Artificial intelligence chatbots versus traditional medical resources for patient education on "Labor Epidurals": an evaluation of accuracy, emotional tone, and readability.

Journal: International journal of obstetric anesthesia
PMID: 39657284

Abstract

BACKGROUND: Labor epidural analgesia is a widely used method for pain relief in childbirth, yet information accessibility for expectant mothers remains a challenge. Artificial intelligence (AI) chatbots like Chat Generative Pre-Trained Transformer (ChatGPT) and Google Gemini offer potential solutions for improving patient education. This study evaluates the accuracy, readability, and emotional tone of AI chatbot responses compared to the American Society of Anesthesiologists (ASA) online materials on labor epidurals.

Authors

  • Prakash Gyandev Gondode
    Department of Anaesthesiology Pain Medicine and Critical Care, All India Institute of Medical Sciences, New Delhi, India. Electronic address: drprakash777@gmail.com.
  • Ram Singh
    Department of Anaesthesiology Pain Medicine and Critical Care, All India Institute of Medical Sciences, New Delhi, India. Electronic address: dr.ram2001@gmail.com.
  • Swati Mehta
    Department of Anaesthesiology Pain Medicine and Critical Care, All India Institute of Medical Sciences, New Delhi, India. Electronic address: drswatimehta@yahoo.com.
  • Sneha Singh
    Department of Anaesthesiology Pain Medicine and Critical Care, All India Institute of Medical Sciences, New Delhi, India. Electronic address: drsinghsneha@gmail.com.
  • Subodh Kumar
    Department of Medical Laboratory Technology, School of Allied Health Sciences, Delhi Pharmaceutical Sciences and Research University, Delhi 110017, India.
  • Sudhansu Sekhar Nayak
    Department of Anaesthesiology Pain Medicine and Critical Care, All India Institute of Medical Sciences, New Delhi, India. Electronic address: nayak.sudhansusekhar@gmail.com.

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