Journal of Advances in Developmental Research

E-ISSN: 0976-4844   •   Impact Factor: 9.71

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 1 January-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of January-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 1
2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Integrating Artificial Intelligence and Process Automation for Predictive Maintenance in Healthcare Robotics

Author(s) Shashank Pasupuleti
Country United States
Abstract Healthcare robotics, including surgical robots, rehabilitation systems, and autonomous mobile robots (AMRs), have significantly transformed the healthcare landscape by enhancing operational efficiency, patient safety, and clinical outcomes. However, ensuring the continuous and safe operation of these systems requires a robust maintenance strategy. Traditional reactive maintenance practices often lead to costly downtimes and unplanned repairs, which are particularly detrimental in critical healthcare settings. Predictive maintenance (PdM), powered by Artificial Intelligence (AI), Machine Learning (ML), and process automation, offers a proactive solution by using data analytics to predict and prevent failures before they occur. This paper explores how AI, ML, IoT, big data, and process automation can be integrated to enhance predictive maintenance in healthcare robotics. It further examines cybersecurity, regulatory frameworks, ethical considerations, and the importance of cross-disciplinary collaboration in the development of predictive maintenance systems that are safe, effective, and sustainable in healthcare robotics.
Keywords Healthcare Robotics, Predictive Maintenance, Robotics Design, Sensor Data, Failure Prediction, Regression Models, Classification Models, Deep Learning, Machine Learning, Convolutional Neural Networks, AI, Robotics Maintenance, Process Automation, Robotic Process Automation, RPA, Cybersecurity, Iot, Systems Engineering, Lifecycle Management, Regulatory Issues, Ethical Concerns, FDA Guidelines, European Medicines Agency, Data Privacy, Informed Consent, Algorithmic Bias, Human Factors, Predictive Maintenance Systems, Medical Robotics, Healthcare Technology, Rehabilitation Robots, Surgical Robots, Failure Detection, Predictive Models, Operational Efficiency, Maintenance Optimization, Healthcare Staff Training, Robot Maintenance, Robotic Systems Design.
Published In Volume 15, Issue 1, January-June 2024
Published On 2024-03-04
Cite This Integrating Artificial Intelligence and Process Automation for Predictive Maintenance in Healthcare Robotics - Shashank Pasupuleti - IJAIDR Volume 15, Issue 1, January-June 2024. DOI 10.5281/zenodo.14551845
DOI https://doi.org/10.5281/zenodo.14551845
Short DOI https://doi.org/g8wtgp
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJAIDR DOI prefix is
10.71097/IJAIDR

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 2Cover Page Vol 15 Isu 1Cover Page Vol 14 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJAIDR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijaidr.com