Experience our unique Artificial Intelligence (AI)-based modeling solution, designed to provide the most accurate diagnosis of your CT scan images.

Currently, an estimated 700 million individuals worldwide are affected by kidney disease. KidneySense, a product of nidanAI, utilizes a neural network algorithm to analyze kidney CT scan images, offering an additional layer of confidence for healthcare professionals and patients. Our solution is not intended to replace doctors or radiologists, but rather to support them, particularly in high-pressure situations where swift, accurate decisions and a confirmatory assessment are essential. By mitigating the risk of misdiagnosis, KidneySense helps ensure that patients receive the appropriate care and treatment they deserve.

Coming Soon:

Quick Demo

Perform a self-check by uploading your kidney image (CT Scan) below. Read the guidelines before uploading an image.

Result

About Us

Aryan Mansingh
Founder and CTO, nidanAI.com

Aryan is a high school senior at the Illinois Math and Science Academy (IMSA) in Aurora, where he engages in research and develops digital tools in computational science, Quantum Computing programming, and AI technology. He has developed an AI-driven model, Kidney Sense, to detect potential kidney problems. This model can identify the type of kidney issues and visualize the affected area. The project was presented to a Chicago Congressman, and IMSA has recognized its potential, providing a school grant for continued development.

Aryan Mansingh

Currently, Aryan conducts research at UChicago on quantum computing for the Chicago Quantum Exchange, mentored by Dr. Rand. He is currently working on Qunity, a revolutionary quantum programming language. Qunity simplifies quantum programming by defining quantum functions as reversible classical functions, thereby facilitating broader adoption and innovation. Additionally, Aryan works as a high school intern at APS Data Technology on the Smart Parking project as a software engineer, contributing to the implementation of an AI solution for managing available parking spots in the city.

At IMSA, Aryan serves as captain for ACSL and the education sector head for the IMSA code society. He is also an RSL at the IMSA residential hall. He demonstrates a strong passion for AI and Robotics, having participated in Vex World Robotics and taught Robotics to middle school students during his high school summers.

Driven by his passion for science and technology, Aryan aspires to become a computer scientist, leveraging his dedication to research, technical skills, and aptitude for rapid learning to advance technology across various sectors globally.

Contact

If you would like to learn more about nidanAI, please reach out:

Email: aryan.mansingh15@gmail.com