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Research Paper#Medical Imaging, AI, XAI, Ultrasound Diagnosis🔬 ResearchAnalyzed: Jan 3, 2026 19:19

AI-Powered Gallbladder Ultrasound Diagnosis Platform

Published:Dec 28, 2025 18:21
1 min read
ArXiv

Analysis

This paper presents a practical application of AI in medical imaging, specifically for gallbladder disease diagnosis. The use of a lightweight model (MobResTaNet) and XAI visualizations is significant, as it addresses the need for both accuracy and interpretability in clinical settings. The web and mobile deployment enhances accessibility, making it a potentially valuable tool for point-of-care diagnostics. The high accuracy (up to 99.85%) with a small parameter count (2.24M) is also noteworthy, suggesting efficiency and potential for wider adoption.
Reference

“The system delivers interpretable, real-time predictions via Explainable AI (XAI) visualizations, supporting transparent clinical decision-making.”

PermalinkArXiv
Research#llm🔬 ResearchAnalyzed: Jan 4, 2026 09:31

Learning Model Parameter Dynamics in a Combination Therapy for Bladder Cancer from Sparse Biological Data

Published:Dec 17, 2025 18:55
1 min read
ArXiv

Analysis

The article focuses on a research paper published on ArXiv. The core of the research involves using machine learning to analyze sparse biological data related to a combination therapy for bladder cancer. The goal is to understand and model the dynamics of model parameters. The use of 'sparse biological data' suggests a challenge in data availability and the application of machine learning to overcome this limitation is noteworthy. The research falls under the category of medical research and AI.
Reference

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PermalinkArXiv