Grayson L. Baird

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

2023 · 113 Zit. · European Radiology

Rise of ChatGPT: It May Be Time to Reassess How We Teach and Test Radiology Residents

2023 · 29 Zit. · Radiology

Randomized Study of the Impact of AI on Perceived Legal Liability for Radiologists

2025 · 15 Zit. · NEJM AI

The Impact of Emerging Technologies on Residency Selection by Medical Students in 2017 and 2021, With a Focus on Diagnostic Radiology

2022 · 13 Zit. · Academic Radiology

Implementing an AI algorithm in the clinical setting: a case study for the accuracy paradox

2024 · 10 Zit. · European Radiology

Accessing AI mammography reports impacts patient follow-up behaviors: the unintended consequences of including AI in patient portals

2025 · 4 Zit. · npj Digital Medicine

Accessing AI mammography reports impacts patient interest in pursuing a medical malpractice claim: The unintended consequences of including AI in patient portals

2024 · 4 Zit.

Just because you’re paranoid doesn’t mean they won’t side with the plaintiff: Examining perceptions of liability about AI in radiology

2024 · 3 Zit.

What Happens When AI Is Wrong?

2023 · 2 Zit. · Radiology

The radiologist–AI workflow and the risk of medical malpractice claims

2026 · 1 Zit. · Nature Health

A Unified Platform for Radiology Report Generation and Clinician-Centered AI Evaluation

2025 · 1 Zit.

Letter to the Editor: Radiologist burnout—AI’s true black box

2026 · 1 Zit. · European Radiology

Is a score enough? Pitfalls and solutions for AI severity scores

2025 · 1 Zit. · European Radiology Experimental

Artificial Intelligence and Its Impact on Radiology: Summary of the 2024 Intersociety Summer Conference

2025 · 1 Zit. · Journal of the American College of Radiology

The Impact of AI Accuracy Is Probably Overstated

2023 · 0 Zit. · Radiology