AI-Powered Laparoscopy: Making Minimally Invasive Surgery Accessible
CodeTherapy R&D | May 15, 2025 | 3 min read
The CodeTherapy R&D unit collaborated with biomedical engineers from Senegal and India to build an end-to-end laparoscope prototype equipped with IoT sensors and onboard AI. This joint milestone marks a pivotal shift toward engineering healthcare systems designed from the ground up for low-resource clinics rather than adapting complex, high-power Western hardware.
The team designed and trained object-detection networks to recognize organs and common pathologies in real time, providing augmented video overlays for surgeons. The system was optimized for low power and manufacturability, utilizing readily available electronic components that can be sourced and repaired locally without relying on proprietary global supply chains.
The goal is to make minimally invasive surgery more accessible in under-resourced hospital settings across West Africa, where access to advanced surgical tools remains critically limited. By lowering both cost and complexity, CodeTherapy aims to assist local clinical centers in significantly reducing post-operative complications and patient recovery times.
Read the published paper: IEEE Biomedical Engineering and Sustainable Healthcare (ICBMESH 2025) →Related Projects
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