人工智能(AI)在医学中的应用作为一种战略性有价值的工具。

Artificial intelligence (AI) in medicine as a strategic valuable tool.

机构信息

First Department of Propaedeutic Surgery, Athens Medical School, National and Kapodistrian University of Athens, Hippocration General Athens Hospital, Athens, Greece.

Laboratoire de Génie des Procédés Catalytiques, Centre National de la Recherche Scientifique/École Supérieure de Chimie Physique Électronique, Lyon, France.

出版信息

Pan Afr Med J. 2021 Feb 17;38:184. doi: 10.11604/pamj.2021.38.184.28197. eCollection 2021.

Abstract

Humans' creativity led to machines that outperform human capabilities in terms of workload, effectiveness, precision, endurance, strength, and repetitiveness. It has always been a vision and a way to transcend the existence and to give more sense to life, which is precious. The common denominator of all these creations was that they were meant to replace, enhance or go beyond the mechanical capabilities of the human body. The story takes another bifurcation when Alan Turing introduced the concept of a machine that could think, in 1950. Artificial intelligence, presented as a term in 1956, describes the use of computers to imitate intelligence and critical thinking comparable to humans. However, the revolution began in 1943, when artificial neural networks was an attempt to exploit the architecture of the human brain to perform tasks that conventional algorithms had little success with. Artificial intelligence is becoming a research focus and a tool of strategic value. The same observations apply in the field of healthcare, too. In this manuscript, we try to address key questions regarding artificial intelligence in medicine, such as what artificial intelligence is and how it works, what is its value in terms of application in medicine, and what are the prospects?

摘要

人类的创造力使得机器在工作量、效率、精度、耐力、强度和重复性方面超越了人类的能力。它一直是一种超越存在和赋予生命更多意义的愿景和方式,因为生命是宝贵的。所有这些创造的共同点是,它们旨在取代、增强或超越人体的机械能力。当艾伦·图灵在 1950 年提出机器可以思考的概念时,故事出现了另一个分支。人工智能,于 1956 年被提出,描述了使用计算机来模仿与人类相当的智能和批判性思维。然而,这场革命始于 1943 年,当时人工神经网络试图利用人类大脑的结构来执行传统算法几乎没有成功的任务。人工智能正在成为研究重点和具有战略价值的工具。同样的观察也适用于医疗保健领域。在本文中,我们试图解决人工智能在医学领域的一些关键问题,例如人工智能是什么以及它是如何工作的,它在医学应用方面的价值是什么,以及它的前景如何?

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80c/8106796/d969a05e1d4c/PAMJ-38-184-g001.jpg

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