AI in neurodegenerative disorders: A neurosurgical perspective

Ahmad Reshad Payenda 1, *, Waseem Dad Khan 2, Shabna Shafiq 3, Yousuf  Shafiq 4, Behesta Shafiq 5 and Mustafa Shafiq 6

1 Northwest General Hospital & Research Center, Postgraduate Resident, Neurosurgery Department, Peshawar, Pakistan.
2 Northwest General Hospital & Research Center, Registerar, Neurosurgery Department, Peshawar, Pakistan.
3 Malalai Maternity Hospital, Postgraduate Resident, Obstetrics & Gynaecology Department, Kabul, Afghanistan. 
4 Ariana Medical Complex, Medical Officer, Cardiology Department, Kabul, Afghanistan. 
5 Ariana Medical Complex, Medical Officer, Cardiology Department, Kabul, Afghanistan.
6 Wazir Akbar Khan Hospital, Registerar, General Medicine Department, Kabul, Afghanistan.
 
Review Article
World Journal of Advanced Research and Reviews, 2024, 24(01), 1453–1455
Article DOI: 10.30574/wjarr.2024.24.1.3173
 
Publication history: 
Received on 08 September 2024; revised on 15 October 2024; accepted on 17 October 2024
 
Abstract: 
This paper investigates the application of artificial intelligence (AI) in diagnosing and managing neurodegenerative disorders that require neurosurgical intervention, such as Parkinson's disease (PD) and Alzheimer's disease (AD). A systematic review of the literature was conducted to identify studies that utilized AI techniques for diagnosis, treatment planning, or post-operative monitoring of these conditions. The results demonstrate the potential of AI to improve early detection, treatment outcomes, and patient care. However, challenges such as data quality, explainability, and ethical considerations must be addressed to ensure the responsible and effective integration of AI into clinical practice.
 
Keywords: 
Artificial Intelligence; Neurodegenerative Disorders; Parkinson's Disease; Alzheimer's Disease; Neurosurgery; Diagnosis; Treatment Planning; Post-Operative Monitoring
 
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