Research method for diagnosing early lung cancer based on terahertz sensor array and artificial intelligence technology

• Main Authors: HU FANGRONG, ZENG LIZHEN, JIANG MINGZHU, YANG HAOZHE, JIANG WENYING, ZHANG LONGHUI, LIN SHANGJUN
• Format: Patent
• Language: Chinese; English
• Published: 22.07.2025
• Subjects: INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; TESTING

The invention provides a method for diagnosing early lung cancer based on a terahertz sensor array and an artificial intelligence technology. 16 terahertz sensors with the same structure and high-quality factors (Q value) are adopted to form a 4 * 4 array, and the 16 lung cancer markers are specifically detected through modification by a molecular imprinting technology. During detection, the modified terahertz sensor array is placed in a closed gas chamber made of polytetrafluoroethylene, nitrogen is firstly introduced to obtain a reference spectrum, then gas exhaled by a subject is introduced to obtain a test spectrum, and the concentration of the marker is reflected through the harmonic peak frequency shift amount. An initial diagnosis model is established in combination with individual information of a subject, and the model is trained and optimized by using an artificial intelligence technology and a large sample. According to the method, the problems of insufficient specificity, low sensitivity, high mis