Current - Issue
Original Article
To Design an AI-Based Medical Report Analytics and Virtual Care System (MEDGPT) using Machine Learning and Web Technologies
Yogita More1
Aditya Deore2
1 Professor, SRCOE, Department of Computer Engineering, Pune, Maharashtra, India. 2 Student, SRCOE, Department of Computer Engineering, Pune, Maharashtra, India.
Published Online: May-August 2026
Pages: 637-645
Cite this article
↗ https://www.doi.org/10.59256/indjcst.20260502074References
1. Ray Smith, "An Overview of the Tesseract OCR Engine", Proceedings of the Ninth International Conference on Document Analysis and
Recognition (ICDAR), Vol. 2, pp. 629-633, 2007.
2. Jian Wang, Hong Li and Yong Zhang, "Medical Information Extraction from Clinical Reports Using Natural Language Processing
Techniques", IEEE Access, Vol. 9, pp. 112345-112357, 2021.
3. P. Patel and A. Kumar, "Healthcare Data Visualization and Analytics for Intelligent Health Monitoring Systems", International Journal of
Medical Informatics, Vol. 148, Article No. 104392, 2021.
4. Tom B. Brown, Benjamin Mann, Nick Ryder et al., "Language Models are Few-Shot Learners", Advances in Neural Information Processing
Systems (NeurIPS), Vol. 33, pp. 1877-1901, 2020.
5. Xiaoyu Chen, Y. Liu and Z. Wang, "AI-Based Conversational Healthcare Assistants for Medical Information Support", Journal of Healthcare
Engineering, Vol. 2022, Issue 1, pp. 1-12, 2022.
6. Ashish Vaswani, Noam Shazeer, Niki Parmar et al., "Attention Is All You Need", Advances in Neural Information Processing Systems
(NeurIPS), Vol. 30, pp. 5998-6008, 2017.
7. Daniel Jurafsky and James H. Martin, "Speech and Language Processing", Pearson Education, 3rd Edition, pp. 1-1210, 2021.
8. Neelam Labhade-Kumar, Mangala S. Biradar and Ashvini Narayan Pawale, "Reinforcement Learning-Based Deep FEFM for Blockchain
Consensus Mechanism Optimization with Non-Linear Analysis", Journal of Computational Analysis and Applications, Vol. 33, No. 05, 2024.
9. Neelam Labhade-Kumar, "Shot Boundary Detection Using Artificial Neural Network", Advances in Signal and Data Processing, Lecture
Notes in Electrical Engineering, Vol. 703, pp. 44-55, 2021.
10. Neelam Labhade-Kumar, "Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and Statistical
Analysis of the Hybrid Energy-Efficient Distributed (HEED) Algorithm", Communications on Applied Nonlinear Analysis, Vol. 31, No. 6s,
pp. 602-617, 2024.
11. Neelam Labhade-Kumar, "Experimental Design of Electricity Theft Detection and Alert System Using Arduino Assisted Controller and
Smart Sensors", 7th International Conference on Inventive Computation Technologies, IEEE Xplore, pp. 1961-1968, 2024.
12. Neelam Labhade-Kumar, "Novel Management Trends Using IoT in Indian Automotive Spares Manufacturing Industries", Journal of
Pharmaceutical Negative Results, Vol. 13, Issue 09, pp. 4887-4899, 2022.
13. Neelam Labhade-Kumar, "Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission in WSN", Journal of Pharmaceutical
Negative Results, Vol. 14, Issue 02, pp. 480-484, 2023.
14. Neelam Labhade-Kumar, "Combining Hand-crafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT Scans",
Journal of Artificial Intelligence and Technology, Vol. 3, Issue 2, pp. 45-56, 2023.
15. Neelam Labhade-Kumar, "Enhancing Crop Yield Prediction in Precision Agriculture through Sustainable Big Data Analytics and Deep
Learning Techniques", Carpathian Journal of Food Science and Technology, Special Issue, pp. 1-18, 2023.
16. Neelam Labhade-Kumar, "Accident Prevention and Management System in Urban VANET for Improving Slippery Roads Ride After Rain",
Journal of Environmental Protection and Ecology, Vol. 25, Issue 2, pp. 586-599, 2024.
