Step into the future of orthopaedic diagnostics with FIXAR, a unique AI-based tool designed to revolutionize the interpretation of X-ray images. Meticulously trained on extensive and finely annotated databases curated by top-tier orthopaedic clinicians and scientists, FIXAR’s state-of-the-art algorithms stand as a testament to the collaboration between clinical and scientific brilliance and engineering precision within the field. Our primary objective is to empower clinicians and trainees by offering a tool that not only augments the accuracy and speed of diagnoses but also serves as a pivotal decision-support system for orthopaedic care providers, especially in high-load referral centers, resource-constrained, or remote settings. With FIXAR, we prioritize a comprehensive approach, integrating not just imaging data but also patient-specific information derived from individual traits, clinical evaluations, and medical histories, ensuring tailored and precise care for every patient.

Experience the Future of Healthcare with “FixAR” (Prototype mode)

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References:

1. Oosterhoff, J.H., Jeon, S., Akhbari, B., Shin, D., Tobert, D.G., Do, S. and Ashkani-Esfahani, S., 2023. A deep learning approach using an ensemble model to auto-create an image-based hip fracture registry. OTA International, 6(5 Suppl).
2. Borjali, A., Ashkani-Esfahani, S., Bhimani, R., Guss, D., Muratoglu, O.K., DiGiovanni, C.W., Varadarajan, K.M. and Lubberts, B., 2023. The use of deep learning enables high diagnostic accuracy in detecting syndesmotic instability on weight-bearing CT scanning. Knee Surgery, Sports Traumatology, Arthroscopy, pp.1-7.
3. Ghandour, S., Ashkani-Esfahani, S. and Kwon, J.Y., 2023. The Emerging Role of Automation, Measurement Standardization, and Artificial Intelligence in Foot and Ankle Imaging: An Update. Foot and ankle clinics, 28(3), pp.667-680.
4. Ashkani-Esfahani, S., Yazdi, R.M., Bhimani, R., Kerkhoffs, G.M., Maas, M., DiGiovanni, C.W., Lubberts, B. and Guss, D., 2022. Detection of ankle fractures using deep learning algorithms. Foot and Ankle Surgery, 28(8), pp.1259-1265.
5. Ashkani-Esfahani, S., Mojahed-Yazdi, R., Bhimani, R., Kerkhoffs, G.M., Maas, M., DiGiovanni, C.W., Lubberts, B. and Guss, D., 2022. Deep Learning Algorithms Improve the Detection of Subtle Lisfranc Malalignments on Weightbearing Radiographs. Foot & ankle international, 43(8), pp.1118-1126.