The Business Case for AI in Healthcare I
If the first decade of digital health has taught us anything, it’s that having an innovative product does not necessarily mean success. There are many problems in healthcare and there are technologies today for many of those issues. So why are those technologies not being used to solve those problems? Well, because bringing digital technologies […]
AI in Chronic Disease Management III
Chronic pain is another area that’s a source of significant morbidity for patients, leading to a high amount of use for healthcare resources. Its treatment often involves a variety of procedures and can lead to long-term narcotic addiction. Interesting areas that are being explored for the management of chronic pain include immersive experiences with virtual […]
AI in Chronic Disease Management II
In the last post, we discussed the collaboration between University of Utah Health, the Regenstrief Institute and Hitachi for the development of a new artificial intelligence approach that could improve treatment for patients with Type 2 diabetes mellitus. Pooling data from different institutions enabled an AI-based approach that groups patients with similar disease states and […]
AI in Chronic Disease Management I
Chronic disease management is complicated and onerous, both for the care team and for the patients. Most chronic disease management programs haven’t shown significant ROI. It’s a daily process that requires attention, follow-through, follow-ups, and ongoing communication. Most patients don’t have the time or patience for it and most care teams don’t have enough resources […]
AI in Precision Medicine II
AI can have a big impact in oncology through the analysis of genomics and mutations and matching those with the best treatment combinations and the right clinical trials. Tempus taps into clinical and biological data to create a digital twin and uses nearest neighbor analysis to find the best course of management. Another startup developing […]
AI in Precision Medicine I
Genomics is enabling more individualized treatment by providing insights into which genes contribute to various medical conditions. For example, scientists are currently using genomics to understand how COVID-19 spreads and affects the immune system. This information could help with vaccine development. A single human genome sequence generates between 300GB to 1TB of data. Technological […]
AI in Mental Health Therapeutics
We’ve already discussed how AI and mobile devices can be a powerful combination to remotely diagnose and monitor mental health conditions. The emerging digital biomarkers that can detect mood based on voice, activity and interaction with smart devices will be vital for the better diagnosis and management of mental health. It turns out that this […]
AI and Robotics
The use of robotics in healthcare isn’t new. The Davinci system has been used for various types of surgeries and the uses cases have been expanding for some time now. Recently, with the introduction of AI in healthcare and its expanding use cases, some interesting overlaps between these two areas are emerging. One of […]
Digital Therapeutics
DIGITAL THERAPEUTICS have gained momentum in recent years. What was once thought to be an adjunctive form of treatment at best and a toy at worst is now headed toward mainstream clinical practice. There are FDA-approved solutions for a number of conditions, including addiction, depression and PTSD. Some of these are prescription treatments and are […]
AI in Democratizing Care
AI may be able to make certain types of tests and therapeutics more available to a larger swath of the population because it could help frontline clinicians, like primary care doctors and nurse practitioners, to perform specialized testing like ultrasounds. That’s because AI can provide real-time guidance and feedback that will enable them to perform […]