Utilization of Artificial Intelligence Algorithms for Advanced Cancer Detection in the Healthcare Domain

Author:

Hariharan M. G.1,Saranya S.1,Velavan P.1,Soji Edwin Shalom2ORCID,Rajest S. Suman1ORCID,Thammareddi Latha3

Affiliation:

1. Dhaanish Ahmed College of Engineering, India

2. Bharath Institute of Higher Education and Research, India

3. DXC Technology, USA

Abstract

AI has become a valuable tool for early disease identification and diagnosis, especially during pandemics. Artificial intelligence is used to construct advanced healthcare systems that can help diagnose medical diseases, including cancer. This research aims to establish an AI-powered healthcare system for early cancer diagnosis. Millions of people worldwide suffer from cancer, a serious healthcare opponent. Potentially saving many lives. First and foremost, the AI-powered healthcare system must detect cancer-prone patients. This phase relies heavily on AI algorithms, especially deep learning algorithms. These algorithms scan massive datasets of medical records, genetic data, and lifestyle factors to detect cancer-prone individuals. Deep learning algorithms are essential here since they excel at pattern identification and picture analysis.

Publisher

IGI Global

Reference67 articles.

1. Revolutionizing Patient Care with Connected Healthcare Solutions.;R. C.Aditya Komperla;FMDB Transactions on Sustainable Health Science Letters,2023

2. An Intelligent and Reliable Hyperparameter Optimization Machine Learning Model for Early Heart Disease Assessment Using Imperative Risk Attributes

3. Analysing Healthcare Disparities in Breast Cancer: Strategies for Equitable Prevention, Diagnosis, and Treatment among Minority Women.;Z.Bala Kuta;FMDB Transactions on Sustainable Health Science Letters,2023

4. Artificial intelligence in cancer imaging: Clinical challenges and applications

5. Home Transforming Health Behaviours with Technology-Driven Interventions.;V.Boopathy;FMDB Transactions on Sustainable Health Science Letters,2023

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Deep Neural Network for Brain Tumour Segmentation Using Guaranteed Time Slots (GTS) Algorithm;Advances in Computer and Electrical Engineering;2024-08-30

2. Innovative Image Processing Methods for Colorectal Tumor Identification;Advances in Computer and Electrical Engineering;2024-08-30

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3