Surgeons’ perspectives on artificial intelligence to support clinical decision-making in trauma and emergency contexts: results from an international survey

Background: Artificial intelligence (AI) is gaining traction in medicine and surgery. AI-based applications can offer tools to examine high-volume data to inform predictive analytics that supports complex decision-making processes. Time-sensitive trauma and emergency contexts are often challenging....

Full description

Bibliographic Details
Authors: Cobianchi L., Piccolo D., Dal Mas F., Agnoletti V., Ansaloni L., Balch J., Biffl W., Butturini G., Catena F., Coccolini F., Denicolai S., De Simone B., Frigerio I., Fugazzola P., Marseglia G., Marseglia G.R., Martellucci J., Modenese M., Previtali P., Ruta F., Venturi A., Kaafarani H.M., Loftus T.J., Abbott K.L., Abdelmalik A., Abebe N.S., Abu-Zidan F., Adam Y.A.Y., Adamou H., Adamovich D.M., Agresta F., Agrusa A., Akin E., Alessiani M., Alexandrino H., Ali S.M., Mihai V.A., Almeida P.M., Al-Shehari M.M., Altomare M., Amico F., Ammendola M., Andreuccetti J., Anestiadou E., Angelos P., Annicchiarico A., Antonelli A., Aparicio-Sanchez D., Ardito A., Argenio G., Arvieux C.C., Askevold I.H., Atanasov B.T., Augustin G., Awad S.S., Bacchiocchi G., Bagnoli C., Bahouth H., Baili E., Bains L., Baiocchi G.L., Bala M., Balagué C., Balalis D., Baldini E., Baraket O., Baral S., Barone M., Barranquero A.G., Barreras J.A., Bass G.A., Bayhan Z., Bellanova G., Ben-Ishay O., Bert F., Bianchi V., Biancuzzi H., Bidoli C., Radulescu R.B., Bignell M.B., Biloslavo A., Bini R., Bissacco D., Boati P., Boddaert G., Bogdanic B., Bombardini C., Bonavina L., Bonomo L., Bottari A., Bouliaris K., Brachini G., Brillantino A., Brisinda G., Bulanauca M.M., Buonomo L.A., Burcharth J., Buscemi S., Calabretto F., Calini G., Calu V., Campanile F.C., Dall’Orto R.C., Campos-Serra A., Campostrini S., Capoglu R., Carvas J.M., Cascella M., Pattacini G.C., Celentano V., Centonze D.C., Ceresoli M., Chatzipetris D., Chessa A., Chiarello M.M., Chirica M., Chooklin S., Chouliaras C., Chowdhury S., Cianci P., Cillara N., Cimbanassi S., Cioffi S.P.B., Colak E., Ruiz E.C., Conti L., Coppola A., De Sa T.C., Costa S.D., Cozza V., Curro’ G., Dabekaussen K.F.A.-S.A., D’acapito F., Damaskos D., D’ambrosio G., Das K., Davies R.J., De Beaux A.C., Fernandez S.P.L., De Luca A., De Stefano F., Degrate L., Demetrashvili Z., Demetriades A.K., Detanac D.S., Dezi A., Di Buono G., Di Carlo I., Di Lascio P., Di Martino M., Di Saverio S., Diaconescu B., Diaz J.J., Dibra R., Dimitrov E.N., Dinuzzi V.P., Dios-Barbeito S., Diyani J.F.A., Dogjani A., Domanin M., D’Oria M., Munoz-Cruzado V.D., East B., Ekelund M., Ekwen G.T., Elbaih A.H., Elhadi M., Enninghorst N., Ernisova M., Escalera-Antezana J.P., Esposito S., Esposito G., Estaire M., Farè C.N., Farre R., Favi F., Ferrario L., Vajana A.F.T., Filisetti C., Fleres F., Fonseca V.C., Forero-Torres A., Forfori F., Fortuna L., Fradelos E., Fraga G.P., Fransvea P., Frassini S., Frazzetta G., Pizzocaro E., Frountzas M., Gachabayov M., Galeiras R., Vazquez A.A.G., Gargarella S., Garzali I.U., Ghannam W.M., Ghazi F.N., Gillman L.M., Gioco