IIT Madras’ new AI-based ultrasound scanner to detect sports injury on-field R esearchers at the Indian Institute of Technology (IIT) Madras have developed an indigenous and portable Point-of-Care-Ultrasound (POCUS) scanner that can diagnose sports injuries on-field. The POCUS, powered by Artificial Intelligence (AI) can potentially allow for on-field diagnosis of injuries, with immediate assessment of the extent of injury that will allow for medical professionals to take a call on whether to permit the sportsperson to continue playing. The novel scanner has a wide range of applications in sports medicine, and it has the benefits of safety (no radiation) and sufficient resolution compared to other modalities, said the team.

**A. Bridging the Gap in Athlete Injury Management**
**B.

This gap was identified through a comprehensive literature review and a series of interviews with elite athletes, coaches, and medical professionals. The literature review revealed a lack of readily available, portable, and user-friendly devices for monitoring and managing injuries in athletes. The interviews with athletes, coaches, and medical professionals highlighted the need for a device that could be easily integrated into the training environment, offering real-time feedback and guidance on injury prevention and rehabilitation.

Established in 2019 with support from the government’s Institute of Eminence initiative, CESSA aims to become a global platform for fostering innovation in sports technology and delivering products and solutions to enhance athlete performance. The centre will also serve general fitness and health consumers. Meanwhile, Thittai and the team aim to complete the product prototype development by 2024. They have also planned subsequent testing and collection of pilot data from the field in coordination with Sports Authorities. ✔️ IIT Madras’ new AI-based ultrasound scanner to detect sports injury on-field 📝 Post your comments 💕 Found this article helpful? Spread the word and support us!