Applications of Medical Artificial Intelligence

Exploring CNN and Transformer-based Architectures to Improve Image Segmentation for Chronic Wound Measurement.- From Pixel Scores to Clinical Impacts: The Implicit Choices in FROC Metric Design and Their Consequences.- Head CT Scan Motion Artifact Correction via Diffusion-Based Generative Models.- SP-NAS: Surgical Phase Recognition-based Navigation Adjustment System for distal gastrectomy.- Transforming Multimodal Models into Action Models for Radiotherapy.- Enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis.- Targeted Visual Prompting for Medical Visual Question Answering.- Deep Learning for Resolving 3D Microstructural Changes in the Fibrotic Liver.- Predicting Falls through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework.- Optimizing ICU Readmission Prediction: A Comparative Evaluation of AI Tools.- Source Matters: Source Dataset Impact on Model Robustness in Medical Imaging.- Evaluating Perceived Workload, Usability and Usefulness of Artificial Intelligence Systems in Low-Resource Settings: Semi-Automated Classification and Detection of Community Acquired Pneumonia.- Incremental Augmentation Strategies for Personalised Continual Learning in Digital Pathology Contexts.- Assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears.- Automated Feedback System for Surgical Skill Improvement in Endoscopic Sinus Surgery.- Quantifying Knee Cartilage Shape and Lesion: From Image to Metrics.- RadImageGAN - A Multi-modal Dataset-Scale Generative AI for Medical Imaging.- Ensemble-KAN: Leveraging Kolmogorov Arnold Networks to Discriminate Individuals with Psychiatric Disorders from Controls.- SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury.- EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models.- Evaluating the Impact of Pulse Oximetry Bias in Machine Learning under Counterfactual Thinking.- Normative Modeling with Focal Loss and Adversarial Autoencoders for Alzheimer's Disease Diagnosis and Biomarker Identification.- One-Shot Medical Video Object Segmentation via Temporal Contrastive Memory Networks.- Data-Efficient Radiology Report Generation via Similar Report Features Enhancement.