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IMHSC 2024 Conference Proceedings


Paper No: 9
Paper Title: Dendritic crystal formation and growth of biological solutions and its AI aided image analysis for medical applications


AUTHORS:
Yao-Xiong Huang Department of Biomedical Engineering, Jinan University, Guang Zhou, China

ABSTRACT:
The studies on the dendritic crystallization of biological solutions are significant for medical applications. This manuscript reports our systematic study on the solution dendritic crystallization as a function of temperature, pH value, and the concentrations of its major components. And the factors that cause the variation in the crystal patterns, the distribution of the main components in the crystals, and the sequence of their deposition or crystallization. By summarizing the general crystallization behavior and formation mechanisms of biological solutions, we proposed the methods of crystal pattern analysis for the solution characteristics tests or growing the crystals with desired patterns for different purposes. By the methods, one can conduct a quantitative test on a solution by analyzing its evaporated crystallization patterns. Therefore, the chemical compound measurements that usually need to use analytical instruments can be transferred to simple pattern recognition and analysis and make it become an objective test. With a smartphone-based portable imaging device, the crystal pattern analysis method can be a powerful means for daily use of medical and biochemical point-of-care testing (POCT). On this basis, we developed a simple smartphone-based salivary crystallization imaging system with functions of AI-aided rapid automatic pattern recognition and analysis to help pregnant women monitor their fetus status daily at home and predict their delivery date by analyzing their saliva crystallization. The method combines the information of the fractal dimension with some specific forms of crystals in the salivary crystallization and estimates the delivery date in both quantitative and qualitative manners. The accuracy of the prediction was satisfactory, with 100% delivery in the predicted week, 93.3% within the three days, and 86.7% on the day as the prediction. Besides pregnant women's delivery date estimation, the detecting system would be valid for other medical applications.

Keywords: Dendritic Crystallization, Biological Solution, AI-aided Pattern Recognition and Analysis, Pregnant Women Saliva, Fetal Status, Delivery Date

Conference Venue: Male, Maldives
Conference Date: 5-7 November 2024

ISBN Number: 978-625-00-7517-3
DOI Number: https://doi.org/10.53375/imhsc.2024.9


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