Synopsis of Social media discussions
Discussions show a positive outlook on the relevance of quantum algorithms for medical imaging, with references to specific areas like neuroradiology and mentions of collaborations with institutions like IBM and MIT, reflecting both enthusiasm and recognition of the technology's potential for transforming diagnosis and analysis.
Agreement
Moderate agreementMost discussions recognize the promise of quantum algorithms in medical imaging, particularly in COVID-19 prognosis, indicating general agreement on its potential benefits.
Interest
High level of interestPosts display high interest by highlighting advancements, collaborations, and future applications, suggesting enthusiasm for the research's implications.
Engagement
Moderate level of engagementParticipants are engaging by referencing related fields like neuroradiology and quantum computing, sharing acknowledgments, and discussing the methodology, reflecting a moderate level of in-depth analysis.
Impact
Moderate level of impactWhile some users emphasize the significance of quantum computing in medical diagnostics, the overall perceived immediate impact remains moderate, given the early stage of such applications.
Social Mentions
YouTube
2 Videos
5 Posts
News
3 Articles
Metrics
Video Views
518
Total Likes
9
Extended Reach
11,149
Social Features
10
Timeline: Posts about article
Top Social Media Posts
ChemicalQDevice
"Quantum Algorithm Advancements for Neuroradiology Applications"
https://t.co/yjmU7JZ5G2
#quantum, #algorithms, #quantumcomputing, #neuroradiology, @IBM, @ClevelandClinic, @mit, @NSF https://t.co/fwiEmckLd0
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Dulwich Quantum Computing
"Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients"
https://t.co/4b3X5Pjmcf
view full post
Ricardo Vázquez
RT @chemicalqdevice: "Quantum Algorithm Advancements for Neuroradiology Applications"
https://t.co/yjmU7JZ5G2
#quantum, #algorithms, #quan…
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Dataemia
(Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients) https://t.co/zoO2BMUNPO
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ChemicalQDevice
@AbcCollab @califf001 Thank you for posting. A paper from this year that leverages quantum neural network to improve image processing. https://t.co/TNxLy9vJxX
#quantum
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Posts referencing the article
Advancements in Quantum Computing for Medical Imaging and Diagnostics
NVIDIA's DGX Quantum system, the first GPU-accelerated quantum computing platform, enhances high-performance, low-latency quantum-classical computing. It improves processing of large medical data sets and enables advanced quantum algorithms for medical applications.
April 28, 2023
177 views
Advances in Quantum Algorithms for Neuroradiology Applications
This video discusses recent progress in quantum algorithms for neuroradiology, highlighting hybrid quantum-classical methods improving medical image classification and efficiency for large datasets using quantum circuit components like entangled states.
March 24, 2023
108 views
Next Generation Neuroradiology Quantum Algorithms for Brain Disorders: Insight
March 17, 2023
78 views
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"Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients" https://t.co/4b3X5Pjmcf
view full postOctober 6, 2023
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Ricardo Vázquez
@ricardo_ik_ahau (Twitter)RT @chemicalqdevice: "Quantum Algorithm Advancements for Neuroradiology Applications" https://t.co/yjmU7JZ5G2 #quantum, #algorithms, #quan…
view full postMarch 24, 2023
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ChemicalQDevice
@chemicalqdevice (Twitter)"Quantum Algorithm Advancements for Neuroradiology Applications" https://t.co/yjmU7JZ5G2 #quantum, #algorithms, #quantumcomputing, #neuroradiology, @IBM, @ClevelandClinic, @mit, @NSF https://t.co/fwiEmckLd0
view full postMarch 24, 2023
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ChemicalQDevice
@chemicalqdevice (Twitter)@AbcCollab @califf001 Thank you for posting. A paper from this year that leverages quantum neural network to improve image processing. https://t.co/TNxLy9vJxX #quantum
view full postDecember 12, 2021
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Dataemia
@Dataemia (Twitter)(Quantum algorithm for quicker clinical prognostic analysis: an application and experimental study using CT scan images of COVID-19 patients) https://t.co/zoO2BMUNPO
view full postAugust 1, 2021
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Quantum Computing in Health and Medicine | PDF
https://doi.org/10.1186/s12911-021-01588-6. Switzerland, uptownBasel Infinity, 2022, https://digitalemedienmappe.ch/ Shahwar T, Zafar J, Almogren A, Zafar H ...
view full postDecember 13, 2025
News
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Quantum Machine Learning in Medical Image Analysis: A Survey ...
org/10.1186/s12911-021-01588-6. [94] M. Sima Kafian, Yaghoobi,, et al., Speech Recognition Based on Bbrain Signals by the Quantum Support Vector Machine for ...
view full postDecember 13, 2025
News
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Quantum Algorithm For Quicker Clinical Prognostic Analysis: An ...
Sengupta and Srivastava BMC Med Inform Decis Mak (2021) 21:227. https://doi.org/10.1186/s12911-021-01588-6. RESEARCH ARTICLE Open Access ...
view full postSeptember 7, 2024
News
Abstract Synopsis
- This research introduces a new quantum machine learning approach, specifically quantum neural networks, to classify COVID-19 from CT scans and shows it outperforms traditional deep learning models in accuracy and speed.
- The study demonstrates that quantum algorithms can process complex clinical image data more efficiently, with significantly faster training times—about half the time compared to conventional GPU methods—and higher accuracy in distinguishing COVID-19 from other pneumonia types.
- Overall, the findings suggest that quantum-based models have strong potential to improve early diagnosis in medicine by providing quicker and more accurate analysis of medical images like CT scans.
Dulwich Quantum Computing
@DulwichQuantum (Twitter)