Can AI and radiographs help in resource-poor areas for the fight against COVID-19?
Conclusion
With new evidence emerging every day and with COVID-19 guidance and protocols adapting responsively, the national responses vary widely across the globe. However, Singapore, Taiwan and South Korea have shown that aggressive and proactive testing plays a crucial role in containing the spread of the disease.
We believe AI has great potential for helping doctors quantify and monitor COVID progression from a patient’s chest X-rays – this will help determine treatment pathways faster and thus slow any surges in emergency cases. AI will also play a critical role in expanding screening for COVID-19 in low- resource communities, reducing the burden on healthcare systems.
References
WHO Director-General’s opening remarks at the media briefing on COVID-19 – WHO, Accessed Apr 9, 2020.Imaging the coronavirus disease COVID-19 – Healthcare in Europe Website, Accessed Apr 9, 2020.Hope et al. A role for CT in COVID-19? What data really tell us so far – The Lancet, Mar 27, 2020Lessons from the frontline of the covid-19 outbreak – BMJ Blog, Accessed Apr 9, 2020.Wong et al. Frequency and Distribution of Chest Radiographic Findings in COVID-19 Positive Patients – Radiology, Mar 27, 2020.ACR Recommendations for the use of Chest Radiography and Computed Tomography (CT) for Suspected COVID-19 Infection – ACR, Accessed Apr 9, 2020.Lei et al. COVID-19 Infection: Early Lessons – Canadian Association of Radio...
Source: The Health Care Blog - Category: Consumer Health News Authors: Christina Liu Tags: COVID-19 Health Tech bhargava reddy manoj tld pooja rao preetham srinivas qure.ai tarun raj Source Type: blogs
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