Nordeatoppen: Useful with a break for listings – “2021 was a crazy year”

Charlie Taylor

AI in medical imaging technology

Published: 21 June 2022, 11:15 Updated: 7 July 2022, 10:34Dr. Christian Stoeckigt, Head of Scientific Affairs & Medical Education at Hologic, believes that there are still a number of challenges for AI in medical imaging to reach its full potential. In recent years, we have seen more and more breakthroughs in the application of artificial intelligence, AI, in medical imaging technology. This applies, for example, to AI-supported evaluation of digitized images in mammography and detection of tumor cells in prostate tissue, but also digital cytology in screening for cervical cancer. Microsoft has developed machine learning techniques that help clinicians plan radiation therapy 13 times faster1, while Google Health has made great strides with AI tools both to predict conditions that threaten vision and to improve the detection of lung cancer2 – examples that show how AI can enable transformative diagnostics.Create acceptance among patientsIncreased knowledge about AI and its positive effects on care is crucial for patients to be able to accept AI as part of their diagnosis. Christian Stoeckigt believes that those who work in healthcare can play an important role by informing patients about, for example, how AI-supported diagnostics can contribute to faster and safer results.2. Build trust within the clinicCollaborating with radiologists, pathologists and cytodiagnostics will be crucial. Clinics play a key role in identifying unusual cases and exposing them to the algorithm so that it can continue to be refined continuously. In return, the clinics will gradually gain more confidence in the results that AI provides them with. One of our customers, a laboratory in Germany, tested the AI-controlled diagnostics with a microcarcinoma. In just a few minutes, the algorithm had identified a small number of abnormal cells that had not been detected with conventional technology – which further strengthened the clinicians’ confidence in the system.Clear and unambiguous rulesMost experts in the field agree that we need greater clarity and consensus from governments around the world to decide on a regulatory strategy for AI. One of the biggest breakthroughs in recent times was the US Food and Drug Administration’s changing FDA regulations and how this addresses AI, which provides more guidance on how AI systems can be trained. This is a welcome change that many of us who work in the AI ​​field would like to see in other regions.Read more about our systems 4. A protective frameworkIt is a reality that people make mistakes, but we must also consider what happens when AI is involved in misdiagnosis and navigate issues of accountability. We need a multidisciplinary working group of cytologists, radiologists, oncologists, clinics and ethics and IT experts who can develop protocols to protect AI systems.What happens next?Once these four areas have been thoroughly addressed, we will see a broader use of AI-driven diagnostics. AI has the power to deliver more efficient triage of patients so that they get the care they need faster, and more individualized treatment for better patient outcomes. Even more exciting is the prognosis, where AI will be able to predict which people are more likely to develop certain cancers. It is innovations of this kind that stimulate our research – and that can save even more lives.REFERENCES 1 Oktay O, Schwaig- hofer A, Carter D, Bris- tow M, Alvarez-Valle J, Nori A, Microsoft Research blog [Internet]. Cambridge: 2020 Nov 30 [cited 2021 Jun 17]. Available from: www.microsoft.com/ en-us / research / blog / project-inne- reye-evaluation- shows-how-ai-can -augment-and-accel- erate-clinicianstabili- ty-to-perform-radio – therapyplanning- 13-times-faster. Accessed 30 June 2021 2 Google Health. AI-enabled diagnostics previously thought impossible [Internet]. Mountain View: Google [cited 2021 Jun 17] Available from: https://health.google/ healthresearch / imag- ing-and-diagnostics /. Accessed 30 June 2021 MISC-07710-NO_EN_001_02The article is produced by Brand Studio in collaboration with Hologic and not an article by Dagens industri

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