Transplantation

Latest AI and machine learning research in transplantation for healthcare professionals.

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Towards Universal Text-driven CT Image Segmentation

Computed tomography (CT) is extensively used for accurate visualization and segmentation of organs...

Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation

Foundational models such as the Segment Anything Model (SAM) are gaining traction in medical imagi...

Dynamic Pricing for On-Demand DNN Inference in the Edge-AI Market

The convergence of edge computing and AI gives rise to Edge-AI, which enables the deployment of re...

SurgiSAM2: Fine-tuning a foundational model for surgical video anatomy segmentation and detection

Background: We evaluate SAM 2 for surgical scene understanding by examining its semantic segmentat...

Self is the Best Learner: CT-free Ultra-Low-Dose PET Organ Segmentation via Collaborating Denoising and Segmentation Learning

Organ segmentation in Positron Emission Tomography (PET) plays a vital role in cancer quantificati...

SPIDER: A Comprehensive Multi-Organ Supervised Pathology Dataset and Baseline Models

Advancing AI in computational pathology requires large, high-quality, and diverse datasets, yet ex...

Teaching Metric Distance to Autoregressive Multimodal Foundational Models

As large language models expand beyond natural language to domains such as mathematics, multimodal...

MUTATE: a human genetic atlas of multiorgan artificial intelligence endophenotypes using genome-wide association summary statistics.

Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide inter...

Mar 2025 40135505
Evaluating Stenosis Detection with Grounding DINO, YOLO, and DINO-DETR

Detecting stenosis in coronary angiography is vital for diagnosing and managing cardiovascular dis...

Exo-ViHa: A Cross-Platform Exoskeleton System with Visual and Haptic Feedback for Efficient Dexterous Skill Learning

Imitation learning has emerged as a powerful paradigm for robot skills learning. However, traditio...

Applying Artificial Intelligence to Quantify Body Composition on Abdominal CTs and Better Predict Kidney Transplantation Wait-List Mortality.

BACKGROUND: Prekidney transplant evaluation routinely includes abdominal CT for presurgical vascular...

Mar 2025 40044312
Hybrid Retrieval for Hallucination Mitigation in Large Language Models: A Comparative Analysis

Large Language Models (LLMs) excel in language comprehension and generation but are prone to hallu...

EXACT-CT: EXplainable Analysis for Crohn's and Tuberculosis using CT

Crohn's disease and intestinal tuberculosis share many overlapping features such as clinical, radi...

DiffBrush:Just Painting the Art by Your Hands

The rapid development of image generation and editing algorithms in recent years has enabled ordin...

LimeSoDa: A Dataset Collection for Benchmarking of Machine Learning Regressors in Digital Soil Mapping

Digital soil mapping (DSM) relies on a broad pool of statistical methods, yet determining the opti...

LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers

Retrieval-Augmented Generation (RAG) is a crucial method for mitigating hallucinations in Large La...

Flexible Counterfactual Explanations with Generative Models

Counterfactual explanations provide actionable insights to achieve desired outcomes by suggesting ...

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