Evidence map›Paper›PMID 40704275›Full record

ReviewCureus2025

Exploring the Potential of Artificial Intelligence (AI) and Augmented Reality (AR) in Neurological Disease Management: A Narrative Review.

Jennifer Ifeoma Anene, Abhimanyu Sharma, Arunveer Sharma, Iram Fatima, Neeraj Kancherla, Sarath Chandra Ponnada, Sai Krishna Ravuru, Christina Thymalil, Soura Rajeshwara, Anchit Chauhan and 3 more

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Digital Psychiatry with Virtual Reality and Augmented Reality: Recent Advances and Limitations.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jennifer Ifeoma AneneInternal Medicine, Ivano-Frankivsk National Medical University, Ivano-Frankivsk, UKR.
Abhimanyu SharmaInternal Medicine, SGRD (Sri Guru Ram Das) Institute of Medical Sciences and Research, Amritsar, IND.
Arunveer SharmaNursing, Toronto Metropolitan University, Toronto, CAN.
Iram FatimaInternal Medicine, Holy Name Medical Centre, Teaneck, USA.
Neeraj KancherlaInternal Medicine, Philadelphia College of Osteopathic Medicine, Philadelphia, USA.
Sarath Chandra PonnadaGeneral Medicine, Great Eastern Medical School and Hospital, Srikakulam, IND.
Sai Krishna RavuruMedicine, Great Eastern Medical School and Hospital, Srikakulam, IND.
Christina ThymalilInternal Medicine, Dr. Kiran C. Patel College of Osteopathic Medicine Nova Southeastern University (NSU-KPCOM), Fort Lauderdale, USA.
Soura RajeshwaraPsychiatry, Shimoga Institute of Medical Sciences, Shivamogga, IND.
Anchit ChauhanInternal Medicine, Maulana Azad Medical College, New Delhi, IND.
Shreya MuralidharanInternal Medicine, Vydehi Institute of Medical Sciences and Research Centre, Bangalore, IND.
Anirudh FnuInternal Medicine, All India Institute of Medical Sciences, Bathinda, Bathinda, IND.
Ballu RNeurology, University of Florida, Gainesville, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent advancements in artificial intelligence (AI) and augmented reality (AR) hold significant promise for revolutionizing the management of neurological diseases. These technologies enable enhanced diagnostic accuracy, personalized treatment plans, and innovative rehabilitation strategies. AI-driven systems can analyze complex neuroimaging data, track disease progression, and assist in neuroprosthetic interventions, while AR improves surgical precision and supports interactive, immersive training for healthcare professionals. This narrative review explores the current and potential applications of AI and AR in neurology, focusing on their impact on diagnosing and treating neurodegenerative disorders, stroke, and other neurological conditions. We also address the challenges of data security, bias in AI models, and the high cost of AR devices, along with the ethical implications of integrating these technologies into clinical practice. The review concludes with a discussion of future directions, emphasizing the need for larger, long-term studies, interdisciplinary collaborations, and policy frameworks to ensure the safe, equitable, and effective implementation of AI and AR in neurological care.

Indexed as

ai ethicsdigital twinsneurodegenerative disordersneurological diseasesneurorehabilitation

Identifiers

PMID40704275
PMCPMC12286622

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.