Enhancing MIS With Tactile Sensing Technology

NYU Abu Dhabi’s AMMLab has developed an “off-the-jaw” sensing system that integrates force and angle sensors into laparoscopic handles, providing real-time feedback on gripping forces, tissue thickness, and stiffness to enhance MIS safety and precision.

Minimally invasive surgery (MIS) offers many benefits, such as reduced pain, faster recovery, and a lower risk of infection. However, one major drawback is the loss of tactile feedback, which makes it difficult for surgeons to differentiate between tissues and apply the correct force. This lack of sensation increases the risk of errors, such as excessive force on delicate structures.

Researchers at NYU Abu Dhabi have introduced a groundbreaking solution to this issue. Unlike traditional methods that place sensors near the jaws of surgical tools, their innovative “off-the-jaw” design separates the sensing device from the surgical site. This new approach simplifies sensor integration, reduces wiring complexity, and eliminates contamination risks, making it easier to sterilize and cost-effective to implement with any standard laparoscopic instrument.

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By restoring tactile feedback, this device helps surgeons—especially those in training—improve precision and safety in MIS procedures. The technology has applications beyond laparoscopic surgery, including telemedicine, endoscopy, and robotic-assisted surgery.

“Our new system provides real-time data on tissue stiffness and thickness, effectively restoring the missing sense of touch in MIS,” said Mohammad A. Qasaimeh, Associate Professor of Mechanical Engineering and Bioengineering at NYU Abu Dhabi. “This approach eliminates contamination concerns while seamlessly integrating with existing surgical tools.”

Early trials have shown a 30% increase in surgical task efficiency, demonstrating the device’s impact on performance. Looking ahead, the research team plans to refine the system for robotic-assisted surgeries and develop microfluidic-based sensors to enhance tissue differentiation.

References: Othman, W., et al. (2025). Stiffness Assessment and Lump Detection in Minimally Invasive Surgery Using In-House Developed Smart Laparoscopic Forceps. IEEE Journal of Translational Engineering in Health and Medicine. doi.org/10.1109/JTEHM.2022.3180937