The Role of Artificial Intelligence in Modern Medicine: Clinical Applications, Economic Implications, and Ethical Considerations

医疗保健 自治 精密医学 临床试验 人工智能应用 临床实习 医学 工程伦理学 人工智能 计算机科学 工程类 护理部 政治学 病理 法学
作者
R. Kamalesh,P. Thamarai,Alan Shaji,V.C. Deivayanai,A. Saravanan,A. S. Vickram,Thanigaivel Sundaram,Hitesh Chopra
出处
期刊:Current Pharmaceutical Design [Bentham Science Publishers]
卷期号:32 (12): 918-935 被引量:1
标识
DOI:10.2174/0113816128388946250717182703
摘要

Artificial Intelligence (AI) in the medical field has been receiving attention from health professionals and researchers worldwide. The complexity and challenging aspects of healthcare are transformed by AI, with the potential for improvement in patient care and quality of life. The advancements in AI can revolutionize healthcare through integration into clinical practice. These tools can analyse vast datasets and detect patterns, enabling them to exceed human performance in various aspects of healthcare. Implementing augmented medicines allows for superior autonomy and personalised treatment among patients. The increase in the inclusion of AI in medical frontiers has created the need to validate these tools with clinical trials towards the upgrade of medical curriculum with digital medicine and ethical considerations on current monitoring. The current review aimed to discuss the evolution of AI in promising avenues of healthcare such as diagnostics, medical imaging, drug development, clinical trials, surgery, and patient monitoring. The review also addresses the economic impact of AI in healthcare, followed by the efficiency and financial impact on patients and hospitals. Despite the beneficial impact, several challenges, such as ethical and regulatory concerns, also influence the integration of AI. By tackling these challenges, AI's potential can be fully realized, making healthcare more accessible to patients worldwide.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
咋了完成签到,获得积分20
3秒前
3秒前
无奈皮卡丘完成签到,获得积分10
5秒前
希望天下0贩的0应助fuHM采纳,获得10
7秒前
cgl155410完成签到 ,获得积分10
7秒前
逍遥游发布了新的文献求助10
8秒前
8秒前
8秒前
8秒前
akanenn999发布了新的文献求助10
9秒前
功夫熊猫完成签到,获得积分10
9秒前
Naomi完成签到,获得积分10
10秒前
lin完成签到,获得积分10
10秒前
10秒前
10秒前
13秒前
夏诗婷发布了新的文献求助10
13秒前
俭朴惜雪发布了新的文献求助10
14秒前
15秒前
家伟发布了新的文献求助10
16秒前
Yo完成签到,获得积分10
16秒前
LLL完成签到 ,获得积分10
16秒前
17秒前
JinpengFeng发布了新的文献求助10
18秒前
20秒前
天天快乐应助Yo采纳,获得10
21秒前
红叶再开应助安戈采纳,获得10
21秒前
22秒前
搜集达人应助刘柯伶采纳,获得10
24秒前
笨笨熊发布了新的文献求助10
25秒前
科研狗应助noahxinny采纳,获得50
26秒前
抱抱熊完成签到,获得积分10
27秒前
红叶再开发布了新的文献求助30
27秒前
Shengkun完成签到,获得积分0
28秒前
28秒前
贺欢欢完成签到 ,获得积分20
30秒前
宁寒嘉完成签到,获得积分10
30秒前
方青松应助科研通管家采纳,获得10
31秒前
SciGPT应助科研通管家采纳,获得10
31秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7581053
求助须知:如何正确求助?哪些是违规求助? 9160380
关于积分的说明 19598946
捐赠科研通 7163518
什么是DOI,文献DOI怎么找? 3265970
关于科研通互助平台的介绍 2430880
邀请新用户注册赠送积分活动 2257022