of health, it was great to unite at #HIMSS19 to improve health using technology! For those of you not familiar with the event, it is a behemoth of healthcare IT conferences where you can connect with a wide variety of people from across the industry. After a non-stop week, it is now fantastic to reflect back on how great it was to meet so many people over the course of the conference.
At Droice, we use artificial intelligence to help clinicians make better decisions for individual patients. What treatment should a patient be given? Are there any potential complications? What tests need to be done? All of these (and many more) are examples of difficult, data-intensive questions that doctors must answer every day.
Patients on biologics and biosimilars present new challenges for emergency patient care. Complex critical patients require rapid access to useful data for complete care
Data science is a buzzy term not only in the technology sector but in the wider culture, as well. It has seeped into the common vernacular and promises increased insights and knowledge extracted from the vast quantity of data being generated every day.
The elemental complexity of emergency medical care leads to barriers that must be overcome for meaningful Emergency Medicine Artificial Intelligence (EMAI) to exist.
Close to half of all hospital-based health care delivered annually in the US is performed in emergency departments…
