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International Journal of Biomedical Innovations and Engineering Cover

International Journal of Biomedical Innovations and Engineering

E-ISSN: 3107-3549 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

International Journal of Biomedical Innovations and Engineering [3107-3549(e)] is an online peer-reviewed engineering and scientific journal launched in 2023 serving the fields of reinforced plastics and polymer composites including research, production, processing, and applications. IJBIE brings you the details of developments in this rapidly expanding technology area long before they are commercial realities. It provides a platform to discuss new issues in the area of polymer & composite that are a combination of polymers (i.e., thermosets or thermoplastics) with various continuous and non-continuous reinforcements/fillers, principally added to polymers to improve the material performance. The journal also seeks to advance the quality of research by publishing papers introducing or elaborating on new methods and practices in Chemical Engineering. IJBIE is now an open platform to publish articles in open-access special issues.

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Journal Information

Title: International Journal of Biomedical Innovations and Engineering
Abbreviation: ijbie
Issues Per Year: 2 Issues
E-ISSN: 3107-3549
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/IJBIE
Starting Year: 2023
Subject: Biomedical Innovations and Engineering
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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ijbie maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.

Editor in Chief

Editor

Dr. Muchukota Sushma, Associate Professor

Aditya Bangalore Institute of Pharmacy Education and Research, Karnataka, India,

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Latest Articles

Ahead of Print

Impact of Pre-Operative Nebulized Lidocaine–Dexmedetomidine Combination Versus Monotherapy on Incidence, Severity, and Patient Comfort Scores of Post-Operative Sore Throat: A Randomized Controlled Clinical Trial

Post-operative sore throat (POST) is a common issue after endotracheal intubation and can reduce patient comfort and hinder recovery.

Post-operative sore throat, nebulization, lidocaine, dexmedetomidine, endotracheal intubation, airway morbidity, patient comfort score, randomized controlled trial, pre-emptive analgesia, general anesthesia

A Comprehensive Review of Machine Learning and Explainable AI Techniques for Disease Prediction Systems

Large amounts of diverse medical data have been produced because of the quick development of digital healthcare systems, offering substantial chances to use machine learning methods for clinical decision support and illness prediction.

Machine learning, explainable artificial intelligence, disease prediction, deep learning, digital healthcare

The Role of Artificial Intelligence and Machine Learning in Redefining Global Healthcare Systems and Advancing Medical Innovation

Health Services are being revolutionized with AI and ML through improved accuracy, efficiency and accessibility in the delivery of health care.

Artificial intelligence, machine learning, healthcare, personalized medicine, management

Design of an Integrated Health Monitoring System on an IoT-Based Framework

With the advent of industrialization, health ailments have become a major cause of concern owing to an inactive and fast lifestyle, polluted environments, and detrimental eating habits.

Internet of Things, healthcare, IoT applications, remote monitoring, wearable devices, integrated health monitoring system, data privacy

Comparative Analysis and Future Research Directions in AI in Healthcare: Medical Imaging and Diagnostics

Artificial intelligence (AI) is reshaping healthcare, particularly in the areas of medical imaging and diagnostic practice.

Computed tomography, fluoroscopy, magnetic resonance imaging, mammography, positron emission tomography, radiography, single photon emission computed tomography, ultrasound, X-ray

Data to Diagnosis: A Systematic Review of AI/ML in Healthcare

Artificial Intelligence (AI) and Machine Learning (ML) are fast revolutionizing the diagnosis of healthcare by augmenting accuracy, speed, and efficiency.

Artificial Intelligence (AI), Machine Learning (ML), healthcare diagnostics, real-time diagnosis, predictive modeling, image processing, clinical data analysis, medical imaging, pattern recognition, diagnostic accuracy, early disease detection