#Medical AI
Latest news articles tagged with "Medical AI". Follow the timeline of events, related topics, and entities.
Articles (14)
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🇺🇸 CXReasonAgent: Evidence-Grounded Diagnostic Reasoning Agent for Chest X-rays
[USA]
arXiv:2602.23276v1 Announce Type: new Abstract: Chest X-ray plays a central role in thoracic diagnosis, and its interpretation inherently requires multi-step, evidence-grounded reasoning. However, la...
Related: #Diagnostic reasoning, #Evidence-based medicine -
🇺🇸 Integrating Machine Learning Ensembles and Large Language Models for Heart Disease Prediction Using Voting Fusion
[USA]
arXiv:2602.22280v1 Announce Type: cross Abstract: Cardiovascular disease is the primary cause of death globally, necessitating early identification, precise risk classification, and dependable decisi...
Related: #Machine Learning, #Healthcare Technology -
🇺🇸 Modeling Expert AI Diagnostic Alignment via Immutable Inference Snapshots
[USA]
arXiv:2602.22973v1 Announce Type: new Abstract: Human-in-the-loop validation is essential in safety-critical clinical AI, yet the transition between initial model inference and expert correction is r...
Related: #Diagnostic Validation, #Human-AI Collaboration, #Clinical Decision Support -
🇺🇸 Enhancing Renal Tumor Malignancy Prediction: Deep Learning with Automatic 3D CT Organ Focused Attention
[USA]
arXiv:2602.22381v1 Announce Type: cross Abstract: Accurate prediction of malignancy in renal tumors is crucial for informing clinical decisions and optimizing treatment strategies. However, existing ...
Related: #Deep Learning, #Medical Imaging, #Cancer Diagnosis -
🇺🇸 Importance of Prompt Optimisation for Error Detection in Medical Notes Using Language Models
[USA]
arXiv:2602.22483v1 Announce Type: cross Abstract: Errors in medical text can cause delays or even result in incorrect treatment for patients. Recently, language models have shown promise in their abi...
Related: #Language Model Optimization, #Healthcare Technology -
🇺🇸 DisQ-HNet: A Disentangled Quantized Half-UNet for Interpretable Multimodal Image Synthesis Applications to Tau-PET Synthesis from T1 and FLAIR MRI
[USA]
arXiv:2602.22545v1 Announce Type: cross Abstract: Tau positron emission tomography (tau-PET) provides an in vivo marker of Alzheimer's disease pathology, but cost and limited availability motivate MR...
Related: #Alzheimer's research, #Medical imaging -
🇺🇸 Interpretable Medical Image Classification using Prototype Learning and Privileged Information
[USA]
arXiv:2310.15741v1 Announce Type: cross Abstract: Interpretability is often an essential requirement in medical imaging. Advanced deep learning methods are required to address this need for explainab...
Related: #Explainable AI, #Computer Vision -
🇺🇸 Shape-informed cardiac mechanics surrogates in data-scarce regimes via geometric encoding and generative augmentation
[USA]
arXiv:2602.20306v1 Announce Type: cross Abstract: High-fidelity computational models of cardiac mechanics provide mechanistic insight into the heart function but are computationally prohibitive for r...
Related: #Computational modeling, #Data augmentation -
🇺🇸 XMorph: Explainable Brain Tumor Analysis Via LLM-Assisted Hybrid Deep Intelligence
[USA]
arXiv:2602.21178v1 Announce Type: cross Abstract: Deep learning has significantly advanced automated brain tumor diagnosis, yet clinical adoption remains limited by interpretability and computational...
Related: #Explainable AI, #Brain tumor diagnosis, #Computational efficiency -
🇺🇸 m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models
[USA]
arXiv:2504.00869v2 Announce Type: replace-cross Abstract: Test-time scaling has emerged as a powerful technique for enhancing the reasoning capabilities of large language models. However, its effecti...
Related: #Large Language Models, #Test‑time Scaling, #Reasoning, #Clinical Decision Support -
🇺🇸 Hybrid Federated and Split Learning for Privacy Preserving Clinical Prediction and Treatment Optimization
[USA]
arXiv:2602.15304v1 Announce Type: cross Abstract: Collaborative clinical decision support is often constrained by governance and privacy rules that prevent pooling patient-level records across instit...
Related: #Data Privacy, #Collaborative Machine Learning, #Federated Learning, #Split Learning -
🇺🇸 Free Lunch in Medical Image Foundation Model Pre-training via Randomized Synthesis and Disentanglement
[USA]
arXiv:2602.12317v1 Announce Type: cross Abstract: Medical image foundation models (MIFMs) have demonstrated remarkable potential for a wide range of clinical tasks, yet their development is constrain...
Related: #Data Synthesis, #Medical Imaging -
🇺🇸 MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs
[USA]
arXiv:2602.12705v1 Announce Type: cross Abstract: We present MedXIAOHE, a medical vision-language foundation model designed to advance general-purpose medical understanding and reasoning in real-worl...
Related: #Multimodal Learning, #Healthcare Technology -
🇺🇸 TRACE: Temporal Reasoning via Agentic Context Evolution for Streaming Electronic Health Records (EHRs)
[USA]
arXiv:2602.12833v1 Announce Type: cross Abstract: Large Language Models (LLMs) encode extensive medical knowledge but struggle to apply it reliably to longitudinal patient trajectories, where evolvin...
Related: #Temporal Reasoning, #Electronic Health Records, #Large Language Models