Multidisciplinary Approach of Artificial Intelligence over Medical Imaging: A Review, Challenges, Recent Opportunities for Research

A. Tiwari, Manisha L Chaudhari, Ankita Rai
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引用次数: 2

Abstract

Multidisciplinary approach of artificial intelligence is revolutionizing the traditional technologies used in medical image computing, radiology imaging, medical diagnoses and features based disease identification [1], [2]. In this paper, overview of artificial intelligence and its application over medical images, recent challenges, deeper technological background regarding betterment/innovation healthcare, real life clinical application with parameters of diagnosis, will improve patient health and feature based disease identification. It provides methodologies in the field of medical imaging by developing self driven and intelligent algorithm that manages and extracts meaningful information out of raw data present in the images. It helps in early diagnosis and treatment of the diseases. This paper focuses on various aspects and issues on the growing role of medical image, fundamental technical advantage of AI over traditional patterns for the betterment of human lives. From this research work, reader understands deeper technological aspects for smart algorithms regarding diseases and patient care.
人工智能在医学影像上的多学科方法:综述,挑战,最近的研究机会
人工智能的多学科方法正在彻底改变医学图像计算、放射学成像、医学诊断和基于特征的疾病识别等传统技术[1],[2]。本文概述了人工智能及其在医学图像上的应用,最近的挑战,在改善/创新医疗保健方面的更深层次的技术背景,具有诊断参数的现实生活临床应用,将改善患者健康和基于特征的疾病识别。它通过开发自我驱动和智能算法,从图像中存在的原始数据中管理和提取有意义的信息,为医学成像领域提供了方法。它有助于疾病的早期诊断和治疗。本文重点讨论了医学图像日益增长的作用,人工智能相对于传统模式的基本技术优势,以改善人类生活的各个方面和问题。从这项研究工作中,读者了解了有关疾病和患者护理的智能算法的更深层次的技术方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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