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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Issue: December 2025
Volume 10 | Issue 12
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19459
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 145
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| Paper Title: | Intelligent Maternal and Neonatal Health: AI-Powered Innovations For Early Detection And Personalized Care |
| Authors Name: | N.M.K. Ramalingam Sakthivelan , P. Pradeep , B. Prem , S. Vishal |
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IJRTI_202736
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| Published Paper Id: | IJRTI2504192 |
| Published In: | Volume 10 Issue 4, April-2025 |
| DOI: | |
| Abstract: | Maternal and neonatal healthcare faces significant challenges due to delayed diagnosis, limited accessibility, and inadequate real-time monitoring, especially in low-resource settings. This project leverages Artificial Intelligence (AI), Internet of Things (IoT), and Blockchain to provide early detection and personalized care for maternal and neonatal health. Deep learning models analyze ultrasound images to predict preterm births, while machine learning algorithms detect gestational diabetes, anemia, and fetal distress. Wearable IoT sensors monitor maternal and fetal vitals in real-time, ensuring proactive interventions. Blockchain technology secures and decentralizes medical records, enhancing data privacy and patient control. Additionally, an AI-powered chatbot with Natural Language Processing (NLP) and sentiment analysis detects postpartum depression (PPD) and stress, offering mental health support. Smartphone-based AI diagnostics enable low-cost detection of anemia, glucose levels, and infections, making healthcare more affordable and accessible in remote areas. This innovative system aims to bridge the gap in maternal and neonatal care, ensuring safer pregnancies, improved newborn health, and enhanced healthcare accessibility. |
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| Cite Article: | "Intelligent Maternal and Neonatal Health: AI-Powered Innovations For Early Detection And Personalized Care", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b734-b739, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504192.pdf |
| Downloads: | 000351 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2504192
Registration ID:202736
Published In: Volume 10 Issue 4, April-2025
DOI (Digital Object Identifier):
Page No: b734-b739 Country: Namakkal, Tamilnadu , India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2504192 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2504192 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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