Realizing Artificial Intelligence in Healthcare: Applications and Challenges

The integration of artificial intelligence (AI) in healthcare is revolutionizing the clinical procedures in intervention, diagnosis, therapy, amelioration, eradication of diseases and other psychological and neurological diseases. AI has inevitably transformed the health diagnostics, because of the ability to produce improved and accurate results with better accuracy. It has become significant in recent era due to least requirement of equipment and low cost. Moreover, AI related techniques e.g., machine learning (ML) and deep learning (DL) have also played their roles in improving the research and accurate outcomes in healthcare sector. This article presents a brief review about some major techniques of AI in the healthcare sector. Furthermore, some applications of AI relevant to this domain are also presented in this article.

Authors

Institutions

Publication Details

Published
2024-11-26
DOI
https://doi.org/10.1109/etecte63967.2024.10823874
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Realizing Artificial Intelligence in Healthcare: Applications and Challenges

Rabia Arshad, Raheel Muzzammel, Beenish Zafar
Artificial Intelligence in Healthcare
article

Realizing Artificial Intelligence in Healthcare: Applications and Challenges

Rabia Arshad, Raheel Muzzammel, Beenish Zafar
article en

Abstract

The integration of artificial intelligence (AI) in healthcare is revolutionizing the clinical procedures in intervention, diagnosis, therapy, amelioration, eradication of diseases and other psychological and neurological diseases. AI has inevitably transformed the health diagnostics, because of the ability to produce improved and accurate results with better accuracy. It has become significant in recent era due to least requirement of equipment and low cost. Moreover, AI related techniques e.g., machine learning (ML) and deep learning (DL) have also played their roles in improving the research and accurate outcomes in healthcare sector. This article presents a brief review about some major techniques of AI in the healthcare sector. Furthermore, some applications of AI relevant to this domain are also presented in this article.

University of Lahore (PK), University of Central Punjab (PK)
Openalex Percentile: Top 65%
Artificial Intelligence in Healthcare
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.