David S. McClintock

Challenges in the Development, Deployment, and Regulation of Artificial Intelligence in Anatomic Pathology

2020 · 107 Zit. · American Journal Of Pathology

Computational pathology in 2030: a Delphi study forecasting the role of AI in pathology within the next decade

2023 · 97 Zit. · EBioMedicine

Artificial intelligence and digital pathology: clinical promise and deployment considerations

2023 · 39 Zit. · Journal of Medical Imaging

Organizational preparedness for the use of large language models in pathology informatics

2023 · 29 Zit. · Journal of Pathology Informatics

Embedding Internal Accountability Into Health Care Institutions for Safe, Effective, and Ethical Implementation of Artificial Intelligence Into Medical Practice: A Mayo Clinic Case Study

2024 · 10 Zit. · Mayo Clinic Proceedings Digital Health

Establishing a comprehensive artificial intelligence lifecycle framework for laboratory medicine and pathology: A series introduction

2025 · 4 Zit. · American Journal of Clinical Pathology

The future of computational pathology: expectations regarding the anticipated role of artificial intelligence in pathology by 2030

2022 · 3 Zit. · medRxiv

Clinical AI model translation and deployment: creating a scalable, standardized, and responsible AI lifecycle framework in healthcare

2024 · 1 Zit.

A clinical laboratorian’s journey in developing a machine learning algorithm to assist in testing utilization and stewardship

2023 · 0 Zit. · Journal of Laboratory and Precision Medicine

Artificial intelligence model development, deployment, and regulatory challenges in anatomic pathology

2024 · 0 Zit. · Elsevier eBooks

Clarifying validation terminologies in healthcare

2026 · 0 Zit. · npj Digital Medicine