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ORIGINAL RESEARCH article

Front. Digit. Health

Sec. Health Technology Implementation

Volume 7 - 2025 | doi: 10.3389/fdgth.2025.1556921

This article is part of the Research Topic Advances in Artificial Intelligence Transforming the Medical and Healthcare Sectors View all 5 articles

Physicians and AI in Healthcare: Insights from a Mixed-Methods Study in Poland on Adoption and Challenges

Provisionally accepted
  • Kozminski University, Warsaw, Poland

The final, formatted version of the article will be published soon.

    Understanding healthcare professionals' attitudes towards artificial intelligence (AI) in medicine is crucial for improving patient care and clinical practice. This study combines a systematic review and a survey targeting Polish physicians to explore these attitudes. While many healthcare professionals express enthusiasm and readiness for AI integration, others remain skeptical due to concerns about reliability, ethical implications, and legal accountability.Introduction The systematic review highlighted AI's potential benefits, such as improved diagnostic accuracy and workflow efficiency, alongside challenges like data privacy and the need for validation in atypical scenarios.Materials and Methods This study combines insights from a systematic review and a targeted survey to assess healthcare professionals' attitudes toward AI. The survey focused on Polish physicians, a group uniquely positioned to provide insights due to their healthcare system's specific challenges.The survey revealed optimism among Polish physicians (n86), with 68% ready to adopt AI tools, but underscored the necessity of tailored education and clear implementation guidelines.Discussion This study provides valuable insights into the dual narrative of optimism and skepticism surrounding AI in healthcare, emphasizing the importance of addressing barriers to maximize its benefits globally.

    Keywords: Artificial intelligence (AI), healthcare professionals, Physician attitudes, Systemic review, Polish healthcare system

    Received: 07 Jan 2025; Accepted: 12 Feb 2025.

    Copyright: © 2025 Kowalewska. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Ewelina Kowalewska, Kozminski University, Warsaw, Poland

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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