AI can identify, triage abnormal chest x-rays

An artificial intelligence (AI) algorithm was able to accurately identify chest...Read more on AuntMinnie.comRelated Reading: Use of emergency chest imaging on the rise Canada-U.S. duo wins RSNA pneumonia AI challenge How well does imaging AI perform in the real world? AI can't replace radiologists for chest x-ray reads AI can find, classify pleural effusions on chest x-rays
Source: Headlines - Category: Radiology Source Type: news

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CONCLUSION: AI AS GOOD OR BETTER than middle rad residents EXCEPT: “ In general, residents performed better for more subtle anomalies, such as masses and nodules, misplaced lines and tubes, and various forms of consolidation, while the AI algorithm was better at detecting nonanomalous findings, the presence of tubes and lines, and clearly visible anomalies, such as cardiomegaly, pleural effusion, and pulmonary edema," the authors wrote. "Conversely, the AI algorithm generally performed worse for lower-prevalence findings that also had a higher level of difficulty of interpretation, such as masses or nodul...
Source: Headlines - Category: Radiology Source Type: news
How accurate is chest imaging for diagnosing COVID-19?Why is this question important?People with suspected COVID-19 need to know quickly whether they are infected, so that they can self-isolate, receive treatment, and inform close contacts. Currently, formal diagnosis of COVID-19 infection requires laboratory analysis of blood or nose and throat samples. The laboratory test, called RT-PCR, requires specialist equipment and takes at least 24 hours to produce a result. Further, RT-PCR is not completely accurate and a second RT-PCR or a different test may be required to confirm the diagnosis.COVID-19 is a respiratory infectio...
Source: Cochrane News and Events - Category: Information Technology Authors: Source Type: news
Abstract Hospital-acquired pneumonia (HAP) is one of the common infections in hospitalized patients. Early and prompt diagnosis of HAP is important because it aids in the appropriate selection of antibiotics and decreases the mortality and morbidity of patients. The investigation on serum procalcitonin (PCT) levels in pediatric patients is limited. Herein we aimed to evaluate the role of PCT in the early diagnosis of children with bacterial HAP. The study enrolled 264 children (
Source: Molecular and Cellular Biochemistry - Category: Biochemistry Authors: Tags: Mol Cell Biochem Source Type: research
In this study, a state-of-the-art custom U-Net model is presented with a dice similarity coefficient performance of 99.6% along with a transfer learning VGG-19 based model for COVID-19 versus pneumonia differentiation exhibiting an area under curve of 96.1%. The above was significantly improved over the baseline model trained with no segmentation in selected tomographic slices of the same dataset. The presented study highlights the importance of a robust preprocessing protocol for image analysis within a heterogeneous imaging dataset and assesses the potential diagnostic value of the presented COVID-19 model by comparing i...
Source: Experimental and Therapeutic Medicine - Category: General Medicine Tags: Exp Ther Med Source Type: research
Presagen has developed a new algorithm that cleans poor-quality data automatically...Read more on AuntMinnie.comRelated Reading: C-MIMI: Use of AI in radiology is evolving Medical imaging AI market projected for strong growth How well does imaging AI perform in the real world? RSNA launches AI challenge to detect pneumonia on x-rays
Source: Headlines - Category: Radiology Source Type: news
Chest CT scan and chest x-rays show characteristic radiographic findings in patients with COVID-19 pneumonia. Chest x-ray can be used in diagnosis and follow up in patients with COVID-19 pneumonia. The study a...
Source: BMC Pulmonary Medicine - Category: Respiratory Medicine Authors: Tags: Research article Source Type: research
Conclusion: Physicians should carefully monitor patients with COVID-19, as they can develop rapidly progressive and fibrotic OP, which respond to corticosteroids.
Source: Medicine - Category: Internal Medicine Tags: Research Article: Clinical Case Report Source Type: research
CONCLUSION: This study demonstrated that a deep transfer learning is feasible to detect COVID-19 disease automatically from chest X-ray by training the learning model with chest X-ray images mixed with COVID-19 patients, other pneumonia affected patients and people with healthy lungs, which may help doctors more effectively make their clinical decisions. The study also gives an insight to how transfer learning was used to automatically detect the COVID-19 disease. In future studies, as the amount of available dataset increases, different convolution neutral network models could be designed to achieve the goal more efficien...
Source: Journal of X-Ray Science and Technology - Category: Radiology Tags: J Xray Sci Technol Source Type: research
CONCLUSION: This study demonstrates the effectiveness of deep transfer learning techniques for the identification of COVID-19 cases using CXR images. PMID: 32773400 [PubMed - as supplied by publisher]
Source: Journal of X-Ray Science and Technology - Category: Radiology Tags: J Xray Sci Technol Source Type: research
CONCLUSION: The moderate COVID-19 pneumonia CT score increased rapidly in a short period of time initially, followed by a slow decline over a relatively long time. The peak of the course occurred in stage 2. Complete recovery of patients with moderate COVID-19 pneumonia with high mean CT score at the time of discharge requires longer time. PMID: 32741802 [PubMed - as supplied by publisher]
Source: Journal of X-Ray Science and Technology - Category: Radiology Tags: J Xray Sci Technol Source Type: research
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