Suppr超能文献

生物传感器、人工智能生物传感器、错误结果及新的未来展望。

Biosensors, Artificial Intelligence Biosensors, False Results and Novel Future Perspectives.

作者信息

Goumas Georgios, Vlachothanasi Efthymia N, Fradelos Evangelos C, Mouliou Dimitra S

机构信息

School of Public Health, University of West Attica, 12243 Athens, Greece.

Laboratory of Clinical Nursing, Department of Nursing, University of Thessaly Larissa, 41334 Larissa, Greece.

出版信息

Diagnostics (Basel). 2025 Apr 18;15(8):1037. doi: 10.3390/diagnostics15081037.

Abstract

Medical biosensors have set the basis of medical diagnostics, and Artificial Intelligence (AI) has boosted diagnostics to a great extent. However, false results are evident in every method, so it is crucial to identify the reasons behind a possible false result in order to control its occurrence. This is the first critical state-of-the-art review article to discuss all the commonly used biosensor types and the reasons that can give rise to potential false results. Furthermore, AI is discussed in parallel with biosensors and their misdiagnoses, and again some reasons for possible false results are discussed. Finally, an expert opinion with further future perspectives is presented based on general expert insights, in order for some false diagnostic results of biosensors and AI biosensors to be surpassed.

摘要

医用生物传感器奠定了医学诊断的基础,而人工智能(AI)在很大程度上推动了诊断技术的发展。然而,每种方法都存在明显的错误结果,因此识别可能导致错误结果的原因对于控制其发生至关重要。这是第一篇全面综述的关键文章,讨论了所有常用的生物传感器类型以及可能导致潜在错误结果的原因。此外,还将人工智能与生物传感器及其误诊情况进行了平行讨论,并再次探讨了可能产生错误结果的一些原因。最后,基于专家的一般见解给出了具有进一步未来展望的专家意见,以期超越生物传感器和人工智能生物传感器的一些错误诊断结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1878/12025796/f4dda2078772/diagnostics-15-01037-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验