R., Giordano A., Giordano L., Giove C., Giraudo G., Giuffrida M., Capponi M.G., Gois E., Jr., Gomes C.A., Gomes F.C., Gonsaga R.A.T., Gonullu E., Goosen J., Goranovic T., Gracia-Roman R., Graziano G.M.P., Griffiths E.A., Guagni T., Hadzhiev D.B., Haidar M.G., Hamid H.K.S., Hardcastle T.C., Hayati F., Healey A.J., Hecker A., Hecker M., Garcia E.F.H., Hodonou A.M., Huaman E.C., Huerta M., Ibrahim A.F., Ibrahim B.M.S., Ietto G., Inama M., Ioannidis O., Isik A., Ismail N., Ismail A.M.H., Jailani R.F., Jang J.Y., Kalfountzos C., Kalipershad S.N.R., Kaouras E., Kaplan L.J., Kara Y., Karamagioli E., Karamarkovia A., Katsaros I., Kavalakat A.J., Kechagias A., Kenig J., Kessel B.J., Khan J.S., Khokha V., Kim J.I., Kirkpatrick A.W., Klappenbach R., Kluger Y., Kobe Y., Lymperis E.K., Kok K.Y.Y., Kong V., Korkolis D.P., Koukoulis G., Kovacevic B., Kruger V.F., Kryvoruchko I.A., Kurihara H., Kuriyama A., Landaluce-Olavarria A., Lapolla P., Leppäniemi A., Licari L., Lisi G., Litvin A., Lizarazu A., Bayo H.L., Lohsiriwat V., Moreira C.C.L., Lostoridis E., Luna A.T., Luppi D., Machain V. G.M., Maegele M., Maggiore D., Magnone S., Maier R.V., Major P., Manangi M., Manetti A., Mantoglu B., Marafante C., Mariani F., Marinis A., Mariot E.A.S., Martines G., Perez A.M., Martino C., Mascagni P., Massalou D., Massaro M., Matías-García B., Mazzarella G., Mazzarolo G., Melo R.B., Mendoza-Moreno F., Meric S., Meyer J., Miceli L., Michalopoulos N.V., Milana F., Mingoli A., Mishra T.S., Mohamed M., Mohamed M.I.E.A., Mohamedahmed A.Y., Mohammed M.J.S., Mohan R., Moore E.E., Morales-Garcia D., Muhrbeck M., Mulita F., Mustafa S.M.S., Muttillo E.M., Naimzada M.D., Navsaria P.H., Negoi I., Nespoli L., Nguyen C., Nidaw M.K., Nigri G., Nikolopoulos I., O’connor D.B., Ogundipe H.D., Oliveri C., Olmi S., Ong E.C.W., Orecchia L., Osipov A.V., Othman M.F., Pace M., Pacilli M., Pagani L., Palomba G., Pantalone D., Panyko A., Paolillo C., Papa M.V., Papaconstantinou D., Papadoliopoulou M., Papadopoulos A., Papis D., Pararas N., Parreira J.G., Parry N.G., Pata F., Patel T., Paterson-Brown S., Pavone G., Pecchini F., Pegoraro V., Pellino G., Pelloni M., Peloso A., Del Pozo E.P., Pereira R.G., Pereira B.M., Perez A.L., Pérez S., Perra T., Perrone G., Pesce A., Petagna L., Petracca G., Phupong V., Picardi B., Picciariello A., Piccoli M., Picetti E., Pikoulis E.P., Pintar T., Pirozzolo G., Piscioneri F., Podda M., Porcu A., Privitera F., Punzo C., Quaresima S., Quiodettis M.A., Qvist N., Rahim R., de Almeida F.R., Ramely R.B., Rasa H.K., Reichert M., Reinisch-Liese A., Renne A., Riccetti C., Rodriguez-Luna M.R., Roizblatt D., Romanzi A., Romeo L., Roscio F.P.M., Rosnelifaizur R.B., Rossi S., Rubiano A.M., Ruiz-Ucar E., Sakakushev B.E., Salamea J.C., Sall I., Samarakoon L.B., Sammartano F., Arteaga A.S., Sanchez-Cordero S., Santoanastaso D.P.M., Sartelli M., Sasia D., Sato N., Savchuk A., Sawyer R.G., Scaioli G., Schizas D., Sebastiani S., Seeliger B., Lohse H.A.S., Seretis C., Sermonesi G., Serradilla-Martin M., Shelat V.G., Shlyapnikov S., Sidiropoulos T., Simoes R.L., Siragusa L., Siribumrungwong B., Slavchev M., Solaini L., Soldini G., Sopuev A., Soreide