QML Neuroradiology QMLN Product Innovation for Alzheimer’s

Slides are available online: https://www.chemicalqdevice.com/qml-neuroradiology-qmln-product-innovation

Alzheimer's Disease Classification has seen promising results utilizing Hybrid Quantum Simulators in January 2023 and February 2022.

"Implementing Magnetic Resonance Imaging Brain Disorder Classification via AlexNet–Quantum Learning" Alsharabi, N., et al. Mathematics, 2023. https://lnkd.in/gS_X8p46
"Automated Detection of Alzheimer’s via Hybrid Classical Quantum Neural Networks" Shahwar, T., et al. Electronics, 2022.
https://lnkd.in/gcffyb5w

In the 2023 paper, a classical model (AlexNet) is used for training MRI Neuroimages, while a Quantum Variational Circuit (QVC) is used to generate vectors, with a fully connected layer performing a binary classification.
In the 2022 paper, a classical model (ResNet 34) is used for training MRI Neuroimages, while a Quantum Variational Circuit (QVC) is used to generate a vector for precise decision boundaries.

Here, CEO Kevin Kawchak will provide a comprehensive look at the 2 Alzheimer's papers, combined with leading Medical Imaging and Fundamental Imaging Studies that utilize emerging Quantum Computers to help improve results. There will be a focus on specific problems being solved, the size of the opportunity, and the potential value of quantum medical imaging will be discussed.

#apple , #fda , #aws , #merative, #gehealthcare , #nvidia , #google #ibm, #loni, #alzheimers, #dementia, #medicalimaging, #classification, #quantum, #qml, #innovation

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Sincerely,
CEO Kevin Kawchak
ChemicalQDevice
February 5th, 2023

Тэги:

##apple ##fda ##aws ##merative ##gehealthcare ##nvidia ##loni ##alzheimers ##dementia ##medicalimaging ##classification ##quantum ##qml ##innovation #@apple #@fda #@aws #@merative #@gehealthcare #@nvidia ##google #@google #@ibm ##ibm #@loni #@alzheimers #@dementia

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