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Readiness to Embrace Artificial Intelligence Among Medical Doctors and Students: Questionnaire-Based Study.

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Medical Education

Background:

  • Artificial intelligence (AI) is increasingly applied in medicine for diagnostics and treatment, yet physician readiness is unclear.
  • Understanding AI's role is becoming as essential as understanding traditional medical devices.
  • The integration of AI necessitates evaluating the preparedness of healthcare professionals.

Purpose of the Study:

  • To assess the familiarity of medical doctors and students with AI in medicine.
  • To identify challenges, barriers, and risks associated with AI adoption in healthcare.
  • To understand the current educational landscape regarding AI for medical professionals.

Main Methods:

  • A web-based questionnaire was developed through a literature search.
  • The survey covered demographics, AI concepts, training, implementation, and risks.
  • 207 participants (105 doctors, 102 students) from diverse global regions completed the study.

Main Results:

  • Familiarity with AI was similar between doctors and students (P=.91).
  • Both groups reported low familiarity (doctors: 2.06/5, students: 2.11/5) and limited recent AI training.
  • Students perceived higher risks from AI, with skill degradation being a key concern for both groups.

Conclusions:

  • AI integration in healthcare is inevitable, transitioning from 'if' to 'when'.
  • Low AI familiarity highlights the urgent need for dedicated education and training in medical schools and hospitals.
  • Implementing targeted AI training is essential for medical professionals to effectively utilize AI for improved patient outcomes.