1. A smartphone‐based standalone fluorescence spectroscopy tool for cervical precancer diagnosis in clinical conditions.
- Author
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Shukla, Shivam, Deo, Bhaswati Singha, Vishwakarma, Chaitanya, Mishra, Subrata, Ahirwar, Shikha, Sah, Amar Nath, Pandey, Kiran, Singh, Sweta, Prasad, S. N., Padhi, Ashok Kumar, Pal, Mayukha, Panigrahi, Prasanta K., and Pradhan, Asima
- Abstract
Real‐time prediction about the severity of noncommunicable diseases like cancers is a boon for early diagnosis and timely cure. Optical techniques due to their minimally invasive nature provide better alternatives in this context than the conventional techniques. The present study talks about a standalone, field portable smartphone‐based device which can classify different grades of cervical cancer on the basis of the spectral differences captured in their intrinsic fluorescence spectra with the help of AI/ML technique. In this study, a total number of 75 patients and volunteers, from hospitals at different geographical locations of India, have been tested and classified with this device. A classification approach employing a hybrid mutual information long short‐term memory model has been applied to categorize various subject groups, resulting in an average accuracy, specificity, and sensitivity of 96.56%, 96.76%, and 94.37%, respectively using 10‐fold cross‐validation. This exploratory study demonstrates the potential of combining smartphone‐based technology with fluorescence spectroscopy and artificial intelligence as a diagnostic screening approach which could enhance the detection and screening of cervical cancer. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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