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Artificial intelligence and telemedicine in the field of anaesthesiology, intensive care and pain medicine: A European survey.

作者信息

Bignami Elena Giovanna, Russo Michele, Bellini Valentina, Berchialla Paola, Cammarota Gianmaria, Cascella Marco, Compagnone Christian, Sanfilippo Filippo, Maggiore Salvatore Maurizio, Montomoli Jonathan, Vetrugno Luigi, Boero Enrico, Cortegiani Andrea, Giarratano Antonino, Pelosi Paolo, De Robertis Edoardo

机构信息

From the Department of Anesthesiology, Intensive Care and Pain Medicine Division, Department of Medicine and Surgery, University of Parma, Parma (EGB, MR, VB, CC), Center for Biostatistics, Epidemiology and Public Health, Department of Clinical and Biological Sciences, University of Torino, Turin (PB), Section of Anesthesia, Analgesia and Intensive Care, Department of Medicine and Surgery, University of Perugia, Perugia (GC, EdeR), Department of Anesthesia and Intensive Care, Istituto Nazionale Tumori-IRCCS, Fondazione Pascale, Naples (MC), Department of Anesthesia and Intensive Care, Azienda Ospedaliera-Universitaria 'Policlinico-San Marco', Catania (FS), University Department of Innovative Technologies in Medicine and Dentistry, Gabriele d'Annunzio University of Chieti-Pescara, Chieti (SMM), Department of Anesthesiology, Intensive Care Medicine, and Emergency, SS Annunziata Hospital, Chieti (SMM), Department of Anesthesia and Intensive Care, Infermi Hospital, AUSL Romagna, Rimini (JM), Department of Medical, Oral, and Biotechnological Sciences, University of Chieti-Pescara, Chieti (LV), Department of Anesthesia and Intensive Care, San Giovanni Bosco Hospital, Turin (EB), Department of Surgical, Oncological and Oral Science (Di.Chir.On.S.), University of Palermo, Palermo (AC, AG), Department of Anaesthesia, Intensive Care and Emergency, Policlinico Paolo Giaccone, Palermo (AC, AG), Anesthesia and Intensive Care, San Martino Policlinico Hospital, IRCCS for Oncology and Neurosciences, Genoa, Italy (PP) and Department of Surgical Sciences and Integrated Diagnostics, University of Genoa, Genoa, Italy (PP).

出版信息

Eur J Anaesthesiol Intensive Care. 2023 Aug 10;2(5):e0031. doi: 10.1097/EA9.0000000000000031. eCollection 2023 Oct.

DOI:10.1097/EA9.0000000000000031
PMID:39916807
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11783643/
Abstract

BACKGROUND: The potential role of artificial intelligence in enhancing human life and medical practice is under investigation but the knowledge of the topic among healthcare providers is under-investigated. OBJECTIVES: To investigate knowledge of artificial intelligence in physicians working in the field of anaesthesiology, intensive care, and pain medicine. As secondary outcomes, we investigated the main concerns on the implementation of artificial intelligence. DESIGN: Online survey. SETTING: Anaesthesiology, intensive care and pain medicine. VOLUNTEERS: We invited clinicians specialised in anaesthesia, resuscitation, intensive care and pain medicine who were active members of the European Society of Anaesthesiology and Intensive Care (ESAIC). INTERVENTION: Online survey from 28 June 2022 to 29 October 2022. MAIN OUTCOME MEASURES: Primary outcome was to investigate knowledge of artificial intelligence and telemedicine of participants. RESULTS: A total of 4465 e-mails were sent and 220 specialists, age 46.5 ± 10.2; 128 men (58.2%) responded to the survey. In general, some knowledge of artificial intelligence and machine learning was reported by 207 of 220 (94.1%) and 180 of 220 (81.8%) members, respectively. In anaesthesiology, 168 of 220 (76.4%) and 151 of 220 (68.6%) have heard of artificial intelligence and machine learning. In intensive care, 154 of 220 (70.0%) and 133 of 220 (60.5%) had heard of artificial intelligence and machine learning, while these figures were much lower in pain medicine [artificial intelligence: only 70/220 (31.8%) and machine learning 67/220 (30.5%)]. The main barriers to implementing these tools in clinical practice were: lack of knowledge of algorithms leading to the results; few validation studies available and not enough knowledge of artificial intelligence. Knowledge of telemedicine was reported in 212 of 220 (96.4%) members. CONCLUSION: Most anaesthesiologists are aware of artificial intelligence and machine learning. General thinking about the application of artificial intelligence in anaesthesiology, intensive care and pain management was positive overall, with most participants not considering this tool as a threat to their profession.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/88e3777a6962/ejaic-2-e0031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/e00afb62c5fb/ejaic-2-e0031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/7739966a4028/ejaic-2-e0031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/1d61d38f37a9/ejaic-2-e0031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/b40343521bb3/ejaic-2-e0031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/88e3777a6962/ejaic-2-e0031-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/e00afb62c5fb/ejaic-2-e0031-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/7739966a4028/ejaic-2-e0031-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/1d61d38f37a9/ejaic-2-e0031-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/b40343521bb3/ejaic-2-e0031-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1d36/11783643/88e3777a6962/ejaic-2-e0031-g005.jpg

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[1]
Artificial intelligence and telemedicine in the field of anaesthesiology, intensive care and pain medicine: A European survey.

Eur J Anaesthesiol Intensive Care. 2023-8-10

[2]
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[3]
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[6]
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[10]
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本文引用的文献

[1]
Attitudes of Anesthesiologists toward Artificial Intelligence in Anesthesia: A Multicenter, Mixed Qualitative-Quantitative Study.

J Clin Med. 2023-3-7

[2]
Assessing Barriers to Implementation of Machine Learning and Artificial Intelligence-Based Tools in Critical Care: Web-Based Survey Study.

JMIR Perioper Med. 2023-1-27

[3]
AI in the hands of imperfect users.

NPJ Digit Med. 2022-12-28

[4]
The Virtues of Interpretable Medical Artificial Intelligence.

Camb Q Healthc Ethics. 2022-12-16

[5]
Artificial intelligence-enhanced care pathway planning and scheduling system: content validity assessment of required functionalities.

BMC Health Serv Res. 2022-12-12

[6]
FDA Approves Artificial Intelligence Device for Guiding Regional Anesthesia.

JAMA. 2022-12-6

[7]
Recent Advancements in Emerging Technologies for Healthcare Management Systems: A Survey.

Healthcare (Basel). 2022-10-3

[8]
Humans versus machines: Who is perceived to decide fairer? Experimental evidence on attitudes toward automated decision-making.

Patterns (N Y). 2022-9-29

[9]
Moving towards clinical use of artificial intelligence in intensive care medicine: business as usual?

Intensive Care Med. 2022-12

[10]
Digital health technology-specific risks for medical malpractice liability.

NPJ Digit Med. 2022-10-20

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