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Current use of artificial intelligence in the diagnosis and management of acute appendicitis.
Cappuccio, Micaela; Bianco, Paolo; Rotondo, Marco; Spiezia, Salvatore; D'Ambrosio, Marco; Menegon Tasselli, Francesco; Guerra, Germano; Avella, Pasquale.
Affiliation
  • Cappuccio M; Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy.
  • Bianco P; Hepatobiliary and Pancreatic Surgery Unit, Pineta Grande Hospital, Castel Volturno, Caserta, Italy.
  • Rotondo M; V. Tiberio Department of Medicine and Health Sciences, University of Molise, Campobasso, Italy.
  • Spiezia S; V. Tiberio Department of Medicine and Health Sciences, University of Molise, Campobasso, Italy.
  • D'Ambrosio M; V. Tiberio Department of Medicine and Health Sciences, University of Molise, Campobasso, Italy.
  • Menegon Tasselli F; General Surgery Unit, A. Cardarelli Hospital, Campobasso, Italy.
  • Guerra G; V. Tiberio Department of Medicine and Health Sciences, University of Molise, Campobasso, Italy.
  • Avella P; Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy - avella.p@libero.it.
Minerva Surg ; 79(3): 326-338, 2024 Jun.
Article in En | MEDLINE | ID: mdl-38477067
ABSTRACT

INTRODUCTION:

Acute appendicitis is a common and time-sensitive surgical emergency, requiring rapid and accurate diagnosis and management to prevent complications. Artificial intelligence (AI) has emerged as a transformative tool in healthcare, offering significant potential to improve the diagnosis and management of acute appendicitis. This review provides an overview of the evolving role of AI in the diagnosis and management of acute appendicitis, highlighting its benefits, challenges, and future perspectives. EVIDENCE ACQUISITION We performed a literature search on articles published from 2018 to September 2023. We included only original articles. EVIDENCE

SYNTHESIS:

Overall, 121 studies were examined. We included 32 studies 23 studies addressed the diagnosis, five the differentiation between complicated and uncomplicated appendicitis, and 4 studies the management of acute appendicitis.

CONCLUSIONS:

AI is poised to revolutionize the diagnosis and management of acute appendicitis by improving accuracy, speed and consistency. It could potentially reduce healthcare costs. As AI technologies continue to evolve, further research and collaboration are needed to fully realize their potential in the diagnosis and management of acute appendicitis.
Subject(s)

Full text: 1 Database: MEDLINE Main subject: Appendicitis / Artificial Intelligence Limits: Humans Language: En Journal: Minerva Surg Year: 2024 Type: Article Affiliation country: Italy

Full text: 1 Database: MEDLINE Main subject: Appendicitis / Artificial Intelligence Limits: Humans Language: En Journal: Minerva Surg Year: 2024 Type: Article Affiliation country: Italy