Journal articles and letters

1. J2In press
   Beyond target trial emulation: residual confounding in a statin–colorectal cancer study Madhu Mitha Chandran, Soham Biren Katlariwala, J. K. Morker The American Journal of Medicine, 2026. Letter to the editor. doi:10.1016/j.amjmed.2026.09.039 DOI registration pending
2. J1Published
   Rising mortality in elderly men with prostate cancer and hypertensive comorbidity: a two-decade epidemiological analysis with projections to 2035 R. Khan, A. Khan, T. Khan, H. Mubashir, S. B. Katlariwala, W. Ali Journal of Saidu Medical College, vol. 16, no. 3s, 2026 doi:10.52206/jsmc.2026.16.3s.1716

Conference papers

1. C15Accepted · SpringerOralCorresponding author
   SHAP-guided iterative feature pruning (SIFP): stable gene selection for breast cancer subtype classification Soham Biren Katlariwala, Kabilesh Jothilingam, Seba Sayed Muhammed Third International Conference on Data Science and Communication (ICTDsC 2026), Siliguri Institute of Technology, India, 19–20 November 2026. Springer Lecture Notes in Networks and Systems (forthcoming).
2. C14Accepted · SpringerOralCorresponding author
   Characterising digital twin fidelity under real 5G network impairments via autoregressive Kalman filtering Jigarkumar D. Patel, Soham Biren Katlariwala, Jigneshkumar A. Chauhan, Narendrakumar I. Patel, Dhaval K. Raval, Chandrakant D. Prajapati Third International Conference on Data Science and Communication (ICTDsC 2026), Siliguri Institute of Technology, India, 19–20 November 2026. Springer Lecture Notes in Networks and Systems (forthcoming).
3. C13Accepted · IEEE
   Does shift-aware conformal correction help? An audit-gated study on cross-site breast ultrasound Soham Biren Katlariwala, Nirban Roy, Shreyan Kundu, Adeyinka Adedigba, Rammohan Mallipeddi IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2026). Full paper accepted.
4. C12Accepted · IEEE
   CLEAR-Net: adaptive denoising for robust polyp segmentation Nirban Roy, Soham Biren Katlariwala, Shreyan Kundu, Adeyinka Adedigba, Rammohan Mallipeddi IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2026). Full paper accepted.
5. C11OralFull paper under review
   Questioning the benchmarks: hidden circularity in AQ-10 autism screening datasets Soham Biren Katlariwala, A. Saeed, H. K. Khati, N. Roy, M. Moradi International Conference on AI in Computational Science and Engineering (IC-AICSE 2026), Everest Engineering College, Lalitpur, Nepal, 7 October 2026. Oral presentation; full paper under review. Preprint: R3.
6. C10ForthcomingCorresponding author
   Anatomical GraphSAGE-enhanced CNN ensemble for paediatric bone age estimation with Monte Carlo dropout S. B. Katlariwala, J. D. Patel, J. A. Chauhan, N. I. Patel, D. K. Raval, C. D. Prajapati Global Conference on Cloud Computing, Virtualization & Metaverse (MetaSphere 2026), IEM Kolkata, August 2026. Springer proceedings.
7. C9ForthcomingCorresponding author
   Temporal cart memory and billing verification: a three-component framework for vision-based smart trolley systems S. B. Katlariwala, J. A. Chauhan, J. D. Patel, N. I. Patel, D. K. Raval, C. D. Prajapati Global Conference on Cloud Computing, Virtualization & Metaverse (MetaSphere 2026), IEM Kolkata, August 2026. Springer proceedings.
8. C8ForthcomingCorresponding author
   Criterion-level automated scoring of the FMS deep squat using interpretable 2D pose geometry J. A. Chauhan, J. D. Patel, N. I. Patel, S. B. Katlariwala Global Conference on Cloud Computing, Virtualization & Metaverse (MetaSphere 2026), IEM Kolkata, August 2026. Springer proceedings.
9. C7WorkshopMIT Critical Data
   SAKSHI: a community-operated investigative platform for accountability in clinical AI deployment R. Al-Louzi, H. N. Ali, A. M. C. Bank, L. A. Celi, C. Cocucci, R. Gameiro, R. Gorijavolu, N. Jaiswal, M. Koumbia, H. C. Kasimbazi, S. B. Katlariwala, N. Nazarian, M. M. Lucas, K. Madapati, S. Mikolutskaya, R. Mwavu, M. S. Patel, R. I. Rojas Sillery, J. Nanyonjo, A. Q. Xiang Conference on Language Modeling (COLM) 2026 Workshop on LLM/VLM Deployment Opportunities and Risks in Healthcare, 2026 OpenReview
10. C6Published
    Evaluation of deep learning architectures for network intrusion detection Priya Arora, Soham Biren Katlariwala, Mitali Raj, Mahdisa Moradi, Sunita Sahu 2026 1st International Conference on Advancing Sustainable Solutions through Technologies (ICASST), IEEE, 2026, pp. 1–6 doi:10.1109/ICASST68917.2026.11484132
11. C5Published
    Effective fine-tuning with eigenvector centrality based pruning S. Chowdhury, S. B. Katlariwala, D. Kashyap Advances in Visual Computing: International Symposium on Visual Computing (ISVC 2025), Lecture Notes in Computer Science, Springer, 2026, pp. 3–15 doi:10.1007/978-3-032-14492-8_1arXiv:2512.12543
12. C4Published
    YOLOv5 with SVM-aided post-classification for high-precision skin lesion detection R. Srividhya, Vaibhav C. Gandhi, Anitha D, Sudha Rajesh, Soham Biren Katlariwala, Krunal Panchal 2025 International Conference on Sustainable Technologies for Humanity and Smart World (HSWTech), IEEE, 2025, pp. 1–6 doi:10.1109/HSWTech64936.2025.11278157
13. C3Published
    Hybrid deep learning model: weather classification using ResNet-50 and SVM Vaibhav C. Gandhi, Krunal Panchal, Jignasha Lakhtaria, Chirag C. Gami, Neha Gameti, Soham Biren Katlariwala 2025 International Conference on Sustainable Technologies for Humanity and Smart World (HSWTech), IEEE, 2025, pp. 1–7 doi:10.1109/HSWTech64936.2025.11277422
14. C2PublishedMost cited
    TriBoost and beyond: advanced machine learning approaches for diabetes risk prediction Soham Biren Katlariwala, Vaibhav C. Gandhi, Nirav Patel, Devendra Parmar, Ayushi Desai 2025 International Conference on Electronics and Renewable Systems (ICEARS), IEEE, 2025, pp. 1780–1785 doi:10.1109/ICEARS64219.2025.10941310
15. C1PublishedSole author
    BERT-based detection of AI-generated text for content verification S. B. Katlariwala 2024 REYES Proceedings (Remote Experience for Young Engineers and Scientists), Old Dominion University Digital Commons, paper 14 digitalcommons.odu.edu/reyes-2024/14

