Siva Teja Kakileti

Title: Innovations by Siva Teja Kakileti in Medical Imaging and Machine Learning

Introduction

Siva Teja Kakileti, an influential inventor based in Andhra Pradesh, India, has made significant contributions to the fields of medical imaging and machine learning. With a remarkable portfolio of 10 patents, he has developed innovative systems and methods that enhance diagnostic processes, particularly in the detection of hotspots in breast thermograms.

Latest Patents

Among his latest patents is the "System and method of automatic detection of hotspot locations in breast thermograms." This groundbreaking technology allows for the automatic detection of hotspot locations from thermal images of the breast region. The system identifies areolar points, segments hotspot regions, calculates radial locations of these hotspots, and generates a comprehensive text report, enabling focused scans on specific regions rather than the entire breast area.

Additionally, Kakileti has patented a "System and method to generate discretized interpretable features in machine learning model." This invention processes numeric feature values to enhance the interpretability of machine learning results. It involves receiving thermal images, extracting associated numeric features, predicting classes, and calculating the contribution of these features towards the predictions, culminating in reports that clarify their impact on the model's decisions.

Career Highlights

Siva Teja Kakileti has been associated with innovative companies such as Niramai Health Analytix Pvt Ltd, where his expertise in medical imaging played a crucial role in advancing healthcare technology. His work focuses on leveraging technology to provide more accurate and interpretable results in critical health diagnostics.

Collaborations

Throughout his career, Kakileti has collaborated with talented professionals like Krithika Venkataramani and Himanshu Jayantkumar Madhu. Their combined efforts have fostered a vibrant environment for creativity and innovation, pushing the boundaries of what is possible in their respective fields.

Conclusion

Siva Teja Kakileti stands out as a prominent inventor whose innovations in medical imaging and machine learning are paving the way for future advancements in healthcare. His patents not only contribute to the existing body of knowledge but also showcase the potential for technology to enhance diagnostic precision and interpretability. As he continues to work on breakthrough innovations, his impact on the medical and technological landscapes is sure to grow.