A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine. The paper underscores the potential of AI to decode complex biological data with unprecedented speed and accuracy.

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep learning-driven tool for the precise and completely automated detection and monitoring of liver tumors (hepatocellular carcinoma).

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between routine screenings - before they become more advanced and harder to treat.

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches to build confidence in AI applications.

Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human observers. AI-assisted interpretation of brain scans may help improve care for children with brain tumors called gliomas, which are typically treatable but vary in risk of recurrence.

Each year, more than three million people worldwide are treated with stents to open blocked blood vessels caused by heart disease. However, monitoring the healing process after implantation remains a challenge. If the tissue growing over the stent develops irregularly - either becoming too thick or forming deposits - it can lead to complications, such as re-narrowing or occlusion of the blood vessel.

While artificial intelligence (AI) has shown promising potential, much of its use has remained theoretical or retrospective. Turning its potential into real-world healthcare outcomes, researchers at the Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine) have successfully utilised an AI platform to make precise recommendations for dose adjustments in 10 patients at the National University Cancer Institute, Singapore (NCIS) in Singapore.