Radiology

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

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Modifying the U-Net's Encoder-Decoder Architecture for Segmentation of Tumors in Breast Ultrasound Images.

Segmentation is one of the most significant steps in image processing. Segmenting an image is a tech...

Comparison of lumbar disc degeneration grading between deep learning model SpineNet and radiologist: a longitudinal study with a 14-year follow-up.

PURPOSE: To assess the agreement between lumbar disc degeneration (DD) grading by the convolutional ...

Automated high precision PCOS detection through a segment anything model on super resolution ultrasound ovary images.

PCOS (Poly-Cystic Ovary Syndrome) is a multifaceted disorder that often affects the ovarian morpholo...

Early detection of Alzheimer's disease progression stages using hybrid of CNN and transformer encoder models.

Alzheimer's disease (AD) is a neurodegenerative disorder that affects memory and cognitive functions...

Multi-centric AI Model for Unruptured Intracranial Aneurysm Detection and Volumetric Segmentation in 3D TOF-MRI.

The aim of this study was to develop an open-source nnU-Net-based AI model for combined detection an...

Benchmarking Radiology Report Generation From Noisy Free-Texts.

Automatic radiology report generation can enhance diagnostic efficiency and accuracy. However, clean...

Clinical Value of ChatGPT for Epilepsy Presurgical Decision-Making: Systematic Evaluation of Seizure Semiology Interpretation.

BACKGROUND: For patients with drug-resistant focal epilepsy, surgical resection of the epileptogenic...

AI-Integrated 3D imaging and modelling for hip morphology assessment in athletes.

Hip injuries are a prevalent concern among athletes, often resulting in significant declines in perf...

PSMA MRI Guided Prostate SABR ARGOS-CLIMBER Phase I/II Trial: A Primary Endpoint Analysis.

PURPOSE: The XXXXX trial is a multi-institutional phase I/II study utilizing a combined PSMA PET/MRI...

Comparison of Large Language Models' Performance on 600 Nuclear Medicine Technology Board Examination-Style Questions.

This study investigated the application of large language models (LLMs) with and without retrieval-a...

Cross-Institutional Evaluation of Large Language Models for Radiology Diagnosis Extraction: A Prompt-Engineering Perspective.

The rapid evolution of large language models (LLMs) offers promising opportunities for radiology rep...

Analysis of gray zone PSA and PSAD correlated with PIRADS v2.1 in the MRI-US fusion prostate biopsy era: a retrospective bi-centre study.

BACKGROUND: Multiple parameters including PSA, PSAD, and PIRADS v2.1 score, are being associated in ...

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