Cancer symptom algorithm assists clinicians in foreseeing emergency hospital visits
A study shows how using a cancer symptom algorithm aided clinicians in predicting which patients are at high risk for unplanned emergency department visits
A study shows how using a cancer symptom algorithm aided clinicians in predicting which patients are at high risk for unplanned emergency department visits
Improving post-treatment surveillance of lung cancer patients
Hartford Healthcare in research initiative using AI to help pathologists with cancer diagnosis
Biotech company, Delfi Diagnostics, develops machine learning-based blood testing technology that can detect early stages of lung cancer
Data from the 100,000 Genomes Project in Genomics England’s National Genomic Research Library used to develop new AI-driven model
Tool will facilitate the recording of comparable cancer staging data worldwide via simplified software that harnesses new digital technology
A new artificial-intelligence-based tool has been developed to predict genomic subtypes of pancreatic cancer
Researchers at Toronto’s Princess Margaret Cancer Centre reveal positive impact of deploying AI for radiation cancer therapy in a real-world clinical setting
AI and machine learning create an ‘e-nose’ that can identify hard-to-detect forms of cancer with up to 95% accuracy