Analysing the potential of AI for classifying liver lesions in magnetic resonance imaging reports
A team of researchers from the Clínic-IDIBAPS have analysed the capacity of an artificial intelligence model to classify liver lesions after a magnet1
A team of researchers from the Clínic-IDIBAPS have analysed the capacity of an artificial intelligence model to classify liver lesions after a magnet1
Researchers from Hospital Clínic-IDIBAPS have coordinated a study comparing the efficacy of artificial intelligence-assisted colonoscopy versus high-1
The tool generates a report from an MRI that indicates whether patients could develop prostate cancer. The project has loaded on 3.7 million medical1
The use of artificial intelligence learning algorithms has led to the discovery of chemical structures that may be antibacterial without being toxic1
This study is an international collaboration coordinated by the Hospital del Mar Research Institute and the Hospital Clínic-IDIBAPS and published i1
Over 60 people took part in the activity, organised by the Sustainability Committee, which aims to work to reduce the harmful impact that research ca1
AIDPathology is an innovative artificial intelligence project led by the Anatomic Pathology Department of the Hospital Clínic de Barcelona in collabo1
Hospital Clínic de Barcelona chooses Aidoc’s AI to improve clinical outcomes and utilize the technology to train residents and empower them with AI e1
Researchers from the Hospital Clínic-IDIBAPS coordinated a study that made it possible to determine with an accuracy of 96% whether a kidney transpla1
The goal of the initiative is to explore the potential of new artificial-intelligence tools to improve current imaging solutions for cancer cases.