AI Medical Compendium Journal:
Advances in anatomic pathology

Showing 1 to 6 of 6 articles

Artificial Intelligence and Lung Pathology.

Advances in anatomic pathology
This manuscript provides a comprehensive overview of the application of artificial intelligence (AI) in lung pathology, particularly in the diagnosis of lung cancer. It discusses various AI models designed to support pathologists and clinicians. AI m...

Application of ChatGPT in Routine Diagnostic Pathology: Promises, Pitfalls, and Potential Future Directions.

Advances in anatomic pathology
Large Language Models are forms of artificial intelligence that use deep learning algorithms to decipher large amounts of text and exhibit strong capabilities like question answering and translation. Recently, an influx of Large Language Models has e...

Artificial Intelligence in Pathology: A Simple and Practical Guide.

Advances in anatomic pathology
Artificial intelligence (AI) is having an increasing impact on the field of pathology, as computation techniques allow computers to perform tasks previously performed by people. Here, we offer a simple and practical guide to AI methods used in pathol...

Implementing Deep Learning Algorithms in Anatomic Pathology Using Open-source Deep Learning Libraries.

Advances in anatomic pathology
The application of artificial intelligence technologies to anatomic pathology has the potential to transform the practice of pathology, but, despite this, many pathologists are unfamiliar with how these models are created, trained, and evaluated. In ...

Explainable AI (xAI) for Anatomic Pathology.

Advances in anatomic pathology
Pathologists are adopting whole slide images (WSIs) for diagnosis, thanks to recent FDA approval of WSI systems as class II medical devices. In response to new market forces and recent technology advances outside of pathology, a new field of computat...