Share:
Peer-Reviewed Publication
J Pathol Inform2018;938.January 1, 2018Journal Article

Artificial Intelligence and Digital Pathology: Challenges and Opportunities.

Hamid Reza Tizhoosh1,2, Liron Pantanowitz3
1Kimia Lab, University of Waterloo, Canada.
2Huron Digital Pathology, Engineering Department, St. Jacobs, ON, Canada.
3Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA 15261, USA.

Abstract

In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manifest and tangible, there are clearly many challenges that need to be overcome in order to exploit the AI potentials in computational pathology. In this paper, we…

Create a free account to keep reading

Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.

Want unlimited research access? See Pro plans

Data Accuracy Notice: Research intelligence on Health AI Central is aggregated from public sources (PubMed, ClinicalTrials.gov, FDA, NIH, CMS, and others) and refreshed nightly. Classifications and derived metrics are produced by automated methods described in our Methodology. We recommend verifying critical data points against the primary sources before making decisions.