Conference presentations

1. A19Published
   Valvular heart disease severity modifies the discriminative power of clinical coronary artery disease predictors: an interpretable machine learning analysis Katlariwala SB, Chunchu VA, Gandhi V, Kuraku DR, Moradi M, Patel P, Kanakamedala SC, Keshapogu N, Chenna VB, Pina JM Transcatheter Cardiovascular Therapeutics (TCT) 2026, San Diego, CA. JACC. 2026;88(18_Suppl):B14. Abstract TCT-34.doi:10.1016/j.jacc.2026.09.077
2. A18Published
   Institutional referral threshold bias limits generalizability of cardiac AI across 5 international catheterization laboratories: a 1,190-patient cross-site analysis with domain adaptation benchmark Katlariwala SB, Mohammed S, Gandhi V, Qamar I, Moradi M Transcatheter Cardiovascular Therapeutics (TCT) 2026, San Diego, CA. JACC. 2026;88(18_Suppl):B409. Abstract TCT-958.doi:10.1016/j.jacc.2026.09.1168
3. A17Moderated poster
   Trajectory-informed stroke risk prediction using disease duration and glycemic burden in a nationally representative US adult sample Katlariwala SB, Jothilingam K, Gandhi V, Moradi M Society of Vascular and Interventional Neurology (SVIN) 2026 Annual Meeting, Las Vegas, NV. Abstract 26-A-1291.
4. A16Accepted
   Logistic regression outperforms deep ensembles for tabular stroke risk prediction: a fairness-aware benchmarking study Katlariwala SB, Jothilingam K, Gandhi V, Moradi M Society of Vascular and Interventional Neurology (SVIN) 2026 Annual Meeting, Las Vegas, NV. Abstract 26-A-1299.
5. A15Accepted
   Patient-agnostic wearable activity recognition via cross-subject contrastive learning: toward post-stroke monitoring Jothilingam K, Katlariwala SB, Gandhi V, Moradi M Society of Vascular and Interventional Neurology (SVIN) 2026 Annual Meeting, Las Vegas, NV. Abstract 26-A-1415.
6. A14Accepted
   Transradial versus transfemoral access in posterior circulation endovascular interventions: a systematic review and meta-analysis Jothilingam K, Zafarullah M, Katlariwala SB, Kumar A, Ahmed F, Tabassum H, Khan M Society of Vascular and Interventional Neurology (SVIN) 2026 Annual Meeting, Las Vegas, NV. Abstract 26-A-1303.
7. A13Presented
   Graph neural network analysis of pre-operative resting-state fMRI predicts extent of resection and post-operative neurocognitive outcome in eloquent-area diffuse glioma: a systematic review and meta-analysis Katlariwala SB, Pineda Guerrero A, Romero Moreno J, Saxena MD, Muraleedharan T, Diwan SS, Chandran MM, Qamar I, Mal M Congress of Neurological Surgeons (CNS) 2026 Annual Meeting, Washington, DC. Poster 4657, presented in the Digital Abstract Gallery.
8. A12Presented
   Machine learning of EEG biomarkers for Parkinson’s disease subtyping and deep brain stimulation candidate stratification: a systematic review and meta-analysis Katlariwala SB, Pineda Guerrero A, Romero Moreno J, Saxena MD, Muraleedharan T, Diwan SS, Chandran MM, Qamar I, Mal M Congress of Neurological Surgeons (CNS) 2026 Annual Meeting, Washington, DC. Poster 3576, presented in the Digital Abstract Gallery.
9. A11Published
   Bedside risk stratification in the cardio-metabolic intensive care unit: machine learning applications for comorbid heart failure and diabetes Katlariwala SB (submitter and lead researcher) American Heart Association (AHA) Scientific Sessions 2026. Circulation. 2026;154(Suppl 1). Abstract 16575.doi:10.1161/circ.154.suppl_1.16575
10. A10Published
    Baseline LDL cholesterol and clinical outcomes in older adults: reassessing the cholesterol paradox. A systematic review and meta-analysis Katlariwala SB (submitter) American Heart Association (AHA) Scientific Sessions 2026. Circulation. 2026;154(Suppl 1). Abstract 18422.doi:10.1161/circ.154.suppl_1.18422
