#Medical AI
Latest news articles tagged with "Medical AI". Follow the timeline of events, related topics, and entities.
Articles (30)
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πΊπΈ DosimeTron: Automating Personalized Monte Carlo Radiation Dosimetry in PET/CT with Agentic AI
[USA]
arXiv:2604.06280v1 Announce Type: cross Abstract: Purpose: To develop and evaluate DosimeTron, an agentic AI system for automated patient-specific MC internal radiation dosimetry in PET/CT examinatio...
Related: #Radiation Dosimetry, #Healthcare Technology -
πΊπΈ MorphDistill: Distilling Unified Morphological Knowledge from Pathology Foundation Models for Colorectal Cancer Survival Prediction
[USA]
arXiv:2604.06390v1 Announce Type: cross Abstract: Background: Colorectal cancer (CRC) remains a leading cause of cancer-related mortality worldwide. Accurate survival prediction is essential for trea...
Related: #Oncology, #Technology -
πΊπΈ FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy
[USA]
arXiv:2603.19512v1 Announce Type: cross Abstract: The reliability of artificial intelligence (AI) in medical imaging critically depends on its robustness to heterogeneous and corrupted images acquire...
Related: #Data Privacy -
πΊπΈ HiPath: Hierarchical Vision-Language Alignment for Structured Pathology Report Prediction
[USA]
arXiv:2603.19957v1 Announce Type: cross Abstract: Pathology reports are structured, multi-granular documents encoding diagnostic conclusions, histological grades, and ancillary test results across on...
Related: #Pathology Automation -
πΊπΈ Gastric-X: A Multimodal Multi-Phase Benchmark Dataset for Advancing Vision-Language Models in Gastric Cancer Analysis
[USA]
arXiv:2603.19516v1 Announce Type: cross Abstract: Recent vision-language models (VLMs) have shown strong generalization and multimodal reasoning abilities in natural domains. However, their applicati...
Related: #Cancer Research, #Dataset Development -
πΊπΈ Understanding Task Aggregation for Generalizable Ultrasound Foundation Models
[USA]
arXiv:2603.18123v1 Announce Type: cross Abstract: Foundation models promise to unify multiple clinical tasks within a single framework, but recent ultrasound studies report that unified models can un...
Related: #Ultrasound Technology -
πΊπΈ CoDA: Exploring Chain-of-Distribution Attacks and Post-Hoc Token-Space Repair for Medical Vision-Language Models
[USA]
arXiv:2603.18545v1 Announce Type: cross Abstract: Medical vision--language models (MVLMs) are increasingly used as perceptual backbones in radiology pipelines and as the visual front end of multimoda...
Related: #AI Security -
πΊπΈ Interpretable Prostate Cancer Detection using a Small Cohort of MRI Images
[USA]
arXiv:2603.18460v1 Announce Type: cross Abstract: Prostate cancer is a leading cause of mortality in men, yet interpretation of T2-weighted prostate MRI remains challenging due to subtle and heteroge...
Related: #Cancer Detection -
πΊπΈ MedForge: Interpretable Medical Deepfake Detection via Forgery-aware Reasoning
[USA]
arXiv:2603.18577v1 Announce Type: new Abstract: Text-guided image editors can now manipulate authentic medical scans with high fidelity, enabling lesion implantation/removal that threatens clinical t...
Related: #Deepfake Detection -
πΊπΈ WeNLEX: Weakly Supervised Natural Language Explanations for Multilabel Chest X-ray Classification
[USA]
arXiv:2603.18752v1 Announce Type: cross Abstract: Natural language explanations provide an inherently human-understandable way to explain black-box models, closely reflecting how radiologists convey ...
Related: #Explainable AI -
πΊπΈ Pathology-Aware Multi-View Contrastive Learning for Patient-Independent ECG Reconstruction
[USA]
arXiv:2603.17248v1 Announce Type: cross Abstract: Reconstructing a 12-lead electrocardiogram (ECG) from a reduced lead set is an ill-posed inverse problem due to anatomical variability. Standard deep...
Related: #ECG Analysis -
πΊπΈ Proactive Knowledge Inquiry in Doctor-Patient Dialogue: Stateful Extraction, Belief Updating, and Path-Aware Action Planning
[USA]
arXiv:2603.17425v1 Announce Type: new Abstract: Most automated electronic medical record (EMR) pipelines remain output-oriented: they transcribe, extract, and summarize after the consultation, but th...
Related: #Dialogue Systems -
πΊπΈ Differential Attention-Augmented BiomedCLIP with Asymmetric Focal Optimization for Imbalanced Multi-Label Video Capsule Endoscopy Classification
[USA]
arXiv:2603.17879v1 Announce Type: cross Abstract: This work presents a multi-label classification framework for video capsule endoscopy (VCE) that addresses the extreme class imbalance inherent in th...
Related: #Gastroenterology -
πΊπΈ PathGLS: Evaluating Pathology Vision-Language Models without Ground Truth through Multi-Dimensional Consistency
[USA]
arXiv:2603.16113v1 Announce Type: cross Abstract: Vision-Language Models (VLMs) offer significant potential in computational pathology by enabling interpretable image analysis, automated reporting, a...
Related: #AI Evaluation -
πΊπΈ Something from Nothing: Data Augmentation for Robust Severity Level Estimation of Dysarthric Speech
[USA]
arXiv:2603.15988v1 Announce Type: cross Abstract: Dysarthric speech quality assessment (DSQA) is critical for clinical diagnostics and inclusive speech technologies. However, subjective evaluation is...
