Clinical Decision Support System Braced with Artificial Intelligence: A Review

被引：2

作者：

Prajapati, Jigna B. ^{[1
]}

Prajapati, Bhupendra G. ^{[2
]}

机构：

[1] Ganpat Univ, Acharya Motibhai Patel Inst Comp Studies, Mehsana, Gujarat, India

[2] Ganpat Univ, Shree SK Patel Coll Pharmaceut Educ & Res, Mehsana, Gujarat, India

来源：

THIRD INTERNATIONAL CONFERENCE ON IMAGE PROCESSING AND CAPSULE NETWORKS (ICIPCN 2022) | 2022年 / 514卷

关键词：

CDSS (Clinical decision support system); Artificial intelligence; ES (Expert System); Machine learning; Ethics; AI;

D O I：

10.1007/978-3-031-12413-6_42

中图分类号：

TB8 [摄影技术];

学科分类号：

0804 ;

摘要：

The Healthcare sector is one of the most vibrant & crucial sectors in any development toward smart city substantivity. The health sector is enabled techier faster & faster. Artificial Intelligence (AI) is affecting the massive upliftment of all health-related services. AI is used to improve human decision-making. It performs advanced decision-making with Rules-based expert systems (ES) and machine-learning (ML). ES & ML can be combined to assist clinical releasers in their diagnosis operations for more accurate and effective clinical decisions, reduce clinical errors, and improve safety & efficacy. AI in clinical support is effective to save money to increasing the overall system's quality & performance. This paper examines a variety of studies that used Artificial Intelligence techniques in clinical decision support systems in order to define basic criteria for the usage of intelligent techniques. The use of AI in clinical systems raises ethical concerns. We also discuss the ethical, economic, legal, and societal consequences of AI in clinical support systems.

引用

页码：531 / 540

页数：10

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