IJSRP, Volume 14, Issue 10, October 2024 Edition [ISSN 2250-3153]
Ghada Mohammed Daqdaqi, Fatmah Ali Bahri, Talal Ali Jamahi, Ashwaq Marwai Wafi, Adel Mohammed Hamdi, Anah Essa Mayan
Abstract:
This study investigates the impact of artificial intelligence (AI) on improving the preoperative process for tonsillectomy, a prevalent surgical surgery. Artificial intelligence has demonstrated potential in enhancing multiple facets of preoperative planning, including patient risk evaluation, tailored therapy suggestions, and the optimization of surgical results. The study emphasizes the advantages of artificial intelligence in minimizing human error, enhancing efficiency, and augmenting patient safety in tonsillectomy operations. Nonetheless, issues including data privacy, algorithm openness, and the necessity for rigorous clinical validation are recognized. This study finds that AI can significantly enhance preoperative tonsillectomy, contingent upon the resolution of ethical issues and technical constraints through collaboration between practitioners and AI developers.
Ghada Mohammed Daqdaqi, Fatmah Ali Bahri, Talal Ali Jamahi, Ashwaq Marwai Wafi, Adel Mohammed Hamdi, Anah Essa Mayan
(2024); Artificial Intelligence in Preoperative Tonsillectomy; International Journal of Scientific and Research Publications (IJSRP)
14(10) (ISSN: 2250-3153), DOI: http://dx.doi.org/10.29322/IJSRP.14.10.2024.p15452