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Artificial intelligence

New tool to predict ICU admission and discharge

August 5, 2020


Guido MathewsTORONTO – Hospital Intensive Care Units (ICUs) cater to patients with severe illnesses requiring constant monitoring and specialized treatment, including ventilation. Pandemics like COVID-19 significantly increase the risk of ICU overcrowding given the surge in patients, which can negatively impact the quality of care. As a result, an early understanding of a patient’s unique treatment journey, including their ICU requirements, is critical to improved treatment and better management of ICUs. Read More

AI platform tracks changes in COVID-19 virus

June 17, 2020


Bo WangTORONTO – A team of healthcare professionals, led by Dr. Bo Wang (pictured), artificial intelligence (AI) lead at the Peter Munk Cardiac Centre, have designed an innovative tool which enables researchers to track changes in the genetic structure of the SARS-CoV-2 virus, responsible for the onset of the COVID-19 global pandemic. Read More

Can AI diagnose COVID-19 using ultrasound?

June 3, 2020


Dr Robert ArntfieldLONDON, ON – Researchers at Lawson Health Research Institute are investigating whether an artificial neural network could be used to diagnose COVID-19. The AI system is being trained to learn and recognize patterns in ultrasound lung scans of patients with confirmed COVID-19 at London Health Sciences Centre (LHSC) by comparing them to ultrasound scans of patients with other types of lung infections. Read More

Funding of projects to help Canada weather crisis

May 6, 2020


Helene DesmaraisMONTREAL – Faced with the urgency posed by COVID-19, Scale AI recently launched a call for projects that can help Canada meet this challenge by leveraging technology and artificial intelligence (AI). The challenge resulted in more than 120 projects being submitted in just three weeks. Eight of these projects have already passed all the stages of analysis and approval, and are being announced today, representing a total investment of over $3.4M. Read More

Recommendations to prepare docs for tech changes

April 29, 2020


Dr Richard ReznickOTTAWA – The Royal College of Physicians and Surgeons of Canada’s Task Force on Artificial Intelligence (AI) and Emerging Digital Technologies unveiled twelve foundational recommendations on how we can prepare the physicians of today – and tomorrow – for the massive technological changes coming to their practice. Read More

Cloud-based AI being used to improve health outcomes and processes

By Dr. Shez Partovi

March 30, 2020


When it comes to advancing the health of Canadians, there’s no question that artificial intelligence (AI) and machine learning will be driving care innovation in 2020. From personalizing the patient health journey to accelerating precision medicine, AI and machine learning tools are supporting clinicians with data-driven insights to improve health outcomes and the patient experience. Read More

Imagia partners with top Canadian and US hospitals

December 18, 2019


Frederic FrancisMONTREAL – Imagia, a leading healthcare AI company that unites healthcare expertise and advanced AI technology to improve patient outcomes, has announced EVIDENS partnerships with the following major North American hospitals: Center hospitalier universitaire de Québec - Université Laval, Centre intégré universitaire de santé et de services sociaux de l’Estrie – Centre hospitalier universitaire de Sherbrooke, Jewish General Hospital (JGH), the McGill University Health Centre (MUHC) and its Research Institute (RI-MUHC), Penn Medicine, and the University of Montreal Hospital Centre (CHUM). Read More

Partners invest $2.6 million in AI to fight cancer

December 18, 2019


Dr Renaldo BattistaMONTREAL – The Oncopole, the MEDTEQ Consortium, the TransMedTech Institute and the Cancer Research Society – as part of the joint Onco-Tech Competition – are proud to announce a $2.6 million investment to support innovative projects in oncology and in medical technologies. Read More

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News and Trends

  • Quebec to invest nearly $1 billion in health IT
  • Seven Ontario organizations launch region-wide EHR system
  • Point-of-care lab technology speeds up bloodwork
  • Progress in e-mental health will require clinician training
  • Technology must be simple to use to solve complex problems
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