K., Sovatzidis A., Stahel P.F., Strickland M., Sultan M.A.H., Sydorchuk R., Sydorchuk L., Syed S.M.A.M., Tallon-Aguilar L., Tamburini A.M., Tamini N., Tan E.C.T.H., Tan J.H., Tarasconi A., Tartaglia N., Tartaglia G., Tartaglia D., Taylor J.V., Tebala G.D., Teuben M., Theodorou A., Tolonen M., Tomasicchio G., Toro A., Torre B., Triantafyllou T., Trigiante G.T., Tripepi M., Trostchansky J., Tsekouras K., Turrado-Rodriguez V., Tutino R., Uccelli M., Uchikov P.A., Ugarte-Sierra B., Ukkonen M.T., Vailas M., Vassiliu P.G., Vazquez A.G., Vazquez R.G., Velmahos G., Verde J.E., Verde J.M., Veroux M., Viganò J., Vilallonga R., Visconti D., Vittori A., Waledziak M., Wannatoop T., Widmer L.W., Wilson M.S.J., Woltz S., Wong T.H., Xenaki S., Yu B., Yule S., Zachariah S.K., Zacharis G., Zaghi C., Zakaria A.D., Zambrano D.A., Zampitis N., Zampogna B., Zanghì S., Zantedeschi M., Zapsalis K., Zattoni F., Zese M.
Format: article
Status:Published version
Publication Date:2023
Country:España
Institution:Institut d'Investigació i Innovació Parc Taulí (I3PT)
Repository:r-I3PT. Repositorio Institucional Producción Científica del Institut d'Investigació i Innovació Parc Taulí
OAI Identifier:oai:i3pt.fundanetsuite.com:p4506
Online Access:https://i3pt.portalinvestigacion.com/publicaciones/4506
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85145428951&doi=10.1186%2fs13017-022-00467-3&partnerID=40&md5=d6fec2fe6772e9c5075a7ee7703f0284
Access Level:Open access
Keyword:Artificial Intelligence
Clinical Decision-Making
Humans
Surgeons
Surveys and Questionnaires
artificial intelligence
clinical decision making
human
questionnaire
surgeon
Description
Summary:Background: Artificial intelligence (AI) is gaining traction in medicine and surgery. AI-based applications can offer tools to examine high-volume data to inform predictive analytics that supports complex decision-making processes. Time-sensitive trauma and emergency contexts are often challenging. The study aims to investigate trauma and emergency surgeons’ knowledge and perception of using AI-based tools in clinical decision-making processes. Methods: An online survey grounded on literature regarding AI-enabled surgical decision-making aids was created by a multidisciplinary committee and endorsed by the World Society of Emergency Surgery (WSES). The survey was advertised to 917 WSES members through the society’s website and Twitter profile. Results: 650 surgeons from 71 countries in five continents participated in the survey. Results depict the presence of technology enthusiasts and skeptics and surgeons’ preference toward more classical decision-making aids like clinical guidelines, traditional training, and the support of their multidisciplinary colleagues. A lack of knowledge about several AI-related aspects emerges and is associated with mistrust. Discussion: The trauma and emergency surgical community is divided into those who firmly believe in the potential of AI and those who do not understand or trust AI-enabled surgical decision-making aids. Academic societies and surgical training programs should promote a foundational, working knowledge of clinical AI. © The Author(s) 2023.