Related: #Speech Analysis -
πΊπΈ Enhanced Atrial Fibrillation Prediction in ESUS Patients with Hypergraph-based Pre-training
[USA]
arXiv:2603.13297v1 Announce Type: cross Abstract: Atrial fibrillation (AF) is a major complication following embolic stroke of undetermined source (ESUS), elevating the risk of recurrent stroke and m...
Related: #Stroke Care -
πΊπΈ Agentic LLM Workflow for MR Spectroscopy Volume-of-Interest Placements in Brain Tumors
[USA]
arXiv:2603.13371v1 Announce Type: cross Abstract: Magnetic resonance spectroscopy (MRS) provides clinically valuable metabolic characterization of brain tumors, but its utility depends on accurate pl...
Related: #Neuroimaging -
πΊπΈ Patient-Level Multimodal Question Answering from Multi-Site Auscultation Recordings
[USA]
arXiv:2603.13362v1 Announce Type: cross Abstract: Auscultation is a vital diagnostic tool, yet its utility is often limited by subjective interpretation. While general-purpose Audio-Language Models (...
Related: #Diagnostic Technology -
πΊπΈ Comparative Analysis of Deep Learning Architectures for Multi-Disease Classification of Single-Label Chest X-rays
[USA]
arXiv:2603.13392v1 Announce Type: cross Abstract: Chest X-ray imaging remains the primary diagnostic tool for pulmonary and cardiac disorders worldwide, yet its accuracy is hampered by radiologist sh...
Related: #Deep Learning -
πΊπΈ UniPrompt-CL: Sustainable Continual Learning in Medical AI with Unified Prompt Pools
[USA]
arXiv:2508.10954v2 Announce Type: replace-cross Abstract: Modern AI models are typically trained on static datasets, limiting their ability to continuously adapt to rapidly evolving real-world enviro...
Related: #Continual Learning -
πΊπΈ Fair Lung Disease Diagnosis from Chest CT via Gender-Adversarial Attention Multiple Instance Learning
[USA]
arXiv:2603.12988v1 Announce Type: cross Abstract: We present a fairness-aware framework for multi-class lung disease diagnosis from chest CT volumes, developed for the Fair Disease Diagnosis Challeng...
Related: #Diagnostic Fairness -
πΊπΈ Prototype-Based Knowledge Guidance for Fine-Grained Structured Radiology Reporting
[USA]
arXiv:2603.11938v1 Announce Type: new Abstract: Structured radiology reporting promises faster, more consistent communication than free text, but automation remains difficult as models must make many...
Related: #Radiology Reporting -
πΊπΈ Automated Detection of Malignant Lesions in the Ovary Using Deep Learning Models and XAI
[USA]
arXiv:2603.11818v1 Announce Type: new Abstract: The unrestrained proliferation of cells that are malignant in nature is cancer. In recent times, medical professionals are constantly acquiring enhance...
Related: #Cancer Detection -
πΊπΈ MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models
[USA]
arXiv:2603.11625v1 Announce Type: cross Abstract: While specialized Medical Vision-Language Models (VLMs) have achieved remarkable success in interpreting 2D and 3D medical modalities, their deployme...
Related: #Efficiency Optimization -
πΊπΈ Joint Imaging-ROI Representation Learning via Cross-View Contrastive Alignment for Brain Disorder Classification
[USA]
arXiv:2603.10253v1 Announce Type: cross Abstract: Brain imaging classification is commonly approached from two perspectives: modeling the full image volume to capture global anatomical context, or co...
Related: #Neuroimaging -
πΊπΈ Quantifying Hallucinations in Language Language Models on Medical Textbooks
[USA]
arXiv:2603.09986v1 Announce Type: cross Abstract: Hallucinations, the tendency for large language models to provide responses with factually incorrect and unsupported claims, is a serious problem wit...
Related: #AI Reliability -
πΊπΈ A Guideline-Aware AI Agent for Zero-Shot Target Volume Auto-Delineation
[USA]
arXiv:2603.09448v1 Announce Type: cross Abstract: Delineating the clinical target volume (CTV) in radiotherapy involves complex margins constrained by tumor location and anatomical barriers. While de...
Related: #Radiotherapy -
πΊπΈ MIL-PF: Multiple Instance Learning on Precomputed Features for Mammography Classification
[USA]
arXiv:2603.09374v1 Announce Type: cross Abstract: Modern foundation models provide highly expressive visual representations, yet adapting them to high-resolution medical imaging remains challenging d...
Related: #Breast Cancer Detection -
πΊπΈ Composed Vision-Language Retrieval for Skin Cancer Case Search via Joint Alignment of Global and Local Representations
[USA]
arXiv:2603.09108v1 Announce Type: cross Abstract: Medical image retrieval aims to identify clinically relevant lesion cases to support diagnostic decision making, education, and quality control. In p...
Related: #Skin Cancer, #Image Retrieval -
πΊπΈ Meissa: Multi-modal Medical Agentic Intelligence
[USA]
arXiv:2603.09018v1 Announce Type: new Abstract: Multi-modal large language models (MM-LLMs) have shown strong performance in medical image understanding and clinical reasoning. Recent medical agent s...
Related: #Multi-modal Systems
Key Entities (11)
- Artificial intelligence (2 news)
- Co-Dependents Anonymous (1 news)
- Meissa (1 news)
- Brain tumor (1 news)
- Multiple instance learning (1 news)
- Mammography (1 news)
- Classification (1 news)
- Breast cancer (1 news)
- Transformer (1 news)
- CNN (1 news)
- Roi (1 news)
About the topic: Medical AI
The topic "Medical AI" aggregates 30+ news articles from various countries.