Health and Me

Rachel V Thomas

IIT Madras, CMC Vellore Develop AI Tools For Early Kidney Disease Detection

Researchers from the Indian Institute of Technology Madras (<span>IIT Madras</span>) and Christian Medical College (CMC), Vellore, have developed three artificial intelligence (<span>AI</span>)-based tools designed to help detect and assess kidney diseases earlier.

The technologies could help doctors identify kidney conditions more quickly, analyse medical images more consistently and assess the extent of kidney tumours in greater detail.

<h2>What Did The Researchers Develop?</h2>

The team developed three complementary technologies:

<ul>A <strong>machine learning model </strong>that uses clinical and laboratory information to predict a person's risk of chronic <span rel="noindex">kidney disease</span> (CKD).</ul>

<li>A <strong>deep learning system </strong>that automatically analyses CT scans and classifies kidneys into four categories: normal kidney, kidney cyst, kidney stone and kidney tumor.</li>

<li>A <strong>3D imaging platform </strong>that reconstructs kidneys from CT scans and measures tumor volume and the percentage of the kidney affected.</li>

Together, the tools have been designed to support clinicians in detecting kidney disease and assessing its severity.

<h2>How Can The <span rel="noindex">AI Tools</span> Help?</h2>

Kidney diseases can remain asymptomatic during their early stages and may go undetected until significant damage has occurred.

The researchers say their AI-based tools could assist physicians by providing rapid and consistent analysis, potentially supporting earlier diagnosis and more informed treatment decisions.

“The team aimed to develop intelligent systems that would help clinicians make quicker and more informed decisions. We used machine learning along with clinical knowledge to develop tools that would assist in the earlier detection of kidney diseases and give more detailed information specific to the patient,” said Prof. G.L. Samuel, Department of Mechanical Engineering, IIT Madras, in a statement.

<h2>AI System Trained On More Than 12,000 CT Images</h2>

The CT image classifier was trained using more than 12,000 images and can distinguish between healthy kidneys, cysts, stones and tumours.

The researchers also developed a 3D imaging framework using open-source software to measure tumour burden. 

According to the team, the approach offers an inexpensive and repeatable way to assess the extent of a tumour, which could provide additional information for treatment planning.

The CKD prediction model was implemented as a user-friendly prototype interface with the aim of facilitating future clinical translation. The team also worked on improving the model's accuracy and interpretability for doctors.

“Early detection is of paramount importance when dealing with kidney diseases; these AI tools can help detect at-risk patients early and plan their treatment more effectively. The patient-specific imaging framework is of significant promise as it goes beyond the standard measurements to give a more comprehensive picture of the extent of the disease,” said Jennifer Delighta, Research Scholar, IIT Madras.

The research could also contribute to the development of a kidney Digital Twin — a technology that combines AI-assisted image analysis with patient-specific 3D anatomical models.

Such virtual models could eventually help researchers and clinicians monitor disease progression, forecast changes and support more personalized treatment planning.

However, the technologies are still being developed. The researchers plan to test the models using additional patient datasets to validate their performance and establish partnerships with healthcare institutions for potential real-world deployment.

The team is also exploring the long-term integration of these AI technologies with minimally invasive wearable sensing systems and Digital Twin platforms for personalised kidney health monitoring.

Health Conditions A-Z

health

iit-madras-cmc-vellore-develop-ai-tools-for-early-kidney-disease-detection

IIT Madras

CMC Vellore

AI Tools

Kidney Disease

IIT Madras, CMC Vellore Researchers Develop AI Tools For Early Kidney Disease Detection

98-years-after-penicillin-are-we-running-out-of-effective-antibiotics

98 Years After Penicillin: Are We Running Out Of Effective Antibiotics?

scientists-take-a-step-towards-a-universal-vaccine-against-pneumonia-and-meningitis

Pneumonia & Meningitis Vaccine Breakthrough: Scientists Develop A Shot To Cover Multiple Strains

Health News

8 Sit-Up Variations to Strengthen Your Core and Build Stability

Benefits Of Ayurvedic Health Supplement Ashwagandha

9 Anti-Inflammatory Breakfast Options You Should Try

5 Foods You Should Avoid For PCOS, Says Gynecologist

Love Sitting With Your Legs Crossed? Here’s You Should Avoid It

6 Daily Foods That Are Secretly Increasing Your Calories

9 Brain Boosters You Should Do Everyday

Hip Exercises That Will Keep You Flexible As You Age

9 Leg Exercises Office Workers’ Should Do At Home

Benefits of Having Herbal Tea Every Morning

9 Daily Habits That Boost Your Brain Power

Lower-Body Exercises That Are Game-Changers

How Drinking Apple Cider Vinegar Helps You

Aging Myths You Should Never Believe

Superfoods That Support Your Gut Health

What Happens To Your Body When You Eat Instant Noodles Every Day?

