Can Artificial Intelligence Aid Diagnosis by Teleguided Point-of-Care Ultrasound? A Pilot Study for Evaluating a Novel Computer Algorithm for COVID-19 Diagnosis Using Lung Ultrasound.
Can Artificial Intelligence Aid Diagnosis by Teleguided Point-of-Care Ultrasound? A Pilot Study for Evaluating a Novel Computer Algorithm for COVID-19 Diagnosis Using Lung Ultrasound.
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DOI：
10.3390/ai4040044
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发表时间：
2023-12
期刊：
影响因子：
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中科院分区：
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With the 2019 coronavirus disease (COVID-19) pandemic, there is an increasing demand for remote monitoring technologies to reduce patient and provider exposure. One field that has an increasing potential is teleguided ultrasound, where telemedicine and point-of-care ultrasound (POCUS) merge to create this new scope. Teleguided POCUS can minimize staff exposure while preserving patient safety and oversight during bedside procedures. In this paper, we propose the use of teleguided POCUS supported by AI technologies for the remote monitoring of COVID-19 patients by non-experienced personnel including self-monitoring by the patients themselves. Our hypothesis is that AI technologies can facilitate the remote monitoring of COVID-19 patients through the utilization of POCUS devices, even when operated by individuals without formal medical training. In pursuit of this goal, we performed a pilot analysis to evaluate the performance of users with different clinical backgrounds using a computer-based system for COVID-19 detection using lung ultrasound. The purpose of the analysis was to emphasize the potential of the proposed AI technology for improving diagnostic performance, especially for users with less experience.
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DOI：
10.1016/j.cag.2022.03.003
发表时间：
2022-05
期刊：
Computers & graphics
影响因子：
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作者：
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通讯作者：
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3.7
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影响因子：
2.9
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通讯作者：
Boillat-Blanco, Noemie
DOI：
10.1002/emp2.12418
发表时间：
2021-04
影响因子：
2.3
作者：
Sultan LR;Chen YT;Cary TW;Ashi K;Sehgal CM
通讯作者：
Sehgal CM
影响因子：
4.6
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