期刊簡(jiǎn)介預(yù)計(jì)審稿時(shí)間：

Radiology: Artificial Intelligence is an international academic journal dedicated to the application of artificial intelligence in the field of radiology. This journal aims to provide a platform for researchers in radiology, computer science, biomedical engineering, and related fields to showcase and exchange the latest research achievements on artificial intelligence technology in medical imaging diagnosis, analysis, and processing.

The magazine covers a wide range of disciplinary topics, including but not limited to deep learning in medical imaging, machine learning, computer vision, image reconstruction, image segmentation, disease detection and classification, radiomics, and the application of artificial intelligence in radiology practice. The journal places special emphasis on emerging research fields and encourages interdisciplinary research methods to address the complex challenges faced in the field of medical imaging. Through its open access model, this journal helps promote knowledge sharing and scientific progress, playing an important role in fostering collaboration and innovation in the global scientific community.

《放射科-人工智能》是一本專(zhuān)注于人工智能在放射學(xué)領(lǐng)域應(yīng)用的國(guó)際學(xué)術(shù)期刊。該雜志旨在為放射學(xué)、計(jì)算機(jī)科學(xué)、生物醫(yī)學(xué)工程以及相關(guān)領(lǐng)域的研究者提供一個(gè)展示和交流關(guān)于人工智能技術(shù)在醫(yī)學(xué)影像診斷、分析和處理中最新研究成果的平臺(tái)。

雜志涵蓋了廣泛的學(xué)科主題，包括但不限于醫(yī)學(xué)影像的深度學(xué)習(xí)、機(jī)器學(xué)習(xí)、計(jì)算機(jī)視覺(jué)、圖像重建、圖像分割、疾病檢測(cè)與分類(lèi)、放射組學(xué)、以及人工智能在放射學(xué)實(shí)踐中的應(yīng)用等。該期刊特別強(qiáng)調(diào)對(duì)新興研究領(lǐng)域的關(guān)注，鼓勵(lì)跨學(xué)科的研究方法，以應(yīng)對(duì)醫(yī)學(xué)影像領(lǐng)域面臨的復(fù)雜挑戰(zhàn)。通過(guò)其開(kāi)放獲取的模式，該期刊有助于推動(dòng)知識(shí)共享和科學(xué)進(jìn)步，對(duì)促進(jìn)全球科學(xué)界的合作與創(chuàng)新具有重要作用。

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