New research reveals that an artificial intelligence (AI) model, combining several methods of machine learning, precisely identifies thyroid cancer and predicts genomic and pathological results via examination of regular ultrasound images.
The AI model can serve as a non-invasive, low-cost
choice for screening, staging and customized therapy
planning for the disease. The results of this study will be
published in the 2022 Multidisciplinary Head
and Neck Cancers Symposium.
A multimodal platform using the above-mentioned four methods precisely predicted 98.7%.
A multimodal model involving radiomics, TDA and (ML)TI-RADS was also capable of
By integrating different AI methods, we were able to capture more data
while minimizing noise. This allows us to achieve a high level of accuracy in
making predictions.
Dr. Annie Chan, MD, Study Senior Author and Director, Head and Neck
Radiation Oncology Research Program, Mass General Cancer Center
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Artificial Intelligence Model Identifies Thyroid Cancer through Ultrasound Images
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2distinguishing pathological stage (with 89% for N-stage, 93% accuracy for T-stage, and
98% for extrathyroidal extension). Additionally, the model determined BRAF V600E
mutation that can be cured with targeted treatment, with 96% accuracy.
Source: https://www.astro.org/
Artificial Intelligence Model Identifies Thyroid Cancer through Ultrasound Images
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