Research

Intel Relevant Research Problems

Title :

Development of Interpretable medical image analysis framework using radiologist cognition driven deep learning

Area of research :

Intel Relevant Research Problems

Principal Investigator :

Dr. Ganapathy Krishnamurthi, Indian Institute Of Technology (IIT) Madras, Tamil Nadu

Timeline Start Year :

2024

Timeline End Year :

2026

Contact info :

Details

Executive Summary :

Machine learning has shown great potential in the medical image domain, but there are some limitations. The only test of robustness is the machine's successful matching of expert predictions, which can make errors hard to predict or correct. Additionally, the expertise developed by human experts is often used inappropriately for labeling data, wasting cognitive resources and training. The current project aims to develop a machine learning framework that employs expert cognitive processes while retaining the efficacy of the deep learning paradigm. By using insights from recent breakthroughs in vision and biology, the team hypothesizes that by interviewing expert radiologists about their judgments and cognitive processes, they can determine a "neural code" or latent space for medical diagnostics of specific pathologies. This would demonstrate the combination of expert cognition and machine "cognition," reduce the need for large resources for training and prediction, and create a more compact and efficient machine learning system with smaller training sets. This would be particularly important in rare medical conditions. Finally, this would allow for a full-fledged application and framework where it is possible to query the machine learning system and obtain expert-understandable results, an ability missing in current Artificial Intelligence research. A training tool for machine diagnostics could guide trainees on expert processes and not just expert results.

Co-PI:

Dr. Balaji Srinivasan, Indian Institute Of Technology (IIT) Madras, Tamil Nadu-600036, Dr. Sabitha Selvam, Indian Institute Of Technology (IIT) Madras, Tamil Nadu-600036, Dr. Minmini Selvam, Sri Ramachandra Institute Of Higher Education And Research, Tamil Nadu-600116, Dr. Arunan Murali, Sri Ramachandra Institute Of Higher Education And Research, Tamil Nadu-600116, Dr. Anupama Chandrasekharan, Sri Ramachandra Institute Of Higher Education And Research, Tamil Nadu-600116

Total Budget (INR):

55,46,816

Organizations involved

Implementing Agency :

Indian Institute Of Technology (IIT) Madras, Tamil Nadu

Funding Agency :

Anusandhan National Rsearch Foundation (ANRF)/Science and Engineering Research Board (SERB)

Source :

Anusandhan National Research Foundation/Science and Engineering Research Board (SERB), DST 2023-24

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