AI in Medical Diagnostics

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Publication Date:
December 2019
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Evaluating the potential of artificial intelligence to revolutionise and expand medical diagnostics

Artificial intelligence (AI) driven technologies have already radically changed practice and outcomes in medical imaging and pathology—so where next for this disruptive technology? From pre-screening of patients via chatbots to influencing surgical procedures, artificial intelligence will help accurately diagnose and treat diseases, improve patient experience, facilitate medical information sharing and improve diagnostic efficiencies. Sounds great—so what are the issues and challenges medical and technology developers need to address to fully realise the potential AI in medical diagnostics?

To answer this question we interviewed, in AI in Medical Diagnostics, knowledgeable experts to give you a clear perspective of how AI is currently being employed, to explore future development pathways and to examine the operational challenges that must be overcome.

AI experts explore the medical diagnostic landscape

  • How will AI-driven technology expand the use medical testing, particularly in hard to diagnosis conditions and hard to reach communities?
  • What are the technology platforms and programs that are driving the adoption of AI in medical diagnostics?
  • What are companies doing to progress AI development in the face of data sharing, data privacy and cybersecurity regulations?
  • Will patient pre-screening technologies such as chatbots have a major role to play in the future of medical diagnostics and if so, why?
  • What communication strategies can help ease fears of sceptical healthcare professionals?

What our experts say…

"We are all presented with this great technology and everybody is leveraging it. It's either you adopt it, or you're beaten by the competition. It's really a question of "Why not adopt AI?" You need to grab the bull by the horns or somebody else is going to beat you to it."
Ron Kamienchick, Teva

"Whether it is a simple blood test, imaging, molecular diagnostic, or other forms of diagnostics, there's no way to avoid AI's future roles. We can imagine that AI assisted insights from blood sample, imaging scan, genetic testing and patient vital signs can give future doctors precise diagnostics and treatment recommendations, based on every patient's specific individual condition. AI diagnostics is already a reality today, as companies launch AI products either focusing on singular modality test or on cross-modality information integration. We are already seeing primary care and diabetes clinics capable of offering ophthalmology tests, as AI eliminates the need for dilation and specialized graders for retinal images. In the next 10 years, patients could even do various self-testing at home, become informed about likely clinical problems they have, and seek early and specific medical help."
Frank Cheng, Eyenuk

"AI can process and analyse data on a greater scale than what people can handle, and it can do it consistently even in a high intensity, stressful situation. AI is less likely to miss things in the data than a human, but it lacks human intuition, and will not replace healthcare professionals. A Doctor can stand in front of the patient and say, "I've seen one case like this before." AI is not necessarily going to pick up on the one case, even if it is in the dataset. There is compatibility between clinical expertise and AI, to integrate the knowledge and insights from the medical professionals with AI to reduce medical errors and improve diagnosis."
Rebecca Laborde, Oracle Health Sciences

"To the question of will AI replace doctors, we say, probably not. But doctors who use AI will replace doctors who don't use AI."
Alex Triener CEO, Brainstorm Medical

What to expect

  • A detailed report which explores the growing use and potential of artificial intelligence to drive radical change across medical diagnostics and the issues and challenges developers must overcome
  • An examination of 6 key issues which medical companies need to understand and respond to.
  • 24 targeted questions put to AI experts.
  • Their perceptive responses that provided 23 insights supported by 73 directly quoted comments.

Expert contributors

The report harnesses critical insights and opinions from experts whose experience includes at least three years' experience with a leading medical diagnostic company and involvement in implementing AI based solutions within the medical diagnostics sector.

  • Alex Triener, CEO at Brainstorm Medical, based in San Diego, California, USA. Brainstorm Medical develops an AI software platform for clinical decision support in cardiology, cardio-oncology and emergency medicine.
  • Rebecca Laborde, Global Lead Product Strategist for Healthcare and Precision Medicine in the Oracle Healthcare Global Business Unit. In her role, Rebecca works directly with thought leaders in the fields of healthcare and research to inform the development of products to support the current and future direction of healthcare initiatives.
  • Ron Kamienchick, Senior Director, Digital Health, Teva. Ron focuses on commercialization efforts for Teva's Connected Respiratory, primarily ProAir Digihaler. The role involves partnering with the various players in the US healthcare system, as well as identifying commercial partnerships with tech companies and disruptive start-ups in the healthcare space.

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