Medigo AI powered health screening robot for preventive healthcare screening
Indian deep-tech company Kody Technolab Limited has introduced Medigo, an AI-powered health screening robot designed to make preventive healthcare faster and more accessible.
The new robotic system can analyze more than 65 health parameters in about three minutes, allowing individuals to quickly check their health status and receive a structured report. The company says the robot has been designed and engineered in India and is intended for deployment in hospitals, corporate offices, public spaces, and community health programs.
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A Robot Designed for Preventive Healthcare
Preventive healthcare depends heavily on early diagnosis, but in many regions access to screening facilities remains limited. According to global health data, over 537 million adults live with diabetes, and nearly 45% of them remain undiagnosed. Similarly, around 1.28 billion people worldwide suffer from hypertension, much of which goes undetected, particularly in developing countries.
Medigo aims to address this gap by enabling rapid health screening with up to 95% accuracy, making routine checkups easier and more scalable.
The company believes this approach could help expand health screening programs in locations such as:
- Hospitals and clinics
- Corporate campuses
- Airports and transit hubs
- Educational institutions
- Community health centers
How the Medigo Robot Works
Medigo combines artificial intelligence, robotics, and medical sensors to carry out automated health checks. The system guides users through the screening process via an AI-powered interface and generates a digital or printed health report after the assessment.
The robot can conduct multiple tests, including:
- Blood glucose and HbA1c screening for diabetes
- Blood pressure monitoring
- ECG-based heart health analysis
- Cholesterol testing
- Lung function assessment
- Infectious disease screenings such as HIV and TB
- Mental health evaluations including ASD-related assessments
The system also supports multilingual interaction, making it accessible to users across different regions. In addition, Medigo can connect patients with remote doctors via telemedicine if further medical consultation is required.
A Scalable Health Screening Platform
By integrating robotics with connected healthcare systems, Medigo is positioned as a scalable screening solution that can support large preventive healthcare initiatives.
“Medigo is the result of years spent building the artificial intelligence capability, engineering depth, and healthcare expertise required to make large-scale screening possible,” said Manav Patel, Managing Director of Kody Technolab Limited.
He added that the robot was developed with real-world deployment in mind and could help bring early health detection to millions of people, especially in regions where healthcare infrastructure is limited.
The Bigger Picture
Healthcare systems worldwide are increasingly focusing on preventive care and early diagnosis rather than reactive treatment. Technologies like AI-driven screening robots could play a significant role in expanding healthcare access across both urban areas and underserved communities.
If deployed widely, solutions like Medigo could help institutions run large-scale health screening programs quickly and efficiently, potentially improving early detection rates for several major diseases.
About Kody Technolab Limited
Kody Technolab Limited is a deep-technology company focused on AI-powered software and robotics platforms. The company develops intelligent automation solutions used across sectors such as healthcare, retail, enterprise services, and public infrastructure.
Its robotics platforms are designed to support digital interaction, automation, and real-world technology deployment at scale.
Source & Disclaimer
Source: Press Release by NewsVoir
Disclaimer: This article is based on a syndicated press release from NewsVoir. TechMitra has edited and optimized the content for clarity, readability, and SEO. All facts, claims, and data are the responsibility of the source organization.
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