Journal of Clinical Medicine, Год журнала: 2024, Номер 13(22), С. 6745 - 6745
Опубликована: Ноя. 9, 2024
The integration of artificial intelligence (AI) in cytopathology is an emerging field with transformative potential, aiming to enhance diagnostic precision and operational efficiency. This umbrella review seeks identify prevailing themes, opportunities, challenges, recommendations related AI cytopathology. Utilizing a standardized checklist quality control procedures, this examines recent advancements future implications technologies domain. Twenty-one studies were selected through systematic process. has demonstrated promise automating refining processes, potentially reducing errors improving patient outcomes. However, several critical challenges need be addressed realize the benefits fully. underscores necessity for rigorous validation, ongoing empirical data on accuracy, protocols, effective existing clinical workflows. Ethical issues, including privacy algorithmic bias, must managed ensure responsible applications. Additionally, high costs substantial training requirements present barriers widespread adoption. Future directions highlight importance applying successful strategies from histopathology radiology Continuous research needed improve model interpretability, standardization. Developing incorporating into practice establishing comprehensive ethical regulatory frameworks will crucial overcoming these challenges. In conclusion, while holds significant advancing cytopathology, its full potential can only achieved by addressing cost, ethics. provides overview current advancements, identifies offers roadmap informed insights fields.
Язык: Английский
