Clinical Intelligence Research Press

Journal of Artificial Intelligence for Healthcare Systems

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A Temporal Convolutional Network with Attention for Sepsis Prediction: A Conceptual Framework for Analyzing High-Frequency Vital Signs in Intensive Care Units

Michael Turner, Sophia Nguyen, David Clark & Emma Wilson

Original Research | Open access | 20 January 2022 | Article: 53

Why Most Sepsis Prediction Models Fail at the Bedside: A Position Paper on the Gap Between AUROC and Clinical Utility

Wei Chen & Li Zhang

Original Research | Open access | 20 January 2022 | Article: 54

From Retrospective Models to Real-Time Sepsis Prediction: A Perspective on Continuous Vital Sign Monitoring and Edge AI–Enabled Clinical Decision Support

Hiroshi Tanaka, Yuki Sato, Kenji Mori, Rina Okabe & Takashi Ito

Original Research | Open access | 20 January 2022 | Article: 55

Machine Learning for Early Sepsis Prediction in Intensive Care Units from 2017 to 2021: A Systematic Review of Prediction Horizons, Vital Sign Modalities, and Validation Strategies

Lucas Meyer, Anna Schmid & Stefan Braun

Review | Open access | 20 January 2022 | Article: 56

A Conceptual Framework for Federated Learning in Acute Kidney Injury Prediction

Maria Hernandez & Carlos Vega

Original Research | Open access | 20 January 2022 | Article: 57

Multimodal Transformer Architecture for ARDS Detection: A Framework Integrating Chest X-Ray, Clinical Notes, and Laboratory Values

Ravi Kumar, Neha Sharma, Aniket Deshmukh, Arjun Nair & Meera Pillai

Original Research | Open access | 20 January 2022 | Article: 58

Reinforcement Learning for Intravenous Fluid Resuscitation in Septic Shock: A Position Paper on Safety Constraints, Reward Design, and Clinical Oversight

Claire Martin, Julien Robert, Sophie Bernard & Antoine Girard

Original Research | Open access | 20 January 2022 | Article: 59

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