Deep Learning and AI in Digital Cytology
Ashwini S. Galande, Vikas Thapa, Aswathy Vijay, Sandeep Karunakaran, Alex C. Varghese, Kizhakkepurakkal Balachandran Megha, SS Athira, PV Mohanan, Renu John · 2025
The field of cytology has significantly improved with the implementation of AI algorithms right from data acquisition to disease diagnosis. The QPI techniques allowed for label-free cytology with additional phase information which will reveal some important quantitative characteristics of the sample. The synergy of QPI and AI techniques has broadened the horizons of live cell imaging in studying flow cytometry and cell dynamics. Further, the complexity of microscope set-ups can be reduced using AI algorithms that will improve the healthcare facilities in low-income countries and rural areas. If some of the challenges in implementing AI algorithms in cytology are overcome properly, then highly accurate, precise, and reliable disease diagnosis is possible in real-life scenarios.