Over the years, AI applications for healthcare have ignited innovation, collaboration and debate.
Clinical decision support, particularly in the area of medical image analysis, is one area where AI tools have been well received and seen a lot of adoption. It’s prompted much discussion on things like error rates and the impact it will have on radiology jobs in the future.
The patient perspective is also an important part of the discussion. Although many are supportive of their medical data being used to support advancements in healthcare, most people expect either to be consulted or a better balance between their needs, the needs of a technology company and of a healthcare organization, or both.
The latest eBook from MedCity News — AI in Healthcare: Scratching the Surface — highlights some of the collaborations that are taking place in healthcare and in drug development. It draws attention to some of the startups that seek to address some of the pain points in healthcare and industry insights on what needs to happen and what needs to be avoided for AI applications to be more widely adopted.
Also, click here to check out the library of eBooks we have put together on topics ranging from the startup landscape and clinical trial design to IPOs and how payers are working to adopt innovative health IT and treatments.
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