Trustworthy AI for
early medical diagnosis

Approach

Diagnosis research first

The work to be known for is explainable, calibrated diagnosis research and the open tools that carry it. Full-stack engineering is the supporting capacity used to build and release that software.

Research focus

Trustworthy diagnostic AI: explainable and calibrated

I am advancing AI methods that support earlier, more reliable diagnosis of high-burden diseases, and releasing the validation tools so that other U.S. laboratories, students, and public-health research partners can reuse them.

Roadmap

Planned work in the United States

Concrete next steps that build directly on completed work.

Scholarship

Publications

13 peer-reviewed publications and 1 book. Accepted, under-review, and in-preparation items are listed separately and are not included in that count. Author roles match publisher lists. Citation counts from Google Scholar (84 citations, h-index 5, checked 26 October 2026).

Medical diagnosis

• First author Hossain, M.R. et al. Hybrid Deep Learning Framework for Knee Osteoporosis Diagnosis Using CNNs and Fine-Tuned Multimodal Large Language Models. ICSADL, IEEE, 2026. doi:10.1109/ICSADL67539.2026.11451868 · Cited by 31
• Co-author Asad, M., Khan, M., Hossain, M.R., et al. CRuSE-Heart: Explainable AI for Risk-Controlled Selective Ensembles in Heart-Attack Screening. Discover Artificial Intelligence (Springer Nature), 2026. doi:10.1007/s44163-026-01378-x · Cited by 4
• Co-author Asad, M., Islam, M., Khan, M., et al. Feature-weighted calibrated tabular explainable AI for heart disease prediction. Discover Artificial Intelligence 6, 1642 (2026), Springer Nature. Published 25 October 2026. doi:10.1007/s44163-026-02360-3
• Co-author Enhanced Colorectal Cancer Image Classification Using a Custom Deep Convolutional Neural Network. ICSADL, IEEE, 2026. doi:10.1109/ICSADL67539.2026.11452002 · Cited by 20
• Co-author Early Diagnosis of Diabetic Retinopathy Through AI-Based Optimized Ensemble Classification. ICARC, IEEE, 2026. doi:10.1109/ICARC68737.2026.11453518
• Co-author Optimizing Transfer Learning: A Deep Learning Approach for High-Accuracy Classification of Alzheimer’s Disease Stages. AISEI, IEEE, 2026. doi:10.1109/AISEI68628.2026.11572889 · Cited by 2
• Co-author Hybrid Vision Transformer and CNN Architectures for Multi-Class Classification in Gastrointestinal Endoscopy. AISEI, IEEE, 2026. doi:10.1109/AISEI68628.2026.11572866
• Co-author AI-Enabled Early Brain Glioma Grade Classification Using Clinical and Mutation-Based Features. QPAIN, IEEE, 2026. doi:10.1109/QPAIN69676.2026.11546282

Accepted and under review

• Co-author Image Recognition for Early Diagnosis and Prognosis of Alzheimer’s Disease Using Multimodal Brain Imaging. ICEFronT 2026. Accepted (proceedings and DOI forthcoming).
• Co-author Explainable Hybrid CNN and Graph Neural Network for Multispectral Chest X-Ray Classification. Emerging Science Journal. Accepted with minor revision.
• Co-author Enhanced Brain Tumor Diagnosis Through Multi-Modal Feature Analysis and Hyperparameter-Tuned XGBoost Classifier. Expert Systems With Applications (Elsevier). Under review.
• Co-author Integrating Custom CNN and Explainable AI for Evaluating GNNs and CNNs in Brain Tumor MRI Classification. Healthcare Analytics (Elsevier). Under review.

In preparation — first author

• First author When EHR Risk Models Look Too Good: A Controlled Audit of Temporal Leakage, Split Strategy, and Inflated Discrimination in Chronic-Disease Risk Prediction. Not yet submitted.
• First author Calibrated Probabilities and Risk-Controlled Abstention for EHR-Based Clinical Risk Prediction: When Models Should Defer. Not yet submitted.

Book and review article

• Lead author Hossain, M.R. Artificial Intelligence in Healthcare: Early Disease Detection and Clinical Risk Prediction from Electronic Health Records. First Edition, Harithpatra Prokashon, Dhaka, 2026. ISBN 978-984-29284-1-3.
• Co-author Revolutionizing Drug Discovery: A Systematic Review of AI and Machine Learning Application. ICSSAS, IEEE, 2025. doi:10.1109/ICSSAS66150.2025.11081368 · Cited by 8

Other computer-vision applications

• Co-author Advancing Public Safety with Real-Time Life Jacket Detection and Demographic Profiling Using YOLOv8 and Age Classification. EAI Endorsed Transactions on AI and Robotics, 2025. doi:10.4108/airo.9785 · Cited by 13
• Co-author Bangladeshi License Plate Detection and Recognition Using YOLO Variants and Enhanced OCR. RTIP2R, Marrakech, 2025.
• Co-author Transparency in Fabric Defect Detection by Leveraging Explainable AI. RTIP2R, Marrakech, 2025.
• Co-author Automated Jute Leaf Disease Detection Using CNNs. ICSADL, IEEE, 2026. doi:10.1109/ICSADL67539.2026.11451802 · Cited by 6

Open software

Research tools released for reuse

Service

Peer review

Twelve completed reviews: 3 + 1 + 1 journal reviews and 1 + 1 + 1 + 4 conference reviews. The three Biomedical Physics & Engineering Express reviews are Web of Science (Clarivate) verified. Profile: WoS reviewer record.

Training: Nature Masterclasses Focus on Peer Review; Elsevier Researcher Academy modules (2026). ResearcherID: PUC-9517-2026.

Industry

Professional experience

Production AI and full-stack delivery in the United States, showing the engineering capacity to ship reliable research software.

Also built the open-source AGC Framework (agent governance and control library, published on Maven Central) and worked as an independent contractor on web and AI products.

Credentials

Education & professional standing

Contact

Get in touch

• mdrana.hossain@miu.edu (academic)
• ranasl62@gmail.com
• Detroit, Michigan, USA
• ORCID 0009-0005-5996-719X
• Google Scholar
• LinkedIn
• GitHub
• Web of Science / Publons
• Credly