AI-assisted models may help improve diagnosis and lead to well-defined treatment plans.

📌 As Beate Bartès, Secretary TFI, highlights: ’Thyroid nodules are very common, although most are benign, a small percentage may be cancer. It is not only a cancer diagnosis that is stressful, it is already the fact to discover a nodule, without knowing whether it is benign or at risk for cancer. AI will help analyze imaging better to select the suspicious nodules for further investigation, and reassure all those patients whose nodules are benign.’

📌 Apart from focusing on the location of the tumour, cancer characterizations unique to each patient could give important information to doctors. Combining image similarity and predictive artificial intelligence models may offer a more accurate diagnosis. An accurate diagnosis provides clarity for the doctor, facilitating targeted interventions tailored to address the specific needs of patients.

Nair G. et al. Combining Image Similarity and Predictive Artificial Intelligence Models to Decrease Subjectivity in Thyroid Nodule Diagnosis and Improve Malignancy Prediction. Endocr Pract. 2024.

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