A smartphone‐based standalone fluorescence spectroscopy tool for cervical precancer diagnosis in clinical conditions

• DOI: 10.1002/jbio.202300468
• Publication Date: 2024-03-18T06:55:59Z
• Authors: Shivam Shukla; Bhaswati Singha Deo; Chaitanya Vishwak...; Subrata Mishra; Shikha Ahirwar; Amar Nath Sah; Kiran Pandey; Sweta Singh; S. N. Prasad; Ashok Kumar Padhi; Mayukha Pal; Prasanta K. Panig...; Asima Pradhan
• Keywords: Adult; 03 medical and health sciences; Spectrometry, Fluorescence; 0302 clinical medicine; Humans; Uterine Cervical Neoplasms; Female; Smartphone; Middle Aged; Precancerous Conditions

AbstractReal‐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.