Literature DB >> 33714710

Management of abdominal emergencies in adults using telemedicine and artificial intelligence.

G Gorincour1, O Monneuse2, A Ben Cheikh3, J Avondo4, P-F Chaillot5, C Journe5, E Youssof6, J-C Lecomte7, V Thomson3.   

Abstract

The terms "telemedicine" and "artificial intelligence" (AI) are used today throughout all fields of medicine, with varying degrees of relevance. If telemedicine corresponds to practices currently being developed to supply a high quality response to medical provider shortages in the general provision of healthcare and to specific regional challenges. Through the possibilities of "scalability" and the "augmented physician" that it has helped to create, AI may also constitute a revolution in our practices. In the management of surgical emergencies, abdominal pain is one of the most frequent complaints of patients who present for emergency consultation, and up to 20% of patients prove to have an organic lesion that will require surgical management. In view of the very large number of patients concerned, the variety of clinical presentations, the potential seriousness of the etiological pathology that sometimes involves a life-threatening prognosis, healthcare workers responsible for these patients have logically been led to regularly rely on imaging examinations, which remain the critical key to subsequent management. Therefore, it is not surprising that articles have been published in recent years concerning the potential contributions of telemedicine (and teleradiology) to the diagnostic management of these patients, and also concerning the contribution of AI (albeit still in its infancy) to aid in diagnosis and treatment, including surgery. This review article presents the existing data and proposes a collaborative vision of an optimized patient pathway, giving medical meaning to the use of these tools.
Copyright © 2021 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Abdominal emergencies; Artificial intelligence; Telemedicine; Teleradiology

Year:  2021        PMID: 33714710     DOI: 10.1016/j.jviscsurg.2021.01.008

Source DB:  PubMed          Journal:  J Visc Surg        ISSN: 1878-7886            Impact factor:   2.043


  2 in total

1.  How artificial intelligence improves radiological interpretation in suspected pulmonary embolism.

Authors:  Alexandre Ben Cheikh; Guillaume Gorincour; Hubert Nivet; Julien May; Mylene Seux; Paul Calame; Vivien Thomson; Eric Delabrousse; Amandine Crombé
Journal:  Eur Radiol       Date:  2022-03-22       Impact factor: 7.034

Review 2.  Large Bowel Ischemia/Infarction: How to Recognize It and Make Differential Diagnosis? A Review.

Authors:  Francesca Iacobellis; Donatella Narese; Daniela Berritto; Antonio Brillantino; Marco Di Serafino; Susanna Guerrini; Roberta Grassi; Mariano Scaglione; Maria Antonietta Mazzei; Luigia Romano
Journal:  Diagnostics (Basel)       Date:  2021-05-30
  2 in total

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