Mangaluru Researchers Develop Smartphone-Based Device to Detect Neonatal Jaundice

The device leverages AI and advanced imaging techniques to analyse skin colour from images of a baby’s forehead or chest captured by a smartphone camera.

Researchers in Mangaluru have developed a smartphone-based screening device aimed at detecting neonatal jaundice, a condition common in newborns, by estimating bilirubin levels without the need for a blood test.

The device named mBilimeter, was created through a collaboration involving St Aloysius (Deemed to be University), Mangaluru, and Father Muller Medical College under the Medical Instruments, Devices and Allied Services (MIDAS) initiative supported by the Department of Science and Technology (DST) and MAHE University, Manipal.

Currently total serum bilirubin (TSB) estimation through blood tests remains the standard diagnostic method.

However, it involves painful blood sampling, making the procedure stressful for newborns and caregivers.

According to the researchers, mBilimeter is intended to address this gap by providing a non-invasive and affordable screening option.

The device is designed as a non-invasive tool, leveraging artificial intelligence (AI) and advanced imaging techniques to analyze skin colour from images of a baby’s forehead or chest captured by a smartphone camera.

Further, the device integrates a microprocessor with a pre-trained machine-learning model capable of analysing skin tones and image characteristics to provide real-time bilirubin estimates.

It also features IoT capabilities that seek to enable continuous data flow to database management systems and support remote monitoring in healthcare settings.

The device has been developed using locally sourced materials and cost-efficient design principles and is reportedly priced between INR 10,000 and INR 12,000, and is intended for use in hospitals and clinics with limited resources.

Stay tuned for more such updates on Digital Health News