11. A9Published
    Machine learning versus conventional risk models for predicting futility and adverse clinical outcomes following transcatheter aortic valve replacement: a systematic review and meta-analysis Katlariwala SB (submitter) American Heart Association (AHA) Scientific Sessions 2026. Circulation. 2026;154(Suppl 1). Abstract 17460.doi:10.1161/circ.154.suppl_1.17460
12. A8Published
    Diagnostic accuracy of artificial intelligence-enabled electrocardiography for detecting occlusion myocardial infarction: a systematic review and meta-analysis Katlariwala SB (co-author) American Heart Association (AHA) Scientific Sessions 2026. Circulation. 2026;154(Suppl 1). Abstract 15546.doi:10.1161/circ.154.suppl_1.15546
13. A7Published
    Remote-only follow-up strategies for patients with cardiac implantable electronic devices: a systematic review and meta-analysis of clinical outcomes Katlariwala SB (co-author) American Heart Association (AHA) Scientific Sessions 2026. Circulation. 2026;154(Suppl 1). Abstract 14440.doi:10.1161/circ.154.suppl_1.14440
14. A6Accepted
    Diagnostic accuracy of artificial intelligence in differentiating iron deficiency anemia from thalassemia trait: a systematic review and meta-analysis Srinivasan V, Bhavanam S, Zafarullah M, Sajid H, Chandran MM, Katlariwala SB, Kukreja N, Shah S, Thadisina SR, Raslan M, Umer H, Sahar N 68th American Society of Hematology (ASH) Annual Meeting and Exposition, 2026. To be published in Blood. Abstract abs26-12948.
15. A5Accepted
    Diagnostic accuracy of artificial intelligence/machine learning assisted flow cytometry for measurable residual disease detection in leukemia: a systematic review and meta-analysis Sakalabaktula KSK, Hayat M, Rehman L, Kuraku DR, Latif B, Adel A, Katlariwala SB, Yousaf H, Walizai MK, Ramzan R, Kambhampati B, Javed S, Keshapogu N 68th American Society of Hematology (ASH) Annual Meeting and Exposition, 2026. To be published in Blood. Abstract abs26-13932.
16. A4Published
    Computer-aided detection versus computer-aided diagnosis of early Barrett’s neoplasia: a systematic review and meta-analysis Qamar I, Hayat M, Chandran MM, Katlariwala SB, Sikander DM, Asad S, Khan S, Sajid H, Jothilingam K, Tariq MT, Ullah A American College of Gastroenterology (ACG) 2026 Annual Scientific Meeting. Am J Gastroenterol. 2026;121(10S1):S248. Abstract S1142.
17. A3Published
    Diagnostic precision and operational efficiency of AI-assisted esophagogastroduodenoscopy for gastric neoplasm detection: a systematic review and meta-analysis of randomized controlled trials Mohammed S, Marupuru S, Sikander DM, Chandran MM, Katlariwala SB, Sajid H, Hayat M, Khan S, Jothilingam K, Shah SZA, Tariq MT, Kuraku DR, Chandrashekar C American College of Gastroenterology (ACG) 2026 Annual Scientific Meeting. Am J Gastroenterol. 2026;121(10S1):S755. Abstract S3467.
18. A2Published
    Artificial intelligence versus conventional prognostic scores for mortality prediction in acute-on-chronic liver failure: a systematic review Singh S, Sikander DM, Vijaykumar R, Chandran MM, Katlariwala SB, Keshapogu N, Sajid H, Hayat M, Shah SZA, Marupuru S, Jothilingam K, Kuraku DR, Tariq MT American College of Gastroenterology (ACG) 2026 Annual Scientific Meeting. Am J Gastroenterol. 2026;121(10S1):S634. Abstract S2917.
19. A1Presented
    AI-driven severity grading of dental caries: a systematic review, meta-analysis and translational readiness assessment Bisani JT, Katlariwala SB, Moradi M, Saxena MD, Mukhtar SF, Gyawali P American Academy of Developmental Medicine and Dentistry (AADMD) One Voice Conference, Alliance for Oral Health Across Borders, 2026. Poster.

