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Efficient MRI Scans and Better Patient Outcomes with GE Healthcare AIRx – Intel on AI – Episode 40

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Manage episode 321488149 series 3321523
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this Intel on AI podcast episode: Before an MRI technologist can scan a patient, they manually specify the slices they want the MRI to acquire. This can take several minutes of tweaking, leaving a patient waiting anxiously in the MRI scanner and adding unnecessary steps to set up each scan. It can also introduce inconsistencies into images taken over time if parameters or positioning are slightly different each time a patient gets scanned, making it challenging to accurately monitor disease progression or treatment. Recording live at the Intel AI Summit event in San Francisco California, Matthew DiDonato Director of Product and AI at GE Healthcare, joins the Intel on AI Podcast to talk about GE Healthcare’s AIRx solution. He highlights how AIRx uses deep learning to automatically identify anatomical structures to prescribe slice locations, and angle of those slices for neurological exams, delivering consistent and quantifiable results. Matthew explains how AIRx enables consistent, repeatable scan alignment to help physicians better monitor a patient across longitudinal studies and also reduces the amount of time a patient has to wait and spend during their MRI treatment. He also talks about how working with the Intel Distribution of OpenVino enabled GE to achieve a significant reduction in processing time to enable more efficient healthcare and better patient outcomes when using AIRx. Matt also talks about how GE Healthcare and Intel are working together on a number of other projects based on the GE Edison AI platform and achieving amazing result with Intel AI technology.

To learn more, visit: gehealthcare.com

Visit Intel AI Builders at: builders.intel.com/ai

  continue reading

122 episodes

Artwork
iconShare
 
Manage episode 321488149 series 3321523
Content provided by Intel Corporation. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Intel Corporation or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this Intel on AI podcast episode: Before an MRI technologist can scan a patient, they manually specify the slices they want the MRI to acquire. This can take several minutes of tweaking, leaving a patient waiting anxiously in the MRI scanner and adding unnecessary steps to set up each scan. It can also introduce inconsistencies into images taken over time if parameters or positioning are slightly different each time a patient gets scanned, making it challenging to accurately monitor disease progression or treatment. Recording live at the Intel AI Summit event in San Francisco California, Matthew DiDonato Director of Product and AI at GE Healthcare, joins the Intel on AI Podcast to talk about GE Healthcare’s AIRx solution. He highlights how AIRx uses deep learning to automatically identify anatomical structures to prescribe slice locations, and angle of those slices for neurological exams, delivering consistent and quantifiable results. Matthew explains how AIRx enables consistent, repeatable scan alignment to help physicians better monitor a patient across longitudinal studies and also reduces the amount of time a patient has to wait and spend during their MRI treatment. He also talks about how working with the Intel Distribution of OpenVino enabled GE to achieve a significant reduction in processing time to enable more efficient healthcare and better patient outcomes when using AIRx. Matt also talks about how GE Healthcare and Intel are working together on a number of other projects based on the GE Edison AI platform and achieving amazing result with Intel AI technology.

To learn more, visit: gehealthcare.com

Visit Intel AI Builders at: builders.intel.com/ai

  continue reading

122 episodes

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