Publications

Publications & presentations.

Machine learning, medical imaging, and urology.

Peer-reviewed journal articles

Journal impact factors (JIFs) are the 2025 values listed in my CV.

npj Digital Medicine · 2026 2025 JIF: 18.0
The beginning of the end for manual chart review: LLM-mediated database construction.
Knorr JM, Patel S, Abusafieh HT, Jevnikar D, Seshadri R, Jonnalagadda R, et al.
Read publication
European Urology Oncology · 2026 2025 JIF: 8.5
External validation of the International Bladder Cancer Group intermediate-risk non-muscle-invasive bladder cancer substratification model.
Siva J, Jonnalagadda R, Aydogdu C, et al.
Read publication
International Journal of Impotence Research · 2026 2025 JIF: 2.5
Attention-deficit/hyperactivity disorder stimulant use is associated with reduced semen volume in reproductive-age men: a multi-center analysis.
Siva J, Vallabhaneni S, Jonnalagadda R, et al.
Read publication
BJU International · 2026 2025 JIF: 4.1
Reducing complexity in International Bladder Cancer Group intermediate-risk non-muscle-invasive bladder cancer stratification: a three-factor approach.
Siva J, Aydogdu C, Heller N, Jonnalagadda R, et al.
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Urology · 2026 2025 JIF: 2.3
Generation of automated nephrometry scores through direct prediction of each component.
Wang B, Jonnalagadda R, Siva J, et al.
Read publication

Preprints

Preprints have not been peer reviewed.

medRxiv · First author · 2026
An automated CT-derived marker of renal tumor complexity: The CLARITY Score.
Jonnalagadda R, Patel SH, Abusafieh HT, et al.
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Published conference abstracts

Co-author on all abstracts below.

ASCO Genitourinary Cancers Symposium Journal of Clinical Oncology · 2026 · 4 abstracts

Journal of Clinical Oncology · 44(7_suppl):429 · 2026
Predicting clear cell subtype for kidney tumors from cross-sectional imaging using artificial intelligence.
Co-author: Rishi Jonnalagadda
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Journal of Clinical Oncology · 44(7_suppl):876 · 2026
A novel large language model framework for automated extraction of pathology data in radical cystectomy.
Co-author: Rishi Jonnalagadda
Read publication
Journal of Clinical Oncology · 44(7_suppl):427 · 2026
External validation of AI age discrepancy as a measure of frailty in kidney tumor patients.
Co-author: Rishi Jonnalagadda
Read publication
Journal of Clinical Oncology · 44(7_suppl):428 · 2026
Prediction of socioeconomic disadvantage using AI analysis of CT imaging in kidney cancer patients.
Co-author: Rishi Jonnalagadda
Read publication

American Urological Association Annual Meeting The Journal of Urology · 2026 · 16 abstracts

The Journal of Urology · IP04-13 · 2026
Leveraging deep learning for optical biopsy: malignancy prediction from fluorescence confocal microscopy of prostate biopsies.
Co-author: Rishi Jonnalagadda
The Journal of Urology · PD13-14 · 2026
Agricultural and industrial air pollutant exposures are associated with bladder cancer in a geospatial case-control analysis.
Co-author: Rishi Jonnalagadda
The Journal of Urology · IP08-19 · 2026
Predicting clear cell subtype for kidney tumors from cross-sectional imaging using artificial intelligence.
Co-author: Rishi Jonnalagadda
The Journal of Urology · PD13-05 · 2026
A geospatial case-control analysis of air pollutants in a radical cystectomy cohort demonstrates associations with known bladder carcinogens.
Co-author: Rishi Jonnalagadda
The Journal of Urology · IP75-23 · 2026
Locally deployed large language model outperforms manual abstraction for extracting operative details from robotic radical prostatectomy notes.
Co-author: Rishi Jonnalagadda
The Journal of Urology · IP53-11 · 2026
Automated extraction of prostate MRI variables from radiology reports using a locally deployed large language model.
Co-author: Rishi Jonnalagadda
The Journal of Urology · IP23-29 · 2026
Contextual reasoning in a locally deployed large language model outperforms manual abstraction for prostate biopsy pathology.
Co-author: Rishi Jonnalagadda
The Journal of Urology · IP04-17 · 2026
First fully automated, multimodal, large-language-model-driven prostate cancer registry integrating biopsy, MRI, operative, and pathology reports.
Co-author: Rishi Jonnalagadda
The Journal of Urology · PD10-14 · 2026
Catch-up growth after varicocelectomy in adolescents: a matched-cohort comparison.
Co-author: Rishi Jonnalagadda
The Journal of Urology · PD07-05 · 2026
CT imaging-based AI age discrepancy independently predicts survival and length of stay in patients undergoing nephrectomy.
Co-author: Rishi Jonnalagadda
The Journal of Urology · IP68-02 · 2026
Locally deployed large language model achieves expert-level abstraction of radical prostatectomy pathology across 17 variables.
Co-author: Rishi Jonnalagadda
The Journal of Urology · IP32-27 · 2026
Concordance and clinical significance of testicular asymmetry thresholds in pediatric varicocele.
Co-author: Rishi Jonnalagadda
The Journal of Urology · PD07-04 · 2026
Artificial intelligence to predict risk of chronic kidney disease progression after nephrectomy based on preoperative cross-sectional imaging.
Co-author: Rishi Jonnalagadda
The Journal of Urology · IP22-24 · 2026
Prostate-specific antigen declines in a subset of men started on testosterone-replacement therapy.
Co-author: Rishi Jonnalagadda
The Journal of Urology · IP52-04 · 2026
Stimulant use is associated with reduced semen volume in reproductive-aged men.
Co-author: Rishi Jonnalagadda
The Journal of Urology · IP40-06 · 2026
Artificial intelligence for predicting perioperative outcomes from preoperative imaging in kidney tumor patients.
Co-author: Rishi Jonnalagadda

