Mg Stroke Analytics Inc.

Circle Cardiovascular Imaging Inc.

Other

Circle Neurovascular Imaging Inc.

Bijoy Menon Professional Corporation

M and S Goyal Professional Corporation

Supriya M Goyal Professional Corporation

Michael D. Hill Professional Corporation

Andrew Demchuk Professional Corporation

Bijoy K Menon

Mayank Goyal

Andrew Michael Demchuk

Michael Douglas Hill

Ting Yim Lee

Seonghwan Ahn

Wu Qiu

Alireza Sojoudi

The invention relates to systems and methods for predicting ischemic brain tissue fate from multi-phase CT-angiography. More specifically, systems and methods are provided that enable meaningful prediction of core, penumbra and perfusion from mCTA images using software that has been trained via machine learning to interpret mCTA images.

System and methods of prediction of ischemic brain tissue fate from multi-phase CT-angiography in patients with acute ischemic stroke using machine learning

The invention relates to systems and methods to assist physicians in decision making for stroke patients. In particular the systems and methods can be used to assist physicians to decide on whether a patient with an acute ischemic stroke has a large vessel occlusion (LVO) and should be transferred from a community hospital to a larger hospital to undergo an endovascular thrombectomy procedure.

System and methods for assessing presence of large vessel occlusion to aid in transfer decision-making for endovascular treatment in patients with acute ischemic stroke

An automated system and method for assisting in decision making for the treatment of stroke patients is provided, and specifically for assisting a physician whether the patient should be administered a drug or transferred to another hospital to undergo an endovascular thrombectomy procedure. A variety of factors are input into the system with limited human intervention and a tool automatically determines the probability of whether the patient will have a better outcome if transferred or not. The factors include clinical factors, imaging factors and time to transfer factors. The tool includes processes for automatically determining several imaging factors, including the determination of clot length, collateral blood flow, the presence of forward blood flow within and around the clot, and the clot permeability. The tool has capability to continuously update the treatment protocol and other output results using current clinical, health system or other relevant information or feedback.

Decision support tool for stroke patients

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Calgary, Canada

Bijoy K Menon