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Within psychological treatment, it is important to determine if the patient is receiving the right kind of therapy early on. Viktor Kaldo is set to study if artificial intelligence, AI, can help us with this.

Although mammography has dramatically reduced mortality rates for breast cancer, current technology still misses almost one third of cases. There is also a serious shortage of radiologists. Researchers believe that these problems can be solved with AI.

Researchers at ̽»¨¾«Ñ¡ and SciLifeLab have combined artificial intelligence (AI) techniques used in satellite imaging and community ecology to interpret large amounts of data from tumour tissue. The method could contribute to more personalised treatment of cancer patients.

Cardiovascular disease is one of the most common causes of death in the world. Researchers at ̽»¨¾«Ñ¡, among others, have found that AI could be used to idenity the risk of cardiovascular disease. The study may contribute to developing to more accurate diagnostic methods.
 

Machine learning should not be regarded as a scientific discipline. Instead, it is a tool for answering the scientific questions of other disciplines. This according to Carl Henrik Ek, visiting professor at ̽»¨¾«Ñ¡â€™s Department of Clinical Science and Education, Södersjukhuset (KI SÖS).

Ultrasound has evolved into a very powerful ̽»¨¾«Ñ¡ imaging technique. Elisabeth Epstein researches how it can improve diagnostics for gynaecological diseases, including the use of artificial intelligence, AI.

Johan Lundin is using mobile digital solutions and artificial intelligence to make diagnostics accessible, safe, and accurate in low-income countries. The tools he is developing can also reduce the workload of doctors and laboratory personnel in high-income countries.

Johan Hartman is developing new diagnostic methods for predicting therapeutic responses and judging relapse risk in cancer. The methods range from patient-derived three-dimensional tumour models to AI-aided risk assessment.