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Vol. 1 No. 2 (2024)

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September 20, 2026
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December 31, 2024

Copyright (c) 2024 Fadhel Alhakeem, Adel Ahmed Harthi, Hajah Mohamad Azybi, Ahlam Mohammed Almotire, Nawal Ali Mohd Walby, Hajar Marzouq Alharbi, Ahmad Rodiman Alenezi, Rizq Mohammad Ahmad Alrajhi, Abdullah Ali Hussain Mobarki, Ahmed Salem Mohammed Al-Harthi, Ahmed Nasserallah Al-Miskeen

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Artificial Intelligence–Enabled Multidisciplinary Surgical Care: Integrating Laboratory Diagnostics, Radiology, Pharmacy, Nursing, Operating Room Practice, and Oral–Maxillofacial Surgery

https://doi.org/10.64483/202412781
Fadhel Alhakeem
King Fahad Hospital in Al Hofuf, Ministry of Health, Saudi Arabia
Adel Ahmed Harthi
Alhurrath General Hospital, Jazan, Ministry of Health, Saudi Arabia
Hajah Mohamad Azybi
Samtah General Hospital, Ministry of Health , Saudi Arabia
Ahlam Mohammed Almotire
Bagedo Primary Health Care Center, Madinah, Ministry of Health, Saudi Arabia
Nawal Ali Mohd Walby
King Khalid Hospital Alkharj, Ministry of Health, Saudi Arabia
Hajar Marzouq Alharbi
King Khalid Hospital Alkharj, Ministry of Health, Saudi Arabia
Ahmad Rodiman Alenezi
King Khalid Hospital Alkharj, Ministry of Health, Saudi Arabia
Rizq Mohammad Ahmad Alrajhi
Medical Supply Jazan, Ministry of Health , Saudi Arabia
Abdullah Ali Hussain Mobarki
Medical Supply Jazan, Ministry of Health, Saudi Arabia
Ahmed Salem Mohammed Al-Harthi
Abqaiq General Hospital, Abqaiq Governorate, Eastern Province Health Cluster, Ministry of Health, Saudi Arabia
Ahmed Nasserallah Al-Miskeen
Abqaiq General Hospital, Abqaiq Governorate, Eastern Province Health Cluster, Ministry of Health, Saudi Arabia

Corresponding Author(s) : Fadhel Alhakeem

mmkzo00016@gmail.com

Saudi Journal of Medicine and Public Health, Vol. 1 No. 2 (2024)

Abstract

Artificial intelligence (AI) is reshaping surgical care across multiple disciplines, yet integration remains fragmented. This narrative review synthesizes evidence (2016–2024) on AI applications spanning laboratory diagnostics, radiology, pharmacy, nursing, operating room practice, and oral–maxillofacial surgery. AI enhances laboratory quality control and predictive analytics, improves radiological segmentation and three-dimensional surgical planning, supports perioperative medication safety through clinical decision support, augments nursing surveillance and operating room teamwork, and demonstrates diagnostic and prognostic utility in oral–maxillofacial surgery. However, translation is constrained by data heterogeneity, algorithmic opacity, workflow misalignment, and absent integration architectures. Central command suite concepts offer a unifying framework. This review argues that AI should function as a connective layer across surgical disciplines, preserving clinician oversight while enabling multidisciplinary data synthesis and real-time decision support.

Keywords

artificial intelligence; multidisciplinary surgical care; clinical decision support; oral–maxillofacial surgery; perioperative medicine
Alhakeem, F., Harthi, A. A., Azybi, H. M., Almotire, A. M., Walby, N. A. M., Alharbi, H. M., … Al-Miskeen, A. N. (2024). Artificial Intelligence–Enabled Multidisciplinary Surgical Care: Integrating Laboratory Diagnostics, Radiology, Pharmacy, Nursing, Operating Room Practice, and Oral–Maxillofacial Surgery. Saudi Journal of Medicine and Public Health, 1(2), 2597–2606. https://doi.org/10.64483/202412781
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