Artificial intelligence: Algorithms improve medical image analysis
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Jun-2025 00:10 ET (21-Jun-2025 04:10 GMT/UTC)
Artificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis, where researchers of Karlsruhe Institute of Technology (KIT) were ranked fifth. The seven best autoPET teams report in the journal Nature Machine Intelligence on how algorithms can detect tumor lesions in positron emission tomography (PET) and computed tomography (CT). (DOI: 10.1038/s42256-024-00912-9)
Steroid hormones are among the most widespread aquatic micropollutants. They are harmful to human health, and they cause ecological imbalances in aquatic environments. At the Karlsruhe Institute of Technology (KIT), researchers have investigated how steroid hormones are degraded in an electrochemical membrane reactor with carbon nanotube membranes. They found that adsorption of steroid hormones on the carbon nanotubes did not limit the hormones’ subsequent degradation. A report on their work has been published in Nature Communications (DOI: 10.1038/s41467-024-52730-7).
One or two doses of psilocybin, a compound found in psychedelic mushrooms, may improve the mental health of cancer patients when accompanied by psychotherapy, a new report suggests. A second new study found that treatment with psilocybin resulted in lasting, positive personality changes in patients with alcohol use disorder.
A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is published in Nature Medicine.
Researchers at University of Iowa Health Care and colleagues at Texas Biomedical Research Institute and Boston University, have traced a cellular route Ebola virus (EBOV) uses to traverse the inner and outer layers of skin and emerge onto the skin’s surface. The study identifies new cell types within the skin that are targeted by EBOV during infection and shows that human skin specimens actively support EBOV infection. Overall, the findings, suggest that the skin’s surface may be one route of person-to-person transmission.
A new study by Peking University researchers links smoking to an increased risk of developing chronic kidney disease, particularly in its advanced stages. The study, published in Health Data Science Journal, emphasizes smoking cessation as a key preventive measure for kidney health.