Training AI to predict outcomes for cancer patients
Posted 30th March 2021 by Nicholas Noakes
Predicting the outcome of cancer can help the clinical decision-making process related to a patient’s treatment. The potential for Artificial Intelligence (AI) to support this was a key facet of the final keynote speech to the online 7th Digital Pathology and AI Congress: Europe, by Johan Lundin, Research Director at the Institute for Molecular Medicine Finland (FIMM) at the University of Helsinki and Professor of Medical Technology at Karolinska Institutet.
Bridging the gap between pathologist and algorithm
Posted 16th October 2019 by Liv Sewell
Could AI replace pathologists? As we look forward to the 6th Digital Pathology and AI Congress: Europe on the 5th – 6th December 2019, we look back at Dr Hamid Tizhoosh’s keynote presentation from last year.
Deep Learning in Digital Pathology
Posted 2nd February 2018 by Jane Williams
“Deep Learning is an algorithm which has no theoretical limitations of what it can learn; the more data you give and the more computational time you provide, the better it is” – Geoffrey Hinton (Google)
Digital pathology and Artificial Intelligence in the precision medicine era
Posted 15th September 2017 by Jane Williams
In 2017, technological advances in cloud computing and artificial intelligence has pathology positioned to become one of the most talked about medical fields in healthcare.