Health Issues Premature Babies Often Face

Exercises Office Workers Should Do For Their Heart Health

Reasons Why You Should Add Raw Turmeric To Your Diet

Benefits Of Drinking Milk At Night: Why You Should Do It

Food That Provides Vitamin B12 Naturally In Your Diet

Surprising Health Benefits Of Fenugreek Seeds

9 Superfoods You Should Eat For Your Brain Health

What Does Mental Health Support Look Like At Work?

Long Stretches You Should Do To Unwind From Your Day

Colon Cancer In Young Adults: Early Symptoms You Should Know

Health Benefits Of Eating Dry Fruits Everyday

Are You At Risk For Fried Rice Syndrome?

These Tests Reveal How Well You Are Aging

Lower-Back Exercises You Should Do After A Long-Day's Work

Children’s Diet – What Kids Need To Eat For Immunity Building

Common Diabetes Myths That Could Hurt Your Health

Love Spicy Food? Here’s How It Affects Your Health

Superfood List: Veggies And Fruits You Must Have For Immunity

Foods People With IBS Should Avoid

Exercises To Improve Digestion

Easy Work Lunches You Can Make In The Morning

Hunger Vs Craving: Difference Explained In 60 seconds

These Things Can Cause Your Heart To Age Faster

High Carb Foods That Are Actually Healthy

Researchers from the Indian Institute of Technology Madras (IIT Madras) and Christian Medical College (CMC), Vellore, have developed three artificial intelligence (AI)-based tools designed to help detect and assess kidney diseases earlier.The technologies could help doctors identify kidney conditions more quickly, analyse medical images more consistently and assess the extent of kidney tumours in greater detail.What Did The Researchers Develop?The team developed three complementary technologies:A machine learning model that uses clinical and laboratory information to predict a person's risk of chronic kidney disease (CKD).A deep learning system that automatically analyses CT scans and classifies kidneys into four categories: normal kidney, kidney cyst, kidney stone and kidney tumor.A 3D imaging platform that reconstructs kidneys from CT scans and measures tumor volume and the percentage of the kidney affected.Together, the tools have been designed to support clinicians in detecting kidney disease and assessing its severity.How Can The AI Tools Help?Kidney diseases can remain asymptomatic during their early stages and may go undetected until significant damage has occurred.The researchers say their AI-based tools could assist physicians by providing rapid and consistent analysis, potentially supporting earlier diagnosis and more informed treatment decisions.“The team aimed to develop intelligent systems that would help clinicians make quicker and more informed decisions. We used machine learning along with clinical knowledge to develop tools that would assist in the earlier detection of kidney diseases and give more detailed information specific to the patient,” said Prof. G.L. Samuel, Department of Mechanical Engineering, IIT Madras, in a statement.AI System Trained On More Than 12,000 CT ImagesThe CT image classifier was trained using more than 12,000 images and can distinguish between healthy kidneys, cysts, stones and tumours.The researchers also developed a 3D imaging framework using open-source software to measure tumour burden. According to the team, the approach offers an inexpensive and repeatable way to assess the extent of a tumour, which could provide additional information for treatment planning.The CKD prediction model was implemented as a user-friendly prototype interface with the aim of facilitating future clinical translation. The team also worked on improving the model's accuracy and interpretability for doctors.“Early detection is of paramount importance when dealing with kidney diseases; these AI tools can help detect at-risk patients early and plan their treatment more effectively. The patient-specific imaging framework is of significant promise as it goes beyond the standard measurements to give a more comprehensive picture of the extent of the disease,” said Jennifer Delighta, Research Scholar, IIT Madras.Towards A Kidney Digital TwinThe research could also contribute to the development of a kidney Digital Twin — a technology that combines AI-assisted image analysis with patient-specific 3D anatomical models.Such virtual models could eventually help researchers and clinicians monitor disease progression, forecast changes and support more personalized treatment planning.However, the technologies are still being developed. The researchers plan to test the models using additional patient datasets to validate their performance and establish partnerships with healthcare institutions for potential real-world deployment.The team is also exploring the long-term integration of these AI technologies with minimally invasive wearable sensing systems and Digital Twin platforms for personalised kidney health monitoring.

iit madras, cmc vellore develop ai tools for early kidney disease detection

About Us

Contact Us

Terms & Conditions

Privacy Policy

Company

Health and Me is a premium website with content written and curated to function as a handbook for all Health concerns.

IIT Madras, CMC Vellore Develop AI Tools For Early Kidney Disease Detection

98 Years After Penicillin: Are We Running Out Of Effective Antibiotics?

Pneumonia & Meningitis Vaccine Breakthrough: Scientists Develop A Shot To Cover Multiple Strains

H5N1 Detected In Captive Mink In US For First Time: Should You Be Concerned?

Health Conditions A-Z

IIT Madras, CMC Vellore Researchers Develop AI Tools For Early Kidney Disease Detection

98 Years After Penicillin: Are We Running Out Of Effective Antibiotics?

Pneumonia & Meningitis Vaccine Breakthrough: Scientists Develop A Shot To Cover Multiple Strains