Biomedical AIntrepreneurship update and challenges – Innovation Excellence

Biomedical AIntrepreneurship describes the practice of creating AI products and services to solve bioscience (drugs and devices) and clinical problems. As such, it is the pursuit of opportunity under conditions of uncertainty with the goal of creating user defined value through the design, development and deployment of biomedical innovations that use a predominantly AI backbone, platform or foundation that have a VAST business model. It is a subsegment of digital health products and services.

13. Convergence of AI into medical device and biopharma Current emerging applications appear to fall into three main categories:

Management of chronic diseases – Companies are using machine learning to monitor patients using sensors and to automate the delivery of treatment using connected mobile apps (Example: Diabetes and automated insulin delivery).

Medical imaging – Companies are integrating AI-driven platforms in medical scanning devices to improve image clarity and clinical outcomes by reducing exposure to radiation (Example: GE Healthcare CT scans for liver and kidney lesions).

As artificial intelligence projects roll out, organizations will need to rethink the definition of the “work” that people will do. The future of work will become one of the largest agenda items for policy makers, corporate executives and social economists, says Sanjay Srivastava, chief digital officer at Genpact, a professional services firm focusing on digital transformation. Here are some of the key issues.

In addition, as part the 4th industrial revolution, AIntrepreneurs are creating a sick care environment that will challenge how we educate medical trainees and computer and data scientists to work together and figure out how to overcome the barriers to AI dissemination and implementation, the IoMT challenges and the legal, economic, societal and ethical hurdles.

The implications of the convergence of AI with other technologies in multiple industries are vast. However,the value remains to be demonstrated. What is clear is that AI is the latest shiny new object on the block and will continue to grow, and, hopefully, realize its potential to reduce costs, improve outcomes and efficiencies and the doctor and patient experience.Innovation starts with mindset and there is nothing artificial about that.

Image Credit: Pixabay

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Arlen Meyers, MD, MBA is the President and CEO of the Society of Physician Entrepreneurs at www.sopenet.org and co-editor of Digital Health Entrepreneurship