Plasma medicine: The era of artificial intelligence

被引:6
|
作者
Ercan, Utku Kursat [1 ]
Ozdemir, Gizem Dilara [1 ]
Ozdemir, Mehmet Akif [1 ]
Guren, Onan [1 ]
机构
[1] Izmir Katip Celebi Univ, Fac Engn & Architecture, Dept Biomed Engn, TR-35620 Izmir, Turkiye
关键词
artificial intelligence; cold atmospheric plasma; deep learning; machine learning; plasma medicine; COLD-PLASMA; ARGON PLASMA; DISCHARGE; KINPEN; HEAD; LOAD; TOOL;
D O I
10.1002/ppap.202300066
中图分类号
O59 [应用物理学];
学科分类号
摘要
The current trends that incorporate artificial intelligence (AI) and medicine have created new opportunities for improvement in both early diagnosis and treatment of diseases. In this framework, AI might also have the potential to significantly revolutionize the way we approach the field of plasma medicine, an area that is quickly growing and uses cold atmospheric plasma (CAP) to address a variety of medical conditions. Plasma medicine offers promising therapeutic alternatives for conditions widely ranging from cancer treatment to wound healing and antimicrobial applications, but the complexity of the plasma sources and the huge number of parameters may be overwhelming for the determination of underlying mechanisms and for understanding the effect of the source. This is where AI steps in, to provide strong tools for modeling, evaluating, and controlling CAPs. By harnessing the power of AI, researchers in the plasma medicine area, are now able to evaluate massive volumes of data, enhance their treatment protocols, and predict treatment results with a level of precision never possible before. Hereby, we emphasized the potential and further utilization of AI in plasma medicine in light of the fascinating and recent developments in this cooperation. New opportunities are encouraging, but potential limitations, ethical issues, model transparency, and generalizability should be considered. Regardless, the possibilities are endless, and the future of plasma medicine is looking brighter than ever with the implementation of AI.
引用
收藏
页数:18
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