Adarsh Mallepally

Adarsh Mallepally

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Adarsh Mallepally

Department of Ophthalmology, Virginia Commonwealth University Health System, Richmond, VA, USA

Research Focus & Metrics

Academic Career Length

3Years (2024-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2025 in Radiology
Verified
Journal Article
Closed access
AMAdarsh Mallepally
Adarsh Mallepally
JKJason M. Kidd
Jason M. Kidd
JGJohn D. Grizzard
John D. Grizzard
HSHuzaefah J. Syed
Huzaefah J. Syed
NCNITIN CHETLA
NITIN CHETLA
CTCory R. Trankle
Cory R. Trankle
In patients with stage 4 or 5 chronic kidney disease or end-stage renal disease who received gadolinium-based contrast agents since 2010, diagnostic codes for potential nephrogenic systemic fibrosis or mimics were exceedingly rare.

23 April 2025 in JMIR Biomedical Engineering
Verified
Journal Article
Open access
MTMihir Tandon
Mihir Tandon
NCNITIN CHETLA
NITIN CHETLA
AMAdarsh Mallepally
Adarsh Mallepally
BZBotan Zebari
Botan Zebari
SSSai Samayamanthula
Sai Samayamanthula
KSKunal Sukhija
Kunal Sukhija
This study analyzed the capability of GPT-4o to properly identify knee osteoarthritis and found that the model had good sensitivity but poor specificity in identifying knee osteoarthritis; patients and clinicians should practice caution when using GPT-4o for image analysis in knee osteoarthritis.

13 October 2026 in Annals of Vascular Surgery
Verified
Journal Article
Closed access
AMAdarsh Mallepally
Adarsh Mallepally
DKDaniel Komorowski
Daniel Komorowski
DNDaniel H. Newton
Daniel H. Newton

26 May 2026 in Journal of Vitreoretinal Diseases
Verified
Journal Article
Closed access
MSMirataollah Salabati
Mirataollah Salabati
AMAdarsh Mallepally
Adarsh Mallepally
KFKean Farhani
Kean Farhani
Raziyeh MahmoudzadehRaziyeh Mahmoudzadeh
Raziyeh Mahmoudzadeh
VBVikram Brar
Vikram Brar
JRJessica Randolph
Jessica Randolph
Purpose: To investigate whether memantine or acetylcholinesterase inhibitors are associated with reduced risk of developing age-related macular degeneration (AMD) and of progression from nonexudative to exudative AMD. Methods: This retrospective cohort study used data from the TriNetX US Collaborative Network between 2008 and 2023. Adults 50 years and older were included and categorized into AMD-naïve and dry AMD cohorts. Exposure groups were defined by outpatient prescriptions for acetylcholinesterase inhibitors (donepezil, rivastigmine, or galantamine) or memantine. Each exposure group was propensity score–matched 1:1 to unexposed controls based on demographic and clinical characteristics. Outcomes were incident AMD in the AMD-naïve cohort and incident exudative AMD in the dry AMD cohort at least 1 year after the prescription. Risk ratios (RRs) and 95% CIs were estimated, and memantine was compared with acetylcholinesterase inhibitors in a head-to-head analysis. Results: Among AMD-naïve patients, acetylcholinesterase inhibitor use (n = 35 397) and memantine use (n = 13 576) were associated with lower AMD incidence compared with matched controls (RR, 0.490; 95% CI, 0.442–0.543; P < .001; and RR, 0.532; 95% CI, 0.448–0.630; P < .001, respectively). In patients with dry AMD, both acetylcholinesterase inhibitors and memantine were associated with reduced progression to exudative AMD (RR, 0.448; 95% CI, 0.357–0.562; P < .001; and RR, 0.552; 95% CI, 0.362–0.842; P = .005). In head-to-head comparisons, similar risks for incident AMD were seen with memantine and acetylcholinesterase inhibitors (RR, 0.929; 95% CI, 0.762–1.132; P = .46) and progression to exudative AMD (RR, 1.198; 95% CI, 0.720–1.994; P = .49). Conclusions: Memantine and acetylcholinesterase inhibitors were associated with a reduced risk of AMD development and progression. These findings support further investigation into shared neuroprotective pathways and potential drug repurposing.

12 October 2024 in JMIR Preprints
Verified
Preprint
Open access
MTMihir Tandon
Mihir Tandon
NCNITIN CHETLA
NITIN CHETLA
AMAdarsh Mallepally
Adarsh Mallepally
BZBotan Zebari
Botan Zebari
SSSai Samayamanthula
Sai Samayamanthula
KSKunal Sukhija
Kunal Sukhija
UNSTRUCTURED This study analyzed the capability of GPT-4o to properly identify knee osteoarthritis and found that the model had good sensitivity but poor specificity in identifying knee osteoarthritis; patients and clinicians should practice caution when using GPT-4o for image analysis in knee osteoarthritis.

25 August 2025 in JMIR Preprints
Verified
Preprint
Open access
MTMihir Tandon
Mihir Tandon
NCNITIN CHETLA
NITIN CHETLA
AMAdarsh Mallepally
Adarsh Mallepally
BZBotan Zebari
Botan Zebari
SSSai Samayamanthula
Sai Samayamanthula
KSKunal Sukhija
Kunal Sukhija
Journal of Medical Internet Research - International Scientific Journal for Medical Research, Information and Communication on the Internet #Preprint #PeerReviewMe: Warning: This is a unreviewed preprint. Readers are warned that the document has not been peer-reviewed by expert/patient reviewers or an academic editor, may contain misleading claims, and is likely to undergo changes before final publication, if accepted, or may have been rejected/withdrawn. Readers with interest and expertise are encouraged to sign up as peer-reviewer, if the paper is within an open peer-review period. Please cite this preprint only for review purposes or for grant applications and CVs (if you are the author).