A comprehensive exploration of artificial intelligence in orthopaedics within lower-middle-income countries: a narrative review

被引：2

作者：

Banatwala, Umm E. Salma Shabbar ^{[1
]}

Ibrahim, Muhammad Talal ^{[2
]}

Shaikh, Reyan Hussain ^{[3
]}

Shahzad, Hania ^{[4
]}

Hoodbhoy, Zahra ^{[5
]}

Noordin, Shahryar ^{[1
]}

机构：

[1] Dow Univ Hlth Sci, Karachi, Pakistan

[2] Aga Khan Univ Hosp, Dept Surg, Sect Orthopaed, Karachi, Pakistan

[3] Aga Khan Univ, Med Coll, Karachi, Pakistan

[4] UC Davis Hlth, Dept Orthopaed, Sacramento, CA USA

[5] Aga Khan Univ, Dept Paediat & Child Hlth, Karachi, Pakistan

来源：

JOURNAL OF THE PAKISTAN MEDICAL ASSOCIATION | 2024年 / 74卷 / 04期

关键词：

Artificial Intelligence; Orthopaedics; Health Services; Patient Care; Bone Neoplasms; Physicians; precision medicine; predictive analysis;

D O I：

10.47391/JPMA.AKU-9S-14

中图分类号：

R5 [内科学];

学科分类号：

1002 ; 100201 ;

摘要：

Integrating Artificial Intelligence (AI) in orthopaedic within lower -middle -income countries (LMICs) promises landmark improvement in patient care. Delving into specific use cases-fracture detection, spine imaging, bone tumour classification, and joint surgery optimisation-the review illuminates the areas where AI can significantly enhance orthopaedic practices. AI could play a pivotal role in improving diagnoses, enabling early detection, and ultimately enhancing patient outcomes- crucial in regions with constrained healthcare services. Challenges to the integration of AI include financial constraints, shortage of skilled professionals, data limitations, and cultural and ethical considerations. Emphasising AI's collaborative role, it can act as a complementary tool working in tandem with physicians, aiming to address gaps in healthcare access and education. We need continued research and a conscientious approach, envisioning AI as a catalyst for equitable, efficient, and accessible orthopaedic healthcare for patients in LMICs.

引用

页码：90 / 96

页数：7

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