Draft:Deep Breathe
Submission declined on 12 December 2024 by SafariScribe (talk).
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| Submission declined on 10 December 2023 by BuySomeApples (talk). This draft's references do not show that the subject qualifies for a Wikipedia article. In summary, the draft needs multiple published sources that are: Declined by BuySomeApples 12 months ago.
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Comment: Doesn't meet WP:NCORP. Safari ScribeEdits! Talk! 11:59, 12 December 2024 (UTC)
- Comment: Needs more in-depth sources to establish notability. Some of the sources are only passing mentions. Check that all sources are also live links (or use archived versions). Lewisguile (talk) 13:10, 9 November 2024 (UTC)
Deep Breathe is a Canadian medical technology company headquartered in London, Ontario that utilizes artificial intelligence software in conjunction with medical ultrasound.[1]
Founding
[edit]In May 2020, Robert Arntfield, a researcher, physician, and the Medical Director of the Critical Care Trauma Centre at London Health Sciences Centre, began work with a team at Lawson Health Research Institute to investigate how artificial intelligence systems can be used to diagnose COVID-19 through patterns in lung scans.[2] During the project, a study involved the real-time validation of a lung ultrasound learning model in intensive care units, demonstrating high accuracy in identifying B-line patterns in critically ill patients. This system also demonstrated high accuracy and surpassed physicians in detecting COVID-19 in lung ultrasounds.[3] This system became the first product for his medical technology company, Deep Breathe, which he founded in 2021.[1]
Product
[edit]The company provides artificial intelligence software to automate the interpretation of medical images. Algorithms are used to analyze and interpret ultrasound images to make diagnoses by healthcare providers.[1] The intended use is in conjunction with handheld, point-of-care lung ultrasound technology which the company purports can enable healthcare providers to diagnose various lung conditions with speed, accuracy, and objectivity.[4] The software has been trained through Deep Breathe’s extensively annotated and anonymized lung ultrasound dataset.[5] This image collection has been collated from multiple sources around the world and spans over a decade of clinical research.[1]
The product can aid in diagnosing COVID-19, congestive heart failure, pneumonia, pleural effusion, and pneumothorax, among other conditions.[6] The product’s mobility allows for use in a variety of potentially challenging and remote settings, including military applications, civilian healthcare, aerospace, and veterinary medicine.[7]
Operations
[edit]In February 2023, Deep Breathe received an external investment from MAP Equity Investco, an investment firm based in London, Ontario. This investment accelerated regulatory approval efforts.[8] The company is currently under review with the United States Food and Drug Administration with plans to expand with approval from Health Canada.[9] Following regulatory approval, the company will seek out partnerships with manufacturers to add Deep Breathe technology into ultrasound hardware.[1]
In June 2024 the company filed a patent for a wearable ultrasound device that utilizes a machine-learning model to analyze lung sliding.[10]
In July 2024 Deep Breathe was selected to participate in Orbit Health, a nonprofit accelerator for healthcare technology that can be used in remote locations on Earth and in space. The initiative is funded by the Canadian Space Agency.[11]
In August 2024 Deep Breathe won first-place in a U.S. Army sponsored xTechInternational competition.[12] The focus of the competition was “AI for Intelligence and Decision-Making Applications, Quantum Sensing, and Indigenous Materials Forward”, and international businesses and institutions pitched technology solutions that could be further developed by the U.S. Department of Defense through an accelerator program.[13] Deep Breathe purported that their portable ultrasound and AI technology can detect pneumothorax quickly and reliably, which could be implemented in military field work.[14]
References
[edit]- ^ a b c d e De Bono, Norman (2023-03-09). "London doctor aims to bring AI technology to diagnosing lung woes". The London Free Press. Retrieved 2023-12-08.
- ^ "London, Ont. researchers examining use of A.I. to diagnose COVID-19 through lung ultrasounds | Globalnews.ca". 980 CFPL. Retrieved 2023-12-08.
- ^ Arntfield, Robert; VanBerlo, Blake; Alaifan, Thamer; Phelps, Nathan; White, Matthew; Chaudhary, Rushil; Ho, Jordan; Wu, Derek (2021-03-01). "Development of a convolutional neural network to differentiate among the etiology of similar appearing pathological B lines on lung ultrasound: a deep learning study". BMJ Open. 11 (3): e045120. doi:10.1136/bmjopen-2020-045120. ISSN 2044-6055. PMC 7939003. PMID 33674378.
- ^ Bieman, Jennifer (2021-03-22). "London-schooled AI is flawless at detecting COVID in lung ultrasounds". The London Free Press. Retrieved 2023-12-08.
- ^ "CTV British Columbia: Michele Brunoro explains". London. 2010-07-23. Retrieved 2024-10-16.
- ^ "Western prof develops AI-powered bedside lung ultrasound". Western News. 2023-03-27. Retrieved 2023-12-08.
- ^ "Canadian firm wins in US Army competition". Canadian Healthcare Technology. September 4, 2024.
- ^ "Western prof develops AI-powered bedside lung ultrasound". Western News. 2023-03-27. Retrieved 2024-10-15.
- ^ Zeidenberg, Jerry (2024-06-01). "Physician-led company automates portable lung ultrasound with AI". Canadian Healthcare Technology. 29 (5): 10.
- ^ "Deep Breathe's wearable AI-powered POC lung ultrasound imaging system | BioWorld". www.bioworld.com. Retrieved 2024-10-15.
- ^ Gao, Rebecca (2024-07-25). "Tech Update: Reusable packaging helps stadium-sized sports events hit sustainability goals". Toronto Star. Retrieved 2024-10-15.
- ^ Norman, De Bono (2024-09-26). "London doctor's firm wins $100K U.S. Army prize, with eyes on outer space next". The London Free Press. Retrieved 2024-10-15.
- ^ "xTechInternational".
- ^ Donnini, Alessio (2024-09-29). "London medical startup attracts international attention with AI ultrasound tech". CBC News. Retrieved 2024-10-15.
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