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Vinnova (the Swedish governmental agency for innovation systems) is to finance the project "For efficient and sustainable use of health data through the integration of the DIGITAL-projects and GMS in Sweden (DIGIfor1healthSE)" with a grant of SEK 12 million over a period of four years. The project, which is designed to gather Sweden’s expertise on health data, involves TEF-Health at Karolinska Institutet and has SciLifeLab as the national coordinator.

Researchers at Karolinska Institutet 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, presented in the journal Nature Communications, could contribute to more personalised treatment of cancer patients.

In recent years, there have been rapid advancements in the field of computational pathology, which refers to the application of computational methods in pathology workflows. Traditional pathology involves the study of diseases by examining tissues, organs, and bodily fluids. In computational pathology, digital pathology images are analyzed using computer algorithms to extract meaningful information.

Cardiovascular disease is one of the most common causes of death in Sweden and in the world. Researchers at Karolinska Institutet, among others, have now found that artificial intelligence seems to play a role in identifying the risk of cardiovascular disease. The study, published in Cardiovascular Research, may in the future lead to more accurate diagnostic methods.

Karolinska Institutet has decided to award Johan Hartman and Mattias Rantalainen the 2023 Prize for Innovation and Utilization. They are rewarded for improving cancer diagnostics with innovative research and inspiring working methods.

While there are currently a dozen approved AI systems for breast cancer screening, it has been difficult to evaluate their clinical performance objectively. Now, however, there is a Swedish validation platform ready to compare how well AI systems detect signs of breast cancer – and its development has been led by researchers at Karolinska Institutet.

Prostate cancer is a major global health concern and is the most common cancer-related cause of death in Sweden. Prostate cancer screening using PSA reduces prostate cancer mortality but also leads to significant overdiagnosis and overtreatment of low-risk cancers. The pathological evaluation of prostate biopsies determines the therapeutic course of treatment for prostate cancer patients.

Researchers at Karolinska Institutet, the Centre for Imaging Research (CIR), SciLifeLab, and RISE have together received a grant of over SEK 100 million from the European Commission's Digital Europe programme. The project, called TEF-Health, will, among other things, promote the rapid introduction of new artificial intelligence (AI) and robotics solutions in healthcare.

Two researchers at Karolinska Institutet have been awarded the Athena prize for an AI-based image analysis in precision medicine for risk classification of breast cancer patients. The Athena Prize is Sweden's largest prize for research and innovations that have been produced through collaboration between healthcare, academia and industry.

KI researchers have together with international collaborators completed a comprehensive international validation of artificial intelligence (AI) for diagnosing and grading prostate cancer. The study, published in Nature Medicine, shows that AI systems can identify and grade prostate cancer in tissue samples from different countries equally well as pathologists. The results suggest AI systems are ready to be responsibly introduced as a complementary tool in prostate cancer care, researchers say.

Can artificial intelligence (AI) overcome the challenges of precision medicine? We asked Magnus Boman, professor at KTH and affiliated to KI, whose research includes looking at how AI can be used in healthcare.

Researchers at Karolinska Institutet and Karolinska University Hospital in Sweden have compared the ability of three different artificial intelligence (AI) algorithms to identify breast cancer based on previously taken mammograms. The best algorithm proved to be as accurate as the average radiologist. The results, published in JAMA Oncology, may lead the way in reorganising breast cancer screening for the future.

A new digital tool that tailors specific questions based on a patient's medical history could improve the safety of diagnosis and effectiveness of care, according to a new study at Danderyd Hospital and Karolinska Institutet published in BMJ Open.

Many jobs, medical and otherwise, might one day be performed using artificial intelligence. According to a new study in Acta Orthopaedica by researchers at Karolinska Institutet in collaboration with the Royal Institute of Technology and Danderyd Hospital in Sweden, self-learning programmes can already find fractures with the same accuracy as orthopaedists.