Anirudh Gangadharan

ECG is All You Need [Clinical Study — n=311]

• Demonstrated first proof-of-concept for cross-modal cardiac inference: LLM-generated echocardiographic reports from 12-lead ECG images alone, without fine-tuning.
• Retrospective analysis of 311 paired ECG–echocardiogram cases comparing three LLMs against cardiologist gold standard.
• Best model achieved r=0.394 (p<0.001) for ejection fraction prediction, with 64% of estimates within ±5% of true values.
• Aimed at democratizing cardiac imaging in resource-constrained settings where echocardiography is unavailable.

Screening for Left Ventricular Dysfunction from Photographed 12-Lead ECGs [Deep Learning — n=500]

• Trained a multi-task EfficientNet-B3 ensemble to predict ejection fraction and regional wall-motion abnormality directly from photographed 12-lead ECGs.
• Three-stage transfer learning (ImageNet → PTB-XL 21,430 ECGs → 500 paired records) with inverse-density loss weighting and out-of-fold cross-validation.
• Severe-EF detection AUROC 0.76, RWMA screen AUROC 0.70; best folds reach 0.83–0.86. Diagnosed and fixed shortcut-learning and regression-to-the-mean failure modes via Grad-CAM.
• Deployed as a multilingual WhatsApp triage tool with a public Hugging Face demo.

HemoglobinAI [Clinical Study – n=600]

• Developed a multimodal machine learning pipeline for non-invasive hemoglobin estimation using smartphone imaging.
• Compared palpebral conjunctiva and buccal mucosa images in 600 pregnant women using standardized color calibration.
• Implemented YOLOv8-based segmentation and evaluated seven regression models with 5-fold cross-validation.
• Demonstrated marginally superior predictive performance using palpebral conjunctiva imaging.

EyeScopeAI [ICMR STS Grant]

• Developing a fully offline computer vision system for refractive error screening in rural settings.
• Secured competitive national research funding (ICMR STS) to address healthcare access disparities through frugal innovation.

LumiSleep [Neurostimulation]

• Conceived a closed-loop neurostimulation system using sensory entrainment; pre-incubated at Manipal Bioincubator.
• Architected proprietary algorithms for nervous system regulation and sleep optimization.

DoctorsAI

• Leading national scaling of student wings and mentoring interdisciplinary projects bridging clinical needs with data science.
• Co-organized Global Summit 2025; strategic guidance for AI literacy programs for 5,000+ medical professionals.

Gadag Institute of Medical Sciences