web analytics

Kimia Lab and Huron at Pathology Visions 2020

Kimia Lab and Huron at Pathology Visions 2020

Monday, October 26 | 9-9:45am PTLive Q&A: 9:45-10:05am PT In this pre-conference workshop, Huron Digital Pathology’s CEO, Patrick Myles, and their AI advisor, Professor Hamid Tizhoosh, will illustrate how Huron’s LagottoTM image search platform has been designed to integrate seamlessly into existing and emerging digital pathology workflows, describing several workflow scenarios. Attendees will learn the following: How does WSI indexing work? What file formats does Lagotto […]

Read More

UW Professor on The Pathologist’s “Power List 2020”

UW Professor on The Pathologist’s “Power List 2020”

UW’s Hamid Tizhoosh is among the 20 pathologists and computer scientists listed in this year’s “Power List” of The Pathologist who achieved  Big Breakthroughs, “ trailblazers working at the cutting edge and driving forward the future of the field”. The magazine collects nominations from the pathology community. An expert panel selects the distinguished physicians and researchers based on their track record and achievements in the field. […]

Read More

Kimia Lab Students publish and present at ECCV and CVPR

Kimia Lab Students publish and present at ECCV and CVPR

A novel method developed by graduate students from Kimia Lab, Waterloo Engineering, Mohammed Adnan (1st-year MASc.), and Shivam Kalra (2nd year Ph.D.) has the potential to have a major impact in histopathological image analysis and cancer diagnostics. Their technique uses artificial intelligence (AI) to render digital representations of extremely high-resolution biopsy images. These digital representations can be used for real-time image search, providing critical information to pathologists for well-informed and […]

Read More

Diagnostic consensus for cancer is possible through image search using AI

Diagnostic consensus for cancer is possible through image search using AI

Pan-cancer diagnostic consensus through searching archival histopathology images using artificial intelligence A new system combining artificial intelligence (AI) with human knowledge promises faster and more accurate cancer diagnosis. The powerful technology, developed by a team led by engineering researchers at the University of Waterloo, uses digital images of tissue samples to match new cases of suspected cancer with previously diagnosed cases in a database. In […]

Read More

Kimia Lab Presents Posters at USCAP 2020

Kimia Lab Presents Posters at USCAP 2020

The USCAP 109th Annual Meeting United States and Canadian Academy of Pathology (USCAP) will hold its 109th Annual Meeting for the first time in Convention Center Los Angeles, California, February 29-March 5, 2020. Kimia Lab will present posters on Detecting Specimen Contamination in Whole Slide Imaging Using Artificial Intelligence and Automatic Assessment of Tumor Cellularity in Histopathology Images Using Weakly-Supervised segmentation. Poster VI – Wednesday March […]

Read More

Shopify Data Talks – The History of AI

Shopify Data Talks – The History of AI

Welcome to the first of the Shopify Data Talks series! Join us with Dr. Hamid Tizhoosh as he takes us through the past, present, and future of AI. Tackling questions like when was modern AI born?, why did AI experience a renaissance?, what happens next?, and what should we do now? We will be gathering at Shopify’s 57 Erb St. location in Waterloo with time for networking, drinks, […]

Read More

Artificial intelligence to give Toronto doctors a 2nd opinion

Artificial intelligence to give Toronto doctors a 2nd opinion

Physicians may soon be able to get a second opinion on your diagnosis from a form of homegrown artificial intelligence (AI). Toronto’s University Health Network (UHN) is teaming up with researchers at the University of Waterloo and the Vector Institute to develop software that can read and provide feedback on medical images like x-rays and ultrasounds. The groundbreaking technology is specifically aimed at assisting radiologists […]

Read More

AI system more accurately identifies collapsed lungs using chest x-rays

AI system more accurately identifies collapsed lungs using chest x-rays

WEDNESDAY, OCTOBER 16, 2019 Toronto, Ontario, Vector Institute’s Evolution of Deep Learning Symposium. New assistive technology can diagnose collapsed lungs from chest x-rays with a higher degree of accuracy than radiologists. The system, developed at the University of Waterloo, uses artificial intelligence (AI) software to search a huge database of x-ray images with known diagnoses for comparison to x-rays of new patients with unknown conditions. […]

Read More

Searching Is Intelligence

Searching Is Intelligence

August 20-22, 2019 Washington DC. Professor Hamid Tizhoosh will deliver a talk on AI Solutions for Medical Imaging at the NextGen Dx Summit in Washington DC. Image search has emerged as a very promising application of artificial intelligence. He will talk about different challenges of digital pathology and what AI algorithms could offer. Whereas most works focus on classification and segmentation, this talk will attempt […]

Read More

Vector Institute funds Pathfinder Project at Kimia Lab

Vector Institute funds Pathfinder Project at Kimia Lab

The Vector Institute, an independent, not-for-profit research institute focused on leading-edge machine learning, announced the second in its series of Pathfinder Projects to implement Artificial Intelligence (AI) in the health sector. The second Pathfinder Project, performed in partnership with the University Health Network (UHN) and the University of Waterloo will enhance radiology diagnoses with AI. Coral Review, a software solution developed at UHN, is a peer learning […]

Read More
error: Content is protected !!