Long Short-Term Memory–GPT-4 Integration for Interpretable Biomedical Signal Classification: Proof-of-Concept Study

This proof-of-concept demonstrates an explicit methodological integration of deep learning-based biomedical signal classification with GPT-4-based interpretation, provides a technical foundation for future prospective clinical validation, field studies, and regulatory review prior to clinical deployment in underserved settings.

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Publication Details

Journal
JMIR Formative Research
Published
2026-02-05
DOI
https://doi.org/10.2196/87962
Primary Topic
Machine Learning in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Long Short-Term Memory–GPT-4 Integration for Interpretable Biomedical Signal Classification: Proof-of-Concept Study

Ajay Kumar Sahu, Bhavan Kumar Basavaraju, Kapil Kumar Reddy Poreddy, Sanjoy Mukherjee
JMIR Formative Research
Machine Learning in Healthcare
article

Long Short-Term Memory–GPT-4 Integration for Interpretable Biomedical Signal Classification: Proof-of-Concept Study

Ajay Kumar Sahu, Bhavan Kumar Basavaraju, Kapil Kumar Reddy Poreddy, Sanjoy Mukherjee
article en

Abstract

This proof-of-concept demonstrates an explicit methodological integration of deep learning-based biomedical signal classification with GPT-4-based interpretation, provides a technical foundation for future prospective clinical validation, field studies, and regulatory review prior to clinical deployment in underserved settings.

JMIR Formative ResearchVol. 10
Millersville University (US), Institute of Electrical and Electronics Engineers (US)
Openalex Percentile: Top 66%
Machine Learning in Healthcare
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