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Overview of the Latest Intelligent Inspection System Developed by Zonke Optoelectro

Release time:2022-08-04


Regarding research on AI‑based tumor screening applications, this project focuses on minimally invasive early‑stage tumor detection. It employs bio‑impedance measurements of internal tissues, develops advanced algorithmic models, and converts data into images or text that clinicians can directly interpret, thereby aiding physicians in diagnosing a variety of tumors, including those of the thyroid, breast, liver, and lung.

An early‑screening and post‑treatment rehabilitation prediction research project involves the collection of tumor‑related data. To date, more than 10,000 clinical records have been amassed, and algorithmic models have been developed and trained. Leveraging smart healthcare and cloud services, data are uploaded, and artificial intelligence–based decision‑making models and deep learning techniques enable a range of inferences and assessments. Currently, the system achieves 100% concordance with hospital‑issued case analysis reports.