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• Temporal Concept Tracing: Making Deep Learning Predictions Interpretable and Actionable for ICU Acute Kidney Injury Prevention

  S M Saiful Islam Badhon, Serdar Bozdag, Mohammad Adibuzzaman, Ana D. Cleveland, Junhua Ding, KSM Tozammel Hossain

  448-455

  2025-11-23

• CORE-Coma: Deep Learning Framework for Coma Prognosis from Auditory Event-Related Potentials

  Elham Bagheri, Paniz Tavakoli, Adianes Herrera-Diaz, Rober Boshra, Richard Kolesar, Alison Fox-Robichaud, John F. Connolly, James Reilly

  456-465

  2025-11-23

• Category-Aware Fine-Tuning and Cross-Age Transferability in Image Memorability Prediction

  Elham Bagheri, Johann Cardenas, Yalda Mohsenzadeh

  466-473

  2025-11-23

• Embedding vs Image-Based AI: A Comparative Fairness Study in Chest X-ray Analysis

  Gebreyowhans H. Bahre, Hassan Hamidi, Andrew B. Sellergren, Leo Anthony Celi, Francesco Calimeri, Laleh Seyyed-Kalantari

  474-480

  2025-11-23

• Shard-Unlearn: A Sharded Elastic SGD Privacy Preserving Federated Unlearning Framework for 5G-assisted Healthcare

  Sudip Chatterjee, Samyak Jain, Pronaya Bhattacharya, Sandip Roy, Soumya Banerjee, Pratip Rana, Sachin Shetty

  481-487

  2025-11-23

• Visual Gait Alignment for Sensorless Prostheses: Toward an Interpretable Digital Twin Framework

  Jingyang Cui, Fei Hu, Greg Berkeley, Weiqiang Lyu, Xiangrong Shen

  488-495

  2025-11-23

• Fine-Tuning Large Language Models for Structured Clinical Report Generation Using GRPO

  Uday Devulapalli, Aarat Satsangi, Apurva Narayan

  496-500

  2025-11-23

• Predicting Glucose Test Ordering in Hospitalized Patients Using Temporal Models of Clinical Context Embeddings

  Joud El-Shawa, Elham Bagheri, Amol Verma, Yalda Mohsenzadeh

  501-505

  2025-11-23

• Towards Personalized Explanations for Health Simulations: A Mixed-Methods Framework for Stakeholder-Centric Summarization

  Philippe J. Giabbanelli, Ameeta Agrawal

  506-515

  2025-11-23

• Data-Aware Layer Assignment for Secure and Efficient Communication in Federated Learning for Medical Image Analysis

  Sai Sriram Gonthina, Sandip Roy, Pronaya Bhattacharya, Pratip Rana, Sachin Shetty

  516-523

  2025-11-23

• One Pixel Can Change the Diagnosis: Adversarial and Non-Adversarial Robustness and Uncertainty in Breast Ultrasound Classification Model

  Kuan Huang, Noorul Sahel, Dikshya Karki, Meng Xu, Yingfeng Wang

  524-529

  2025-11-23

• Filtered-ViT: A Robust Defense Against Multiple Adversarial Patch Attacks

  Aja Khanal, Ahmed Faid, Apurva Narayan

  530-538

  2025-11-23

• Conformal Prediction and Verification of Large Language Model Extractions in EHR Data

  Edward Kim, Richard Foty, Manil Shrestha, Vicki Seyfert-Margolis

  539-546

  2025-11-23

• Transfer Learning for Subject-Independent Sleep Deprivation Detection from Resting-State EEG

  Daya Kumar, Uday Devulapalli, Saptharishi Lalgudi Ganesan, Apurva Narayan

  547-552

  2025-11-23

• From Bias to Breakdown: Benchmarking Failure Mode Analysis of Single-cell RNA Sequencing Foundation Models in Acute Myeloid Leukemia

  Amirreza Naziri, Arash Asgari, Aijun An, Eleftherios Sachlos, Laleh Seyyed-Kalantari

  553-557

  2025-11-23

• Towards Reliable Lung Cancer Prediction: A Hybrid Framework for Noise Reduction and Uncertainty Control

  Sourojit Pal, Sandip Roy, Pratip Rana, Avishek Banerjee, Koushik Majumder, Sachin Shetty

  558-565

  2025-11-23

• Efficient Context Retention in LLMs: Enhancing In-Context Memorization as an Alternative

  Bansari Patel, Edward Kim

  566-566

  2025-11-23

• C2BM: Causal Concept Disentanglement for Fair Multimodal COVID-19 Detection

  Letu Qingge, Hailemicael Lulseged Yimer, Maxwell Sam, Richard Annan, Robert Newman, Hong Qin

  567-575

  2025-11-23

• Preventing Another Tessa: Modular Safety Middleware for Health-Adjacent AI Assistants

  Pavan Reddy, Nithin Reddy

  576-583

  2025-11-23

• Hermes: A Modular Multi-Agent System for Structuring Clinical Text

  Aarat Satsangi, Joud El-Shawa, Uday Devulapalli, Apurva Narayan

  584-589

  2025-11-23

• Confidence Calibration in Large Language Models for Uncertainty Quantification: Affecting Calibration with Conditional Weight Updates

  Sophia Somers, Edward Kim

  590-593

  2025-11-23

• Duty of Care: A Call for Open and Responsible AI Innovation in Healthcare

  Jonathan S. Takeshita

  594-598

  2025-11-23

• Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography

  Jacopo Teneggi, J. Webster Stayman, Jeremias Sulam

  599-605

  2025-11-23

• Adaptive Explanations via Direct Preference Optimization

  Jacopo Teneggi, Zhenzhen Wang, Paul H. Yi, Tianmin Shu, Jeremias Sulam

  606-611

  2025-11-23

• How Missing Medication Data Contributes to Bias in Alzheimer’s Disease Machine Learning Models

  Earlel Thiyagaratnam, Hawwa Khan, Apurva Narayan

  612-619

  2025-11-23