News & Events

Two research papers that propose novel approaches for adapting deep learning to overcome challenges in healthcare and pathology image analysis got accepted at the prestigious conference.

AIRA Matrix succeeds again in global challenges for developing AI applications in healthcare: First place in the detection and segmentation of the optic disc and fifth overall in the ISBI 2020 Age-related Macular Degeneration challenge. The Automatic Detection challenge on Age-related Macular degeneration (ADAM) asked for the development and testing of existing and novel automated fundus classification and segmentation methods related to Age-related Macular Degeneration (AMD).

https://bit.ly/3aOALdb

The challenge involved automating the Gleason score, a highly reliable grading method for classifying the histologic characteristics of Prostate cancer. Our proposed deep learning algorithm will help improve the accuracy, precision and speed of Gleason’s scoring. These improvements, will enable better prognosis of prostate cancer and help guide the right therapies.

The challenge involved automating the Gleason score, a highly reliable grading method for classifying the histologic characteristics of Prostate cancer. Our proposed deep learning algorithm will help improve the accuracy, precision and speed of Gleason’s scoring. These improvements, will enable better prognosis of prostate cancer and help guide the right therapies.

AIRA MATRIX presents an informative session on optimizing preclinical pathology reporting using AI techniques. The session will familiarize participants with deep learning (DL) modules that help speedup complex workflow processes in toxicologic pathology.

AIRA MATRIX is pleased to announce the development of an Artificial Intelligence based image analysis solution for Rapid On Site Evaluation (“ROSE”) of EBUS-TBNA samples in collaboration with Dr. Suman Paul, Specialist Registrar in Respiratory Medicine, Warrington and Halton Hospitals NHS Foundation Trust.

AIRA MATRIX is pleased to announce that it will be hosting a session titled, “Demystifying Deep Learning for Pathologists” on June 25th, 2019 at the Society of Toxicologic Pathology (STP) 38th Annual Symposium.

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