Applications of Medical Artificial Intelligence

.- Sequential Organ Motion Prediction via Autoregressive Modeling.

.-Seeing More with Less: Video Capsule Endoscopy with Multi-Task Learning.

.-TUBA: AI-Assisted Nasogastric Tube Placement Assessment System.-Evaluating Foundation Models with Pathological Concept Learning for Kidney Cancer.-Joint Task Network for Integrating Cognitive Scores and Image Feature in AD Diagnosis.-Interpretable Rheumatoid Arthritis Scoring via Anatomy-aware Multiple Instance Learning.-PanDx: AI-assisted Early Detection of Pancreatic Ductal Adenocarcinoma on Contrast-enhanced CT.-MVMIL: Multi-view Multiple Instance Learning for Whole Slide Image Classification of Bladder Cancer.-Multi-stage Multi-resolution Fusion for Accurate and Efficient Whole Slide Image Segmentation in Colorectal Cancer.-Transformer-Based Instance Detection in 3D Medical Images.-MIRAGE: Retrieval and Generation of Multimodal Images and Texts for Medical Education.-Multitask Deep Learning Model for Liver Segmentation and Lesion Classification from Multisequence MRI.-HU-based Foreground Masking for 3D Medical Masked Image Modeling.-FLOw-Loss: A Hybrid Loss for Centerline-Aware Segmentation in XCA
.-XTag-CLIP: Robust and Reliable Thyroid Scar Analysis with Limited Data via Cross-Attention.-Text2Organ: Text-Driven Multimodal Organ Segmentation for CT scans.-Towards Field-Ready AI-based Malaria Diagnosis: A Continual Learning Approach.-Privacy-Centric Seizure Diagnosis via Relation-Aware Fusion of Minimally-Invasive Modalities.-Whole-body Representation Learning For Competing Preclinical Disease Risk Assessment.-Multimodal Sheaf-based Network for Glioblastoma Molecular Subtype Prediction.-Evaluating Large Language Models for Automated Clinical Abstraction in Pulmonary Embolism Registries: Performance Across Model Sizes, Versions, and Parameters.-MFG Sampling: Solving Inverse Problems in Multi-Level High-Frequency Guidance via Diffusion Models.-Vision-Language Sliding Cross Attention for Text-guided Pneumonia Segmentation.-Flexible Multimodal Neuroimaging Fusion for Alzheimer's Disease Progression Prediction.-Dynamic Robot-Assisted Surgery with Hierarchical Class-Incremental Semantic Segmentation.-A modular deep-learning pipeline for automated aorta characterization on CT.-Echo-Path: Pathology-Conditioned Echo Video Generation.-Domain-Specific Pretraining and Fine-Tuning with Contrastive Learning for Fluorescence Microscopic Image Segmentation.-Automatic Segmentation of Lower-Limb Arteries on CTA for Pre-surgical Planning of Peripheral Artery Disease.-Feature-space Kernel Prediction Network for Denoising of Low-dose Brain CT
.-Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery.-Towards Automatic Diagnosis of Pediatric Obstructive Sleep Apnoea-Hypopnoea Syndrome using Facial Features.-Benchmarking MRISegmenter++ for Splenomegaly: A Comprehensive Comparative Study.-3D CT-Based Coronary Calcium Assessment: A Feature-Driven Machine Learning Framework.-MoERad: Mixture of Experts for Radiology Report Generation from Chest X-ray Images.-Tabular Data-enhanced Multi-modal Alignment and Synthesis for Alzheimer's Disease Diagnosis.-Bias-Resilient Feature Learning for Robust Domain Adaptation in Mammography.