Development and Content Analysis Protocol for Evaluating Artificial Intelligence in Drug-Related Information.

Journal: Journal of evaluation in clinical practice
PMID: 39679434

Abstract

INTRODUCTION: Artificial intelligence (AI) has significant transformative potential across various sectors, particularly in health care. This study aims to develop a protocol for the content analysis of a method designed to assess AI applications in drug-related information, specifically focusing on contraindications, adverse reactions, and drug interactions. By addressing existing challenges, this preliminary research seeks to enhance the safe and reliable integration of AI into healthcare practices.

Authors

  • Dantony Castro Barros de Donato
    Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
  • Guilherme José Aguilar
    Intersection, Ribeirão Preto, São Paulo, Brazil.
  • Lucas Gaspar Ribeiro
    Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
  • Luiz Ricardo Albano Dos Santos
    Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
  • Luana Michelly Aparecida Costa Dos Santos
    Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
  • Wilbert Dener Lemos Costa
    Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, São Paulo, Brazil.
  • Alan Maicon de Oliveira
    Intersection, Ribeirão Preto, São Paulo, Brazil.

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