Spotlight on: AI in medicine and health
Artificial intelligence (AI) is being tested in several medical fields, such as identifying breast cancer from mammograms or making an initial assessment of patients in emergency care. But the potential applications are many – and research is ongoing to make AI both safe and useful in healthcare. Here we have collected some articles about researchers and research projects in this field at Karolinska Institutet.
Photo: Johan Jarnestad/Kungl. VetenskapsakademienThe Nobel Prize in Chemistry helps us understand the building blocks of life
The Nobel Prize in Chemistry 2024 was awarded to the researchers behind the AI tool AlphaFold2, which is used to quickly describe and map proteins – the building blocks of life. KI researchers Luca Jovine, Per Svenningsson and Marcus Saarinen explain why the awarded discoveries are so important.
Photo: Martin StenmarkAI researcher Max Gordon: "AI can do the boring things"
The 2023 AI Swede of the Year feels no need to be at the center of research. Yet that is exactly where he is. The orthopaedic surgeon and researcher Max Gordon was an early adopter of artificial intelligence. Now everyone else wants to know how to do it.
Photo: Rickard KilströmImproving diagnostic and therapeutic outcomes with AI
As the volume of clinical data increases, so does the amount and complexity of the work needed for a doctor to interpret them. Magnus Boman researches on how AI can be employed for healthcare-improving analyses.
Photo: Rebecka UhlinCan AI be useful to psychologists?
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.
Photo: Foto: Martin Stenmark.Using AI to diagnose breast cancer at an earlier stage
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 by artificial intelligence (AI).
Photo: Getty Images,Getty Images/iStockphotoAI model aids early detection of autism
A new machine learning model can predict autism in young children from relatively limited information. This is shown in a new study from Karolinska Institutet published in JAMA Network Open. The model can facilitate early detection of autism, which is important to provide the right support.
Photo: DDKIAI accelerates development of new drugs for brain diseases
AI, artificial intelligence, can be used to identify molecules with great potential to be developed into new drugs for mental illnesses, according to KI researchers, among others. A study, conducted on mice, shows that AI with high precision can contribute to more effective future treatments for conditions such as psychosis.
Photo: SciLifeLabMajor EU funding for development of AI in healthcare
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.
Photo: Getty ImagesAI can identify women with high risk of breast cancer in mammograms
The use of AI makes it possible for women with a high risk of breast cancer to be identified in mammography screening examinations so that the cancer can be caught earlier. An international research group led from Karolinska Institutet can now show that the method is effective in different European countries.
Photo: Getty Images.AI and precision medicine may find risk of cardiovascular disease
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 AI could be used to idenity the risk of cardiovascular disease. The study may contribute to developing to more accurate diagnostic methods in the future.
Photo: Getty Images,Getty Images/iStockphotoResearchers take new AI approach to analyse tumours
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.
Photo: Marianne LagerbielkeThe AI that listens to the patient
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.
More researchers in this area
Photo: Fotogruppen SösMachine learning a tool for medical research
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 Karolinska Institutet’s Department of Clinical Science and Education, Södersjukhuset (KI SÖS).
Photo: Erik FlygResearching ultrasound to improve gynaecological diagnostics
Ultrasound has evolved into a very powerful medical imaging technique. Elisabeth Epstein researches how it can improve diagnostics for gynaecological diseases, including the use of artificial intelligence, AI.
Photo: Ulf SirbornArtificial intelligence for medical diagnostics
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.
Photo: Stefan ZimmermanFinding the right treatment with precision pathology
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.