Preprints and datasets

1. R3Preprint
   Questioning the benchmarks: hidden circularity in AQ-10 autism screening datasets Soham Biren Katlariwala, Amina Saeed, Harina Kumari Khati, Nirban Roy, Mahdisa Moradi medRxiv preprint (health informatics), November 2026 medRxivdoi:10.64898/2026.11.01.26367003
2. R1PreprintMIT Critical Data
   Data provenance and ethics in the curricula of U.S. health AI education programs Raffaele Giancotti, Francesca Santucci, Amama Anjum, Monique de Villa, Rupsa Mitra, Soham Biren Katlariwala, Vishala Mishra, Leo Anthony Celi arXiv preprint (Computers and Society, cs.CY), October 2026. 10 pages. Cross-sectional analysis of 36 U.S. health AI education programmes: 80.6% teach ethics, 22.2% teach data provenance, none address sustainability. arXiv:2610.39606PDFdoi:10.48550/arXiv.2610.39606
3. R2DatasetMIT Critical Data
   Data provenance and ethics in the curricula of 36 U.S. health AI education programs [Dataset] Raffaele Giancotti, Francesca Santucci, Amama Anjum, Monique de Villa, Rupsa Mitra, Soham Biren Katlariwala, Vishala Mishra, Leo Anthony Celi Zenodo, v1.0.0, September 2026. Coded programme dataset, screening register of 43 candidate entries, supplementary appendix and codebook. Supports preprint R1. doi:10.5281/zenodo.22936034