Enhanced Point‐of‐Care Ultrasound Applications by Integrating Automated Feature‐Learning Systems Using Deep Learning

2018 ◽  
Vol 38 (7) ◽  
pp. 1887-1897 ◽  
Author(s):  
Hamid Shokoohi ◽  
Maxine A. LeSaux ◽  
Yusuf H. Roohani ◽  
Andrew Liteplo ◽  
Calvin Huang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Point Of Care ◽  
Feature Learning ◽  
Learning Systems ◽  
Point Of Care Ultrasound ◽  
Ultrasound Applications

scholarly journals Reverse Scan Conversion and Efficient Deep Learning Network Architecture for Ultrasound Imaging on a Mobile Device

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2629
Author(s):  
Kunkyu Lee ◽  
Min Kim ◽  
Changhyun Lim ◽  
Tai-Kyong Song
Keyword(s):  
Deep Learning ◽  
Ultrasound Imaging ◽  
Mobile Device ◽  
Network Architecture ◽  
Point Of Care ◽  
Ultrasound Image ◽  
Training Dataset ◽  
Point Of Care Ultrasound ◽  
Reverse Scan ◽  
Scan Conversion

Point-of-care ultrasound (POCUS), realized by recent developments in portable ultrasound imaging systems for prompt diagnosis and treatment, has become a major tool in accidents or emergencies. Concomitantly, the number of untrained/unskilled staff not familiar with the operation of the ultrasound system for diagnosis is increasing. By providing an imaging guide to assist clinical decisions and support diagnosis, the risk brought by inexperienced users can be managed. Recently, deep learning has been employed to guide users in ultrasound scanning and diagnosis. However, in a cloud-based ultrasonic artificial intelligence system, the use of POCUS is limited due to information security, network integrity, and significant energy consumption. To address this, we propose (1) a structure that simultaneously provides ultrasound imaging and a mobile device-based ultrasound image guide using deep learning, and (2) a reverse scan conversion (RSC) method for building an ultrasound training dataset to increase the accuracy of the deep learning model. Experimental results show that the proposed structure can achieve ultrasound imaging and deep learning simultaneously at a maximum rate of 42.9 frames per second, and that the RSC method improves the image classification accuracy by more than 3%.

New Perspectives for Modern Trauma Management – Lessons Learned from 25 Years FAST and 15 Years E-FAST

2019 ◽  
Vol 40 (05) ◽  
pp. 560-583 ◽  
Author(s):  
Joseph Osterwalder ◽  
Gebhard Mathis ◽  
Beatrice Hoffmann
Keyword(s):  
Life Support ◽  
Point Of Care ◽  
Clinical Situation ◽  
Lessons Learned ◽  
Advanced Trauma Life Support ◽  
Point Of Care Ultrasound ◽  
Trauma Management ◽  
Abdominal Image ◽  
Trauma Surgeons ◽  
Ultrasound Applications

AbstractE-FAST (Extended-Focused Assessment with Sonography for Trauma) is now a widely utilized and internationally recognized standard exam in trauma care. It is highly accepted by emergency physicians and trauma surgeons alike. Thanks to the popularity of PoCUS (point-of-care ultrasound), it has continued to evolve over the last years and can now improve trauma diagnosis at all stages of the primary ABCDE. This review article summarizes key observations made over recent years and also highlights the extension of FAST into E-FAST in the context of PoCUS and CT developments for modern trauma management. Time has come to learn the lessons from 25 years of FAST and 15 years of E-FAST. We should redefine and position ultrasound in the primary ATLS survey (Advanced Trauma Life Support) on two levels: 1. Basic ATLS with new clinical questions, six additional abdominal image sections and one or more follow-up examinations depending on the clinical situation, and 2. Advanced ATLS with ultrasound applications for the entire trauma ABCDE.

scholarly journals Clinical Progress Note: Point-of-Care Ultrasound Applications in COVID-19

2020 ◽  
Vol 15 (6) ◽  
pp. 353-355 ◽  
Author(s):  
Benji K Mathews ◽  
Seth Koenig ◽  
Linda Kurian ◽  
Benjamin Galen ◽  
Gregory Mints ◽  
...  
Keyword(s):  
Septic Shock ◽  
Respiratory Failure ◽  
Critical Illness ◽  
Literature Search ◽  
Point Of Care ◽  
Severe Illness ◽  
Point Of Care Ultrasound ◽  
The Novel ◽  
Novel Coronavirus ◽  
Ultrasound Applications

COVID-19, the disease caused by the novel coronavirus SARS-CoV-2, was declared a pandemic on March 11, 2020. Although most patients (81%) develop mild illness, 14% develop severe illness, and 5% develop critical illness, including acute respiratory failure, septic shock, and multiorgan dysfunction.1 Point-of-care ultrasound (POCUS), or bedside ultrasound performed by a clinician caring for the patient, is being used to support the diagnosis and serially monitor patients with COVID-19. We performed a literature search of electronically discoverable peer-reviewed publications on POCUS use in COVID-19 from December 1, 2019, to April 10, 2020. We review key POCUS applications that are most relevant to frontline providers in the care of COVID-19 patients.

Point-of-Care Ultrasound Applications in the Outpatient Clinic

2018 ◽  
Vol 111 (7) ◽  
pp. 404-410
Author(s):  
Michael Wagner ◽  
Joy Shen-Wagner ◽  
Kang X. Zhang ◽  
Timothy Flynn ◽  
Kevin Bergman
Keyword(s):  
Outpatient Clinic ◽  
Point Of Care ◽  
Point Of Care Ultrasound ◽  
Ultrasound Applications

scholarly journals Consensus Core Point‐of‐care Ultrasound Applications for Pediatric Emergency Medicine Training

2019 ◽  
Vol 3 (3) ◽  
pp. 251-258 ◽  
Author(s):  
Allan Evan Shefrin ◽  
Fred Warkentine ◽  
Erika Constantine ◽  
Amanda Toney ◽  
Atim Uya ◽  
...  
Keyword(s):  
Emergency Medicine ◽  
Point Of Care ◽  
Pediatric Emergency ◽  
Point Of Care Ultrasound ◽  
Pediatric Emergency Medicine ◽  
Core Point ◽  
Ultrasound Applications
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