Few fields have undergone as many changes and evolved as much as medicine – from the first simple prosthetic limbs in ancient Egypt to the first catheter-based heart valve replacement in 2002. Countless courageous scientists and thought leaders have made this progress possible. What they all had in common: they used contemporary technology to help people.
And so have you: drawing on artificial intelligence, you have succeeded in developing a computer system that supports medical professionals in the rapid initial diagnosis of AML and can recognise a mutation that is important for the course of the disease.
AML, short for acute myeloid leukaemia, is the most common form of rapidly progressing blood cancer in adults. If left untreated, it leads to death, and a cure is difficult even with the most modern therapies.
An important key to successful treatment is to detect the disease as early as possible. With this knowledge in mind, you set to work teaching an AI with over 1,500 digitised image data of bone marrow smears to distinguish degenerate from healthy cells. With the goal of using technology for the benefit of humanity, you hand-framed over 90,000 individual cells – as a basis for the machine learning process.
The result: a system that can distinguish an AML patient’s bone marrow smears from a healthy person’s sample with a probability of over 95 per cent.
A silver lining for people with AML.
For this, dear research team of the National Centre for Tumour Diseases Dresden (NCT/UCC), the University Hospital Carl Gustav Carus Dresden and the TU Dresden, you get the Golden Like from us. For this and for further proof of what is possible with technology when one knows how to use it.
Source: Fotostudio Koch
Many thanks for the Golden Like! We are looking forward to further improving the treatment of leukaemia patients with our AI-based image recognition system and to rapidly implementing technological advances for the benefit of patients. Awards like these encourage us in our research and help to link information technology and medicine even more closely.
Dr. med. Jan Moritz Middeke, University Hospital Carl Gustav Carus Dresden
Data and AI can benefit the health system in many different ways. You can find more examples here:
In our format "The Golden Like", we regularly honour individuals or institutions with a short eulogy who, in our eyes, have earned special praise for their achievements or where the appreciative thank you is far too often neglected.