Advances in Digital Cytopathology and Artificial Intelligence Applications

Area of Science:

• Pathology
• Medical Informatics
• Artificial Intelligence

Background:

• Cytopathology pioneered artificial intelligence (AI) for cervical cytology screening.
• AI applications for nongynecologic cytology are emerging but face digitization challenges.
• Digital cytopathology workflows are being adopted, replacing traditional methods.

Purpose of the Study:

• To review recent advancements in digital cytopathology.
• To discuss potential use cases of AI in routine cytopathology practice.
• To highlight the evolution of digital diagnostic solutions in cytology.

Main Methods:

• Review of recent literature on digital cytopathology and AI.
• Analysis of technical challenges and advancements in digital workflow implementation.
• Identification of current and prospective AI applications in cytopathology.

Main Results:

• Digital cytopathology has advanced, with virtual telecytology systems replacing onsite evaluations.
• The Hologic Genius system is FDA-approved for cervical cytology screening.
• AI offers prospects for automating sample preparation, screening, biomarker quantitation, and quality control.

Conclusions:

• Digital cytopathology is rapidly evolving, presenting new diagnostic possibilities.
• AI integration promises to enhance efficiency and accuracy in cytopathology.
• Further development of AI validation and best-practice guidelines is needed for digital cytopathology.