AI in Cytopathology: A Narrative Umbrella Review on Innovations, Challenges, and Future Directions DOI Open Access
Daniele Giansanti

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

Special issue European Journal of Physiology: Artificial intelligence in the field of physiology and medicine DOI Creative Commons
Anika Westphal, Ralf Mrowka

Pflügers Archiv - European Journal of Physiology, Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

Abstract This special issue presents a collection of reviews on the recent advancements and applications artificial intelligence (AI) in medicine physiology. The topics covered include digital histopathology, generative AI, explainable AI (XAI), ethical considerations development implementation. highlight potential to transform medical diagnostics, personalized medicine, clinical decision making, while also addressing challenges such as data quality, interpretability, trustworthiness. contributions demonstrate growing importance physiological research need for multi-level ethics approaches development, benefits applications. Overall, this showcases some pioneering aspects physiology, covering technical, applicative, viewpoints, underlines remarkable impact these fields.

Язык: Английский

Процитировано

0

AI in Cytopathology: A Narrative Umbrella Review on Innovations, Challenges, and Future Directions DOI Open Access
Daniele Giansanti

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

Процитировано

2