AI is already being used for tasks such as image analysis, predictive analytics, patient monitoring and automated surgery. But in the near future, AI could also help doctors diagnose serious illnesses more easily and become an important tool for improving mental health care.
Fehmi Ben Abdesslem is a senior researcher in Artificial Intelligence at RISE. He has 20 years' experience as a data science researcher, working with many different types of data to generate new knowledge, particularly using machine learning.
"There are many potential benefits of using AI in medicine and healthcare, such as improving diagnostic accuracy and developing personalised treatment plans. AI can also be used as a tool for early detection of diseases and to improve efficiency in clinical settings," says Fehmi Ben Abdesslem.
Personalised care through AI
The development of AI has opened the door to new ways of conducting research studies. Image recognition, for example, has taken a giant leap forward in the last decade. Thanks to deep learning techniques, computers can now recognise objects with very high accuracy (see fact box).
Another area where AI can become a force for innovation – and perhaps ultimately help save lives – is mental health.
"For example, by allowing AI to sift through large amounts of data, doctors can get important clues about the type of medicine or therapy best suited to a patient, which could lead to a faster recovery. Because AI can be trained on huge amounts of data, we also hope that machine learning can be used to prevent suicide," says Fehmi.
A collaboration between Psykiatri Sydväst, Region Stockholm and RISE is investigating whether AI can improve cognitive behavioural therapy at the individual level. Using data from thousands of patients, AI will help a therapist assess the impact of therapy on the patient, with the aim of making it easier to individualise therapy early in the course of treatment. In addition, the team hopes that AI will be able to identify which patients may need more help after therapy.
Another example is a collaboration between RISE and the Faculty of Brain Sciences at UCL (University College London) in the UK, which used AI to compare the individual effects of different types of psychotropic drugs for bipolar disorder, using data from Sweden, the US, the UK, Taiwan and Hong Kong.
"At the moment, we don't know why one drug works better than another. By building machine learning models, we are investigating whether AI can recommend which drug is best for a person based on their specific condition."
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