ARCHIVES
Review Article
To study MEDGPT algorithm for AI-Based Medical Report Analytics and Virtual Care System
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-June 2026
Pages: 355-359
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260703037
References
1. Santos-Silva, M.A., Sousa, N., and Sousa, J.C., "Artificial Intelligence in Routine Blood Tests," Frontiers in Medical Engineering,
Vol. 11, No. 2, pp. 145–152, 2025.
2. Naouali, S. and El Othmani, O., "AI-Driven Automated Blood Cell Anomaly Detection," PubMed, Vol. 13, No. 1, pp. 56–63, 2024.
3. Obeagu, E.I., "Application of AI in the Diagnosis of Haematological Disorders," PubMed Central (PMC), Vol. 10, No. 3, pp. 201–
208, 2024.
4. Xie, Q., Jia, Y., and Liu, X., "Integration of AI in Clinical Laboratory Medicine: Advancements and Challenges," ScienceDirect,
Vol. 17, No. 4, pp. 498–506, 2023.
5. Shukla, V.K., "A Comprehensive Review of AI-Driven Urine Analysis," ES Publisher, Vol. 9, No. 2, pp. 120–126, 2023.
6. Demir, R., "Artificial Intelligence Assisted Patient Blood and Urine Analysis," Scientific Reports, Vol. 15, No. 5, pp. 242–250, 2024.
7. Gunčar, G., et al., "An Application of Machine Learning to Haematological Diagnosis," Scientific Reports, Vol. 8, No. 1, pp. 411–
420, 2018.
8. Red Hat, "AI in Healthcare: How Cloud Integration Improves Data Flow," Red Hat Documentation, 2024.
9. Amazon Web Services, "Building AI-Powered Medical Applications on AWS," AWS Documentation, 2024.
10. Google Cloud, "Using Cloud APIs for Healthcare Data Exchange," Google Cloud Documentation, 2024.
11. 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.
12. 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.
13. 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.
14. 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 (ICICT), IEEE Xplore, pp. 1961–1968,
2024.
15. Neelam Labhade-Kumar, "Novel Management Trends Using IoT in Indian Automotive Spares Manufacturing Industries," Journal
of Pharmaceutical Negative Results, Vol. 13, No. 09, pp. 4887–4899, 2022.
16. Neelam Labhade-Kumar, "Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission in WSN," Journal of
Pharmaceutical Negative Results, Vol. 14, No. 02, pp. 480–484, 2023.
17. 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, No. 2, pp. 45–56, 2023.
18. 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.
19. 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, No. 2, pp. 586–599, 2024.
20. 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
Vol. 11, No. 2, pp. 145–152, 2025.
2. Naouali, S. and El Othmani, O., "AI-Driven Automated Blood Cell Anomaly Detection," PubMed, Vol. 13, No. 1, pp. 56–63, 2024.
3. Obeagu, E.I., "Application of AI in the Diagnosis of Haematological Disorders," PubMed Central (PMC), Vol. 10, No. 3, pp. 201–
208, 2024.
4. Xie, Q., Jia, Y., and Liu, X., "Integration of AI in Clinical Laboratory Medicine: Advancements and Challenges," ScienceDirect,
Vol. 17, No. 4, pp. 498–506, 2023.
5. Shukla, V.K., "A Comprehensive Review of AI-Driven Urine Analysis," ES Publisher, Vol. 9, No. 2, pp. 120–126, 2023.
6. Demir, R., "Artificial Intelligence Assisted Patient Blood and Urine Analysis," Scientific Reports, Vol. 15, No. 5, pp. 242–250, 2024.
7. Gunčar, G., et al., "An Application of Machine Learning to Haematological Diagnosis," Scientific Reports, Vol. 8, No. 1, pp. 411–
420, 2018.
8. Red Hat, "AI in Healthcare: How Cloud Integration Improves Data Flow," Red Hat Documentation, 2024.
9. Amazon Web Services, "Building AI-Powered Medical Applications on AWS," AWS Documentation, 2024.
10. Google Cloud, "Using Cloud APIs for Healthcare Data Exchange," Google Cloud Documentation, 2024.
11. 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.
12. 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.
13. 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.
14. 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 (ICICT), IEEE Xplore, pp. 1961–1968,
2024.
15. Neelam Labhade-Kumar, "Novel Management Trends Using IoT in Indian Automotive Spares Manufacturing Industries," Journal
of Pharmaceutical Negative Results, Vol. 13, No. 09, pp. 4887–4899, 2022.
16. Neelam Labhade-Kumar, "Adaptive Hybrid Bird Swarm Optimization Based Efficient Transmission in WSN," Journal of
Pharmaceutical Negative Results, Vol. 14, No. 02, pp. 480–484, 2023.
17. 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, No. 2, pp. 45–56, 2023.
18. 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.
19. 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, No. 2, pp. 586–599, 2024.
20. 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
Related Articles
2026
AI-Based Stomach Cancer Detection Using Biomarkers, Medical Images, and Voice Analysis
2026
Hydrogen-Efficient Eco-Driving and Route Planning for Fuel-Cell Electric Vehicles Using Multi-Objective Optimization Under Traffic and Terrain Uncertainty
2026
A Data-Driven Machine Learning Framework for Assessing Patent Commercial Value and Technological Significance
2026
Evaluating Student Academic Performance Through a Benchmark of Fuzzy Reasoning Models
2026
A Hybrid Soft Computing Approach for Managing Uncertainty in Data Analytics
2026
