Establishment and application of artificial intelligence voice follow-up system for differentiated thyroid cancer

GUO Sijin; YAN Changjiao; WANG Yang; CAO Xiaohua; WANG Ting

doi:10.7619/jcmp.20241127

Journal of Clinical Medicine in Practice > 2024 > 28(16): 1-4, 9. > DOI: 10.7619/jcmp.20241127

GUO Sijin, YAN Changjiao, WANG Yang, CAO Xiaohua, WANG Ting. Establishment and application of artificial intelligence voice follow-up system for differentiated thyroid cancer[J]. Journal of Clinical Medicine in Practice, 2024, 28(16): 1-4, 9. DOI: 10.7619/jcmp.20241127

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Establishment and application of artificial intelligence voice follow-up system for differentiated thyroid cancer

Department of Thyroid and Breast Vascular Surgery, the First Affiliated Hospital of Air Force Medical University of the Chinese People's Liberation Army, Xi'an, Shaanxi, 710032

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Received Date: March 17, 2024
Revised Date: May 23, 2024

Graphical Abstract

Abstract

Abstract

Objective
To establish an artificial intelligence voice follow-up system for differentiated thyroid cancer and evaluate the completeness and accuracy of information collection by this system.
Methods
Based on the postoperative medication and follow-up status of patients with differentiated thyroid cancer, an artificial intelligence voice follow-up system for differentiated thyroid cancer was established. From February 25 to 29, 2024, a total of 2, 471 differentiated thyroid cancer patients without follow-up in the thyroid cancer database management system of the Department of Thyroid and Breast Vascular Surgery of the Hospital were followed up by telephone, and 220 patients (approximately 10% of the total) were randomly selected for completeness and accuracy analyses of their call records.
Results
This study successfully established an artificial intelligence voice follow-up system for differentiated thyroid cancer, and the overall call connection rate was 88.9%. For patients with successful calls, the average follow-up time of the artificial intelligence voice follow-up system was (1.7±0.5) minutes, the overall information collection completeness rate was 83.8%, with a completeness rate of 92.9% for follow-up at 3 months after surgery and 82.7% for long-term follow-up, and the differences were statistically significant (χ²=15.200, P < 0.001). The accuracy rate of information collection by this follow-up system was 94.1%. The accuracy rates of information collection for patients who spoke dialect and Mandarin during follow-up were 92.2% and 95.4% respectively, and the difference was not statistically significant (χ²=0.957, P=0.389).
Conclusion
The artificial intelligence voice follow-up system for differentiated thyroid cancer has high efficiency, completeness, and accuracy in information collection, which can reduce human costs for follow-up and has good application prospects in large-scale follow-up of populations with differentiated thyroid cancer.
- differentiated thyroid cancer,
- artificial intelligence,
- follow-up system,
- telephone follow-up,
- information collection

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References

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Establishment and application of artificial intelligence voice follow-up system for differentiated thyroid cancer