In a major step towards improving maternal and fetal healthcare, Aarthi Scans & Labs and Origin Medical Research Lab India Private Limited, the research and development arm of Origin Medical, have strengthened their collaboration to make prenatal ultrasound examinations more accurate, consistent, and accessible through the use of artificial intelligence (AI).

The two organisations have been working together for the past five years to develop and validate AI-powered solutions that support maternal-fetal imaging in busy clinical settings. Their shared goal is to help expectant mothers receive high-quality prenatal scans while assisting doctors in making timely and accurate clinical decisions.

The collaboration focuses on several key aspects of prenatal ultrasound, including automated image capture, detection of important anatomical landmarks, real-time image quality assessment, and automated fetal measurements. These AI-driven tools are designed to improve workflow efficiency, minimise differences between operators, and ensure more standardised prenatal care across healthcare facilities.

Speaking about the initiative, Dr. Arunkumar Govindarajan, Radiologist and Executive Director, Aarthi Scans & Labs, said prenatal ultrasound plays a vital role in monitoring fetal growth and identifying potential complications during pregnancy. However, maintaining consistent imaging quality across high-volume healthcare centres remains a challenge.

"Our collaboration with Origin Medical Research Lab aims to bridge this gap through clinically validated AI solutions that support radiologists and fetal medicine specialists in delivering more accurate and standardised prenatal assessments. We believe responsible use of AI can significantly improve access to quality maternal healthcare, particularly in India where the demand for prenatal diagnostics continues to rise," he said.

The outcomes of the collaboration, carried out with other clinical and research partners, have been presented at internationally recognised scientific platforms, including the ISUOG World Congress and the Fetal Medicine Foundation World Congress. According to the organisations, multiple studies have demonstrated that the AI systems perform strongly in identifying and assessing complete fetal anatomy, including critical structures such as the fetal central nervous system.

The AI platform developed through this partnership also provides automated image capture with instant feedback, helping sonographers complete anatomical surveys more efficiently while reducing scan time and improving the overall patient experience. It further offers real-time image quality and completeness checks to ensure that all essential anatomical views are captured according to international clinical guidelines. Automated fetal measurement tools also help improve consistency in fetal biometry while reducing variation between different operators and healthcare centres.

Highlighting the importance of the partnership, Sripad Krishna Devalla, Co-founder and CEO of Origin Medical, said Aarthi Scans & Labs has been one of the company's earliest and most valuable clinical partners.

"Aarthi's clinical expertise, large-scale operations, and commitment to innovation have played a key role in advancing AI-driven prenatal imaging. At Origin Medical Research Lab, our focus is to transform real-world clinical data into validated, scalable AI technologies that can improve prenatal care globally," he said.

As one of the early adopters of AI in medical imaging, Aarthi Scans & Labs continues to invest in technologies that enhance diagnostic accuracy, improve radiology workflows, and strengthen the detection of fetal abnormalities during routine prenatal examinations.

The organisations said the collaboration is part of a broader effort to make affordable, accessible, and standardised prenatal care available across India. They also emphasised that all research activities have been conducted in full compliance with the Pre-Conception and Pre-Natal Diagnostic Techniques (Prohibition of Sex Selection) Act, 1994, and other applicable regulations. The AI algorithms developed under the initiative have also been validated at several reputed healthcare institutions, further strengthening their clinical reliability.