17. Neelam Labhade-Kumar, "An Image Processing Method for Kidney Stone Segmentation in CT Scan Images Based on CNN-Regularized
Extreme Learning Machine Approach", Hybrid and Advanced Technologies, pp. 217-222, 2024.
Recognition (ICDAR), Vol. 2, pp. 629-633, 2007.
2. Jian Wang, Hong Li and Yong Zhang, "Medical Information Extraction from Clinical Reports Using Natural Language Processing
Techniques", IEEE Access, Vol. 9, pp. 112345-112357, 2021.
3. P. Patel and A. Kumar, "Healthcare Data Visualization and Analytics for Intelligent Health Monitoring Systems", International Journal of
Medical Informatics, Vol. 148, Article No. 104392, 2021.
4. Tom B. Brown, Benjamin Mann, Nick Ryder et al., "Language Models are Few-Shot Learners", Advances in Neural Information Processing
Systems (NeurIPS), Vol. 33, pp. 1877-1901, 2020.
5. Xiaoyu Chen, Y. Liu and Z. Wang, "AI-Based Conversational Healthcare Assistants for Medical Information Support", Journal of Healthcare
Engineering, Vol. 2022, Issue 1, pp. 1-12, 2022.
6. Ashish Vaswani, Noam Shazeer, Niki Parmar et al., "Attention Is All You Need", Advances in Neural Information Processing Systems
(NeurIPS), Vol. 30, pp. 5998-6008, 2017.
7. Daniel Jurafsky and James H. Martin, "Speech and Language Processing", Pearson Education, 3rd Edition, pp. 1-1210, 2021.
8. Neelam Labhade-Kumar, Mangala S. Biradar and Ashvini Narayan Pawale, "Reinforcement Learning-Based Deep FEFM for Blockchain
Consensus Mechanism Optimization with Non-Linear Analysis", Journal of Computational Analysis and Applications, Vol. 33, No. 05, 2024.
9. Neelam Labhade-Kumar, "Shot Boundary Detection Using Artificial Neural Network", Advances in Signal and Data Processing, Lecture
Notes in Electrical Engineering, Vol. 703, pp. 44-55, 2021.
10. Neelam Labhade-Kumar, "Optimizing Cluster Head Selection in Wireless Sensor Networks Using Mathematical Modeling and Statistical
Analysis of the Hybrid Energy-Efficient Distributed (HEED) Algorithm", Communications on Applied Nonlinear Analysis, Vol. 31, No. 6s,
pp. 602-617, 2024.
11. Neelam Labhade-Kumar, "Experimental Design of Electricity Theft Detection and Alert System Using Arduino Assisted Controller and
Smart Sensors", 7th International Conference on Inventive Computation Technologies, IEEE Xplore, pp. 1961-1968, 2024.
12. Neelam Labhade-Kumar, "Novel Management Trends Using IoT in Indian Automotive Spares Manufacturing Industries", Journal of
Pharmaceutical Negative Results, Vol. 13, Issue 09, pp. 4887-4899, 2022.
13. Neelam Labhade-Kumar, "Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission in WSN", Journal of Pharmaceutical
Negative Results, Vol. 14, Issue 02, pp. 480-484, 2023.
14. Neelam Labhade-Kumar, "Combining Hand-crafted Features and Deep Learning for Automatic Classification of Lung Cancer on CT Scans",
Journal of Artificial Intelligence and Technology, Vol. 3, Issue 2, pp. 45-56, 2023.
15. Neelam Labhade-Kumar, "Enhancing Crop Yield Prediction in Precision Agriculture through Sustainable Big Data Analytics and Deep
Learning Techniques", Carpathian Journal of Food Science and Technology, Special Issue, pp. 1-18, 2023.
16. Neelam Labhade-Kumar, "Accident Prevention and Management System in Urban VANET for Improving Slippery Roads Ride After Rain",
Journal of Environmental Protection and Ecology, Vol. 25, Issue 2, pp. 586-599, 2024.
17. Neelam Labhade-Kumar, "An Image Processing Method for Kidney Stone Segmentation in CT Scan Images Based on CNN-Regularized
Extreme Learning Machine Approach", Hybrid and Advanced Technologies, pp. 217-222, 2024.
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