Medicin
AI is already an important part of medicine. Image analysis can support doctors in diagnostics, for example by identifying broken bones, or recognising different types of cells.
Can you see a fracture on an X-ray image:
Start the game and decide for each image if it shows a broken bone or not.
- How fast are you?
- Will you be faster if you try again?
- Are you faster than an AI system?
AI for classification of skeletal fractures
A common area for artificial intelligence in biomedical technology is the classification of various medical images. This game illustrates an application where AI is used to classify skeletal fractures on X-rays.
Initially, algorithms were trained to only detect bone fractures, just like in this game. Nowadays the research has developed, so that the AI can provide more detailed information about the fracture and, in addition, also rate how serious it is. This could then be used as a basis for deciding which treatment is most suitable for the patient. So far, this research has been done on hand, foot, and knee joints, but hopefully similar techniques can be developed in the future, scaled up, and used on more types of fractures. Utilizing AI for analysis on this type of X-ray could save time and avoid mistakes based on the human factor.
A new fracture is registered every seven minutes in Sweden and there is therefore a lot to gain from this type of algorithm.
AI could also be used to analyse many other medical images such as in the diagnosis of Parkinson's disease, caries, and tumour detection.