Medical AI

Unleashing the full potential of Artificial Intelligence in the field of medical sciences means more accurate diagnoses, faster, and with greater efficiency. The use of AI and advanced data analytics will greatly benefit many areas of medical research. Elderly care, mental healthcare, preventive dental care and telemedicine applications are all set to gain from the new methodology. But the benefits of developing new technology reach further than improving treatments for specific diseases and conditions, like Parkinson’s. Advances in AI mean also great strides for the healthcare industry in general.

The University of Oulu is doing state-of-the-art research in utilizing AI in analyzing knee X-rays in order to provide more systematic and structured reporting on osteoarthritis that is easy to interpret. The AI method is robust and already performs at a similar level or better than a single radiologist. For the patient, this has multiple benefits. Ultimately, the patient will receive a more accurate diagnosis much faster than what is possible at the moment. Not only will they be able to plan for recovery armed with better information, but the method allows the prediction of disease progression for patients. This is not possible with current clinical techniques. As the AI-based method allows the prediction of the progression of osteoarthritis, the population at large will benefit greatly. This will have a large impact on society in general and the pharmaceutical industry specifically. 

Another example of the benefits of AI methodology in examining and interpreting X-rays is the detection of abnormalities in chest X-rays. Chest radiography is the most common X-ray study and therefore in a position to be greatly improved by the increased efficiency, accuracy and speed that AI-based methods provide. 

The use of AI in the field of medicine requires large amounts of well-annotated data. With the collection and utilization of patient data to be used in the training of such AI-based methods, privacy concerns are at the very heart of developing AI methodology. Currently there is a newer generation of methodology that is being developed with these concerns in mind.

 

 

Key researchers

14.5.2018 Researcher

Simo Saarakkala

13.6.2018 Researcher

Miika Nieminen

9.11.2017 Researcher

Seppo Vainio

8.4.2019 Researcher

Juha Röning

22.1.2019 Researcher

Aleksei Tiulpin

22.1.2019 Researcher

Egor Panfilov

28.4.2017 Researcher

Johanna Uusimaa

25.6.2020 Researcher

Neslihan Bayramoglu

22.11.2017 Researcher

Jari Iinatti

31.10.2017 Researcher

Matti Hämäläinen