Research & Publications

The evidence behind the platform

OrthoAI is not a product dressed in academic language. The platform is the direct output of published, peer-reviewed research — conducted at MBZUAI and validated in clinical settings before commercial deployment.

Mohamed bin Zayed University of Artificial Intelligence
MICCAI — International Conference on Medical Image Computing
CVPR — IEEE/CVF Conference on Computer Vision and Pattern Recognition
NeurIPS — Conference on Neural Information Processing Systems

Methodology

Trained on clinical data. Validated by peers

OrthoAI models are trained on annotated radiograph datasets collected in collaboration with licensed dental institutions across three countries. Evaluation follows established medical AI benchmarking protocols — the same standards applied to FDA-cleared diagnostic systems.

Publications

CVPR 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2024

PairAug: What Can Augmented Image-Text Pairs Do for Radiology?

Yutong Xie, Qi Chen, Sinuo Wang, Minh-Son To, Iris Lee, Ee Win Khoo, Kerolos Hendy, Daniel Koh, Yong Xia, Qi Wu

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CVPR 2024 · IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2024

Continual Self-supervised Learning: Towards Universal Multi-modal Medical Data Representation Learning

Yiwen Ye, Yutong Xie, Jianpeng Zhang, Ziyang Chen, Qi Wu, Yong Xia

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CVPR 2023 · IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2023

PEFAT: Boosting semi-supervised medical image classification with pseudo-loss estimation and feature adversarial training

Qingjie Zeng, Yutong Xie, Zilin Lu, Yong Xia — Northwestern Polytechnical University and The University of Adelaide

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CVPR 2021 · IEEE/CVF Conference on Computer Vision and Pattern Recognition · 2021

DoDNet: Dynamic on-demand segmentation for multi-organ and tumor analysis

Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen

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MICCAI 2021 · 2021

UniMiSS: Universal self-supervised learning across 2D and 3D medical imaging

Yutong Xie, Jianpeng Zhang, Yong Xia, Qi Wu

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MICCAI 2023 · 2023

MedIM: Radiology report-guided masking for medical foundation models

Yutong Xie, Lin Gu, Tatsuya Harada, Jianpeng Zhang, Yong Xia, Qi Wu

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MICCAI 2024 · 2024

AdaCBM: Explainable and accurate diagnosis with adaptive concept bottleneck models

Townim F. Chowdhury, Vu Minh Hieu Phan, Kewen Liao, Minh-Son To, Yutong Xie, Anton van den Hengel, Johan W. Verjans, Zhibin Liao

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MICCAI 2018 · 2018

Training medical image analysis systems like radiologists

Gabriel Maicas, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid, Gustavo Carneiro

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MICCAI 2017 · 2017

Deep reinforcement learning for active breast lesion detection from DCE-MRI

Gabriel Maicas, Gustavo Carneiro, Andrew P. Bradley, Jacinto C. Nascimento, Ian Reid

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CVPR 2019 · 2019

Generalized Intersection over Union (GIoU): A better metric and loss for object detection

Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese

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our origin

Research credited backed project that became a platform

OrthoAI was founded at MBZUAI — one of the world's first graduate universities dedicated entirely to AI. We started as a research programme, not a product. That origin shapes every decision we make.

  • Founded 2022 · Abu Dhabi, UAE
  • Graduate AI research environment
  • Clinical domain focus from day one
About Ortho AI