AI/ML-Based Predictive Maintenance for IoT-Enabled Healthcare Devices in Regulated Environments

In this paper, we study the application of AI/ML based predictive maintenance in IoT devices in healthcare sector in regulated environments.They discuss the operational advantages, the impact to model effectiveness, and regulatory issues using both literature and data analysis.Results show that AI-based systems can make the substantial reduction of downtime and cost while keeping compliance and safety of patients, and can have its scalability potential in modern healthcare systems.

Authors

Institutions

Publication Details

Journal
ISCSITR-INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Published
2025-04-16
DOI
https://doi.org/10.63397/iscsitr-ijsraiml_06_02_004
Primary Topic
Quality and Safety in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

AI/ML-Based Predictive Maintenance for IoT-Enabled Healthcare Devices in Regulated Environments

Gangadhar Vasanthapuram
ISCSITR-INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Quality and Safety in Healthcare
article

AI/ML-Based Predictive Maintenance for IoT-Enabled Healthcare Devices in Regulated Environments

Gangadhar Vasanthapuram
article en

Abstract

In this paper, we study the application of AI/ML based predictive maintenance in IoT devices in healthcare sector in regulated environments.They discuss the operational advantages, the impact to model effectiveness, and regulatory issues using both literature and data analysis.Results show that AI-based systems can make the substantial reduction of downtime and cost while keeping compliance and safety of patients, and can have its scalability potential in modern healthcare systems.

ISCSITR-INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNINGVol. 6(2)
Skyworks Solutions (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 85%
Quality and Safety 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.