Blogs
From the Proscia Blog: By Ajay Basavanhally Machine learning models are revolutionizing cancer outcome predictions by analyzing vast amounts of patient data to identify patterns and insights that traditional methods often miss. However,...
Deciphex chief Donal O’Shea says digital pathology can improve diagnoses of disease in rich and developing countries alike The hype cycle for AI is unrelenting. It sometimes seems as though every second company is claiming its...
United Kingdom – Diagnexia UK Limited is delighted to announce its recent accreditation to ISO 15189:2022 for their digital pathology service, a globally recognised standard for medical laboratory requirements for quality and competence....
Key takeaways Avoiding workflow bottlenecks: Processing ~1,200 slides daily, Radboudumc faces the challenge of maintaining high-quality WSIs without disrupting efficiency. A comprehensive manual artifact inspection would require...
Lunit: European Journal of Radiology Publishes Study Highlighting 77% Reduction in Triage Time Lunit announced on Dec. 26 that a study demonstrating the significant reduction in time required for emergency patient triage using their AI...
A study from PreciseDx showed that its artificial-intelligence-guided pathology test could help predict a patient’s chances of their breast cancer returning on par with a leading genomic approach. Working with real-world cancer data company...
