Evidence and Research

Read our recent publications and presentations

European Congress of Radiology 2020

A comparison of lung nodule detection sensitivity of deep learning algorithms in comparison with 3 radiologists of varying experience levels

Krishna Chaitany Kaluva, Suthirth Vaidya, Vasanathakumar Venugopal, Sriram Rajan, Pratibha Shad, Vidur Mahajan, Harsh Mahajan, Adarsh Raj, Shilpy Upadhyay

Evidence and Research

European Congress of Radiology 2020

Takeaways from the validation of an AI-based malignancy likelihood estimation for lung cancer screening when used on routine CT studies in a tertiary care hospital

Varun Chaudhry, Vivek Saxena, Suthirth Vaidya, Digvijay Mahra, Kiran Vaidhya, Abhijith Chunduru, Bharat Aggarwal

Evidence and Research

European Congress of Radiology 2020

Establishing Normative Liver Volume and Attenuation for the Population of a Large Developing Country Using Deep Learning – A Retrospective Study of 1,800 CT Scans

Vidur Mahajan, Vasanthakumar Venugopal, Suthirth Vaidya, Abhijith Chunduru, Madhuri Barnwal, Salil Gupta, Harsh Mahajan

Evidence and Research

Journal of Clinical Oncology

Deep learning-based predictive imaging biomarker model for EGFR mutation status in non-small cell lung cancer from CT imaging

Abhishek Mahajan, Vatsal Kania, Vijay Maruti Patil, Vanita Noronha, Amit Joshi, Nandini Sharrel Menon, Rajiv Kumar, Swapnil Rane, Anuradha Chougule, Suthirth Vaidya, Kumar Prabhash

Evidence and Research

Academic Radiology

January 27, 2020

Unboxing AI - Radiological Insights Into a Deep Neural Network for Lung Nodule Characterization

Vasantha Kumar Venugopal, Kiran Vaidhya, Abhijith Chunduru, Vidur Mahajan, Murali Murugavel, Suthirth Vaidya, Digvijay Mahra, Akshay Rangasai, Harsh Mahajan

Evidence and Research

Intel AI Whitepaper

September 20, 2019

Deep Learning for Lung Cancer Detection

Kiran Vaidhya, Adarsh Raj, Krishna Chaitanya, Abhijith Chunduru, Suthirth Vaidya, Dr Ramanathan Sethuraman, Madhu Kumar, Dmitry Rizshkov, Prashant Shah

Evidence and Research

Featured Posts

Bengaluru start-up's AI tool can help analyse extent of lung damage in Covid-19 patients

Predible Health: Using Tech to diagnose diseases

Edison[X] powered by GE Healthcare graduates five start-ups on Demo Day

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Evidence and Research