Effects of AI on Malpractice in Radiology:
1. Bernstein, M. H., Sheppard, B., Bruno, M. A., Lay, P. S., & Baird, G. L. (2024). Just because you’re paranoid doesn’t mean they won’t side with the plaintiff: Examining perceptions of liability about AI in radiology. medRxiv, 2024-07.
https://www.medrxiv.org/content/10.1101/2024.07.30.24311234v2

2. Song, E. C., Bernstein, M. H., Lay, P. S., Druart, L., Dibble, E. H., Lourenco, A. P., & Baird, G. L. (2024). Accessing AI mammography reports impacts patient interest in pursuing a medical malpractice claim: The unintended consequences of including AI in patient portals. medRxiv, 2024-12.
https://www.medrxiv.org/content/10.1101/2024.12.27.24319688v1

3. Bernstein, M. H., Atalay, M. K., Dibble, E. H., Maxwell, A. W., Karam, A. R., Agarwal, S., … & Baird, G. L. (2023). Can incorrect artificial intelligence (AI) results impact radiologists, and if so, what can we do about it? A multi-reader pilot study of lung cancer detection with chest radiography. European radiology, 33(11), 8263-8269.
https://link.springer.com/article/10.1007/s00330-023-09747-1

4. Scaringi, J. A., McTaggart, R. A., Alvin, M. D., Atalay, M., Bernstein, M. H., Jayaraman, M. V., … & Baird, G. L. (2024). Implementing an AI algorithm in the clinical setting: a case study for the accuracy paradox. European Radiology, 1-7.
https://link.springer.com/article/10.1007/s00330-024-11332-z