{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T19:38:52Z","timestamp":1789501132369,"version":"build-2803163510"},"reference-count":18,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"5","content-domain":{"domain":["lww.com","ovid.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,5]]},"abstract":"ABSTRACT<\/jats:title>\n \n Background and Aims:<\/jats:title>\n The incorporation of artificial intelligence (AI) in point-of-care ultrasound (POCUS) has become a very useful tool to quickly assess cardiorespiratory function in coronavirus disease (COVID)-19 patients. The objective of this study was to test the agreement between manual and automated B-lines counting, left ventricular outflow tract velocity time integral (LVOT-VTI) and inferior vena cava collapsibility index (IVC-CI) in suspected or confirmed COVID-19 patients using AI integrated POCUS. In addition, we investigated the inter-observer, intra-observer variability and reliability of assessment of echocardiographic parameters using AI by a novice.<\/jats:p>\n <\/jats:sec>\n \n Methods:<\/jats:title>\n Two experienced sonographers in POCUS and one novice learner independently and consecutively performed ultrasound assessment of B-lines counting, LVOT-VTI and IVC-CI in 83 suspected and confirmed COVID-19 cases which included both manual and AI methods.<\/jats:p>\n <\/jats:sec>\n \n Results:<\/jats:title>\n \n Agreement between automated and manual assessment of LVOT-VTI, and IVC-CI were excellent [intraclass correlation coefficient (ICC) 0.98,\n P<\/jats:italic>\n < 0.001]. Intra-observer reliability and inter-observer reliability of these parameters were excellent [ICC 0.96-0.99,\n P<\/jats:italic>\n < 0.001]. Moreover, agreement between novice and experts using AI for LVOT-VTI and IVC-CI assessment was also excellent [ICC 0.95-0.97,\n P<\/jats:italic>\n < 0.001]. However, correlation and intra-observer reliability between automated and manual B-lines counting was moderate [(ICC) 0.52-0.53,\n P<\/jats:italic>\n < 0.001] and [ICC 0.56-0.69,\n P<\/jats:italic>\n < 0.001], respectively. Inter-observer reliability was good [ICC 0.79-0.87,\n P<\/jats:italic>\n < 0.001]. Agreement of B-lines counting between novice and experts using AI was weak [ICC 0.18,\n P<\/jats:italic>\n < 0.001].\n <\/jats:p>\n <\/jats:sec>\n \n Conclusion:<\/jats:title>\n AI-guided assessment of LVOT-VTI, IVC-CI and B-lines counting is reliable and consistent with manual assessment in COVID-19 patients. Novices can reliably estimate LVOT-VTI and IVC-CI using AI software in COVID-19 patients.<\/jats:p>\n <\/jats:sec>","DOI":"10.4103\/ija.ija_1008_21","type":"journal-article","created":{"date-parts":[[2022,5,17]],"date-time":"2022-05-17T23:52:41Z","timestamp":1652831561000},"page":"368-374","update-policy":"https:\/\/doi.org\/10.1097\/lww.0000000000001000","source":"Crossref","is-referenced-by-count":16,"title":["Automated versus manual B-lines counting, left ventricular outflow tract velocity time integral and inferior vena cava collapsibility index in COVID-19 patients"],"prefix":"10.4103","volume":"66","author":[{"given":"Srinath","family":"Damodaran","sequence":"first","affiliation":[{"name":"Department of Anaesthesia and Intensive Care, Narayana Institute of Cardiac Sciences, Narayana Health City, Bengaluru, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anuja Vijay","family":"Kulkarni","sequence":"additional","affiliation":[{"name":"Department of Anaesthesia and Intensive Care, Narayana Institute of Cardiac Sciences, Narayana Health City, Bengaluru, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vikneswaran","family":"Gunaseelan","sequence":"additional","affiliation":[{"name":"Department of Clinical Research, Narayana Institute of Cardiac Sciences, Narayana Health City, Bengaluru, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vimal","family":"Raj","sequence":"additional","affiliation":[{"name":"Department of Radiology, Narayana Institute of Cardiac Sciences, Narayana Health City, Bengaluru, Karnataka, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muralidhar","family":"Kanchi","sequence":"additional","affiliation":[{"name":"Department of Anaesthesia and Intensive Care, Narayana Institute of Cardiac Sciences, Narayana Health City, Bengaluru, Karnataka, 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