Akhil Vaid

22PUBLICATIONS
138CO-AUTHORS
Deep learningKnowledge representation and reasoningMicroelectromechanical systems (MEMS)Nutrigenomics and personalised nutritionComputational linguistics
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Publications (22)

|Oct 26, 2026
Calibration of ECG-Based Deep-Learning Algorithm Scores for Patients Flagged as High Risk for Hypertrophic Cardiomyopathy.

|Mar 19, 2026
Artificial intelligence-based automated interpretation of images of electrocardiograms: development and multinational validation of ECG-GPT.

Akshay Khunte, Veer Sangha, Evangelos K Oikonomou

|Feb 16, 2026
Development and multicentre validation of an artificial intelligence electrocardiogram model for ventricular remodeling in repaired tetralogy of Fallot.

Son Q Duong, Akhil Vaid, Pengfei Jiang

|Dec 17, 2025
NutriSighT: Interpretable Transformer Model for Dynamic Prediction of Underfeeding Enteral Nutrition in Mechanically Ventilated Patients.

Mateen Jangda, Jayshil Patel, Akhil Vaid

|Sep 26, 2025
InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records.

Justin Kauffman, Emma Holmes, Akhil Vaid

|Apr 07, 2025
Using Large Language Models to Automate Data Extraction From Surgical Pathology Reports: Retrospective Cohort Study.

Denise Lee, Akhil Vaid, Kartikeya M Menon

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Frequent Collaborators

21 joint publications

Girish Nitin Nadkarni

10 joint publications

Benjamin S Glicksberg

10 joint publications

Alexander W Charney

7 joint publications

Rohan Khera