Ultrasonographic Applications of Novel Technologies and Artificial Intelligence in Critically Ill Patients
The diagnostic process in Intensive Care Units has been revolutionized by ultrasonography and accelerated by artificial intelligence. Patients in critical condition are often sonoanatomically challenging, with time constraints being an additional stress factor. In this paper, we describe the technol...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-03-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/14/3/286 |
| _version_ | 1797240342173450240 |
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| author | Sławomir Mika Wojciech Gola Monika Gil-Mika Mateusz Wilk Hanna Misiolłek |
| author_facet | Sławomir Mika Wojciech Gola Monika Gil-Mika Mateusz Wilk Hanna Misiolłek |
| author_sort | Sławomir Mika |
| collection | DOAJ |
| description | The diagnostic process in Intensive Care Units has been revolutionized by ultrasonography and accelerated by artificial intelligence. Patients in critical condition are often sonoanatomically challenging, with time constraints being an additional stress factor. In this paper, we describe the technology behind the development of AI systems to support diagnostic ultrasound in intensive care units. Among the AI-based solutions, the focus was placed on systems supporting cardiac ultrasound, such as Smart-VTI, Auto-VTI, SmartEcho Vue, AutoEF, Us2.ai, and Real Time EF. Solutions to assist hemodynamic assessment based on the evaluation of the inferior vena cava, such as Smart-IVC or Auto-IVC, as well as to facilitate ultrasound assessment of the lungs, such as Smart B-line or Auto B-line, and to help in the estimation of gastric contents, such as Auto Gastric Antrum, were also discussed. All these solutions provide doctors with support by making it easier to obtain appropriate diagnostically correct ultrasound images by automatically performing time-consuming measurements and enabling real-time analysis of the obtained data. Artificial intelligence will most likely be used in the future to create advanced systems facilitating the diagnostic and therapeutic process in intensive care units. |
| first_indexed | 2024-04-24T18:05:54Z |
| format | Article |
| id | doaj.art-5a55950c54524a8098e6ec5cd310ce4e |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-04-24T18:05:54Z |
| publishDate | 2024-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-5a55950c54524a8098e6ec5cd310ce4e2024-03-27T13:50:10ZengMDPI AGJournal of Personalized Medicine2075-44262024-03-0114328610.3390/jpm14030286Ultrasonographic Applications of Novel Technologies and Artificial Intelligence in Critically Ill PatientsSławomir Mika0Wojciech Gola1Monika Gil-Mika2Mateusz Wilk3Hanna Misiolłek4Medica Co., Ltd. (Upper Silesian School of Ultrasonography), 41-500 Chorzów, PolandCollegium Medicum, Jan Kochanowski University (JKU), 25-317 Kielce, PolandMunicipal Hospital Co., Ltd., 41-703 Ruda Śląska, PolandCollegium Medicum, WSB University, 41-300 Dąbrowa Górnicza, PolandDepartment of Anaesthesiology and Critical Care, School of Medicine with the Division of Dentistry, Medical University of Silesia, 41-808 Zabrze, PolandThe diagnostic process in Intensive Care Units has been revolutionized by ultrasonography and accelerated by artificial intelligence. Patients in critical condition are often sonoanatomically challenging, with time constraints being an additional stress factor. In this paper, we describe the technology behind the development of AI systems to support diagnostic ultrasound in intensive care units. Among the AI-based solutions, the focus was placed on systems supporting cardiac ultrasound, such as Smart-VTI, Auto-VTI, SmartEcho Vue, AutoEF, Us2.ai, and Real Time EF. Solutions to assist hemodynamic assessment based on the evaluation of the inferior vena cava, such as Smart-IVC or Auto-IVC, as well as to facilitate ultrasound assessment of the lungs, such as Smart B-line or Auto B-line, and to help in the estimation of gastric contents, such as Auto Gastric Antrum, were also discussed. All these solutions provide doctors with support by making it easier to obtain appropriate diagnostically correct ultrasound images by automatically performing time-consuming measurements and enabling real-time analysis of the obtained data. Artificial intelligence will most likely be used in the future to create advanced systems facilitating the diagnostic and therapeutic process in intensive care units.https://www.mdpi.com/2075-4426/14/3/286artificial intelligenceultrasonographyintensive care |
| spellingShingle | Sławomir Mika Wojciech Gola Monika Gil-Mika Mateusz Wilk Hanna Misiolłek Ultrasonographic Applications of Novel Technologies and Artificial Intelligence in Critically Ill Patients Journal of Personalized Medicine artificial intelligence ultrasonography intensive care |
| title | Ultrasonographic Applications of Novel Technologies and Artificial Intelligence in Critically Ill Patients |
| title_full | Ultrasonographic Applications of Novel Technologies and Artificial Intelligence in Critically Ill Patients |
| title_fullStr | Ultrasonographic Applications of Novel Technologies and Artificial Intelligence in Critically Ill Patients |
| title_full_unstemmed | Ultrasonographic Applications of Novel Technologies and Artificial Intelligence in Critically Ill Patients |
| title_short | Ultrasonographic Applications of Novel Technologies and Artificial Intelligence in Critically Ill Patients |
| title_sort | ultrasonographic applications of novel technologies and artificial intelligence in critically ill patients |
| topic | artificial intelligence ultrasonography intensive care |
| url | https://www.mdpi.com/2075-4426/14/3/286 |
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