European Association of Urology Congress European Urology · 2026 · 1 abstract

European Urology · P0204 · 2026
Clinical validation of the International Bladder Cancer Group’s intermediate-risk non-muscle-invasive bladder cancer stratification model.
Co-author: Rishi Jonnalagadda

Selected presentation

2025

Democratizing and Accelerating Chart Review: A Clinician-Operable Prompt Design System for LLM-Enabled Electronic Medical Record Data Extraction.

Rishi Jonnalagadda · Poster presentation
Fall 2025 Intersections Undergraduate Research Symposium, Case Western Reserve University · December 5, 2025

Second place, Computer Science & Data Science category.

University award announcement

Publications & presentations.

Peer-reviewed journal articles

The beginning of the end for manual chart review: LLM-mediated database construction.

External validation of the International Bladder Cancer Group intermediate-risk non-muscle-invasive bladder cancer substratification model.

Attention-deficit/hyperactivity disorder stimulant use is associated with reduced semen volume in reproductive-age men: a multi-center analysis.

Reducing complexity in International Bladder Cancer Group intermediate-risk non-muscle-invasive bladder cancer stratification: a three-factor approach.

Generation of automated nephrometry scores through direct prediction of each component.

Preprints

An automated CT-derived marker of renal tumor complexity: The CLARITY Score.

Published conference abstracts

Predicting clear cell subtype for kidney tumors from cross-sectional imaging using artificial intelligence.

A novel large language model framework for automated extraction of pathology data in radical cystectomy.

External validation of AI age discrepancy as a measure of frailty in kidney tumor patients.

Prediction of socioeconomic disadvantage using AI analysis of CT imaging in kidney cancer patients.

Leveraging deep learning for optical biopsy: malignancy prediction from fluorescence confocal microscopy of prostate biopsies.

Agricultural and industrial air pollutant exposures are associated with bladder cancer in a geospatial case-control analysis.

Predicting clear cell subtype for kidney tumors from cross-sectional imaging using artificial intelligence.

A geospatial case-control analysis of air pollutants in a radical cystectomy cohort demonstrates associations with known bladder carcinogens.

Locally deployed large language model outperforms manual abstraction for extracting operative details from robotic radical prostatectomy notes.

Automated extraction of prostate MRI variables from radiology reports using a locally deployed large language model.

Contextual reasoning in a locally deployed large language model outperforms manual abstraction for prostate biopsy pathology.

First fully automated, multimodal, large-language-model-driven prostate cancer registry integrating biopsy, MRI, operative, and pathology reports.

Catch-up growth after varicocelectomy in adolescents: a matched-cohort comparison.

CT imaging-based AI age discrepancy independently predicts survival and length of stay in patients undergoing nephrectomy.

Locally deployed large language model achieves expert-level abstraction of radical prostatectomy pathology across 17 variables.

Concordance and clinical significance of testicular asymmetry thresholds in pediatric varicocele.

Artificial intelligence to predict risk of chronic kidney disease progression after nephrectomy based on preoperative cross-sectional imaging.

Prostate-specific antigen declines in a subset of men started on testosterone-replacement therapy.

Stimulant use is associated with reduced semen volume in reproductive-aged men.

Artificial intelligence for predicting perioperative outcomes from preoperative imaging in kidney tumor patients.

Clinical validation of the International Bladder Cancer Group’s intermediate-risk non-muscle-invasive bladder cancer stratification model.

Selected presentation

Democratizing and Accelerating Chart Review: A Clinician-Operable Prompt Design System for LLM-Enabled Electronic Medical Record Data Extraction.