无线电技术
液体活检
医学
肺癌
精确肿瘤学
精密医学
转化式学习
医学物理学
外科肿瘤学
放射科
活检
癌症
肿瘤科
诊断准确性
梅德林
放射肿瘤学
伴生诊断
内科学
临床肿瘤学
生物标志物
肺
癌症影像学
作者
Swathi Priya Cherukuri,Anmolpreet Kaur,Bipasha Goyal,Hanisha Reddy Kukunoor,Areesh Fatima Sahito,Pratyush Sachdeva,Gayathri Yerrapragada,E. Poonguzhali,Mohammed Naveed Shariff,T.K. Natarajan,Jayarajasekaran Janarthanan,Samuel Richard,Shakthidevi Pallikaranai Venkatesaprasath,Shiva Sankari Karuppiah,Vivek Iyer,Scott A. Helgeson,Shivaram P. Arunachalam
出处
期刊:Cancers
[Multidisciplinary Digital Publishing Institute]
日期:2025-09-29
卷期号:17 (19): 3165-3165
被引量:12
标识
DOI:10.3390/cancers17193165
摘要
The integration of AI with liquid biopsy and radiomics holds transformative potential for early lung cancer detection. This non-invasive, scalable, and individualized diagnostic paradigm could significantly reduce lung cancer mortality through timely and targeted interventions. As technology and regulatory pathways mature, collaborative research is crucial to standardize methodologies and translate this innovation into routine clinical practice.
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