AI Medical Compendium Journal:
Journal of imaging informatics in medicine

Showing 1 to 10 of 183 articles

SSL-DA: Semi-and Self-Supervised Learning with Dual Attention for Echocardiogram Segmentation.

Journal of imaging informatics in medicine
Echocardiogram analysis plays a crucial role in assessing and diagnosing cardiac function, providing essential data to support medical diagnoses of heart disease. A key task, accurately identifying and segmenting the left ventricle (LV) in echocardio...

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

Journal of imaging informatics in medicine
The aim of this study was to develop an open-source nnU-Net-based AI model for combined detection and segmentation of unruptured intracranial aneurysms (UICA) in 3D TOF-MRI and compare models trained on datasets with aneurysm-like differential diagno...

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

Journal of imaging informatics in medicine
The rapid evolution of large language models (LLMs) offers promising opportunities for radiology report annotation, aiding in determining the presence of specific findings. This study evaluates the effectiveness of a human-optimized prompt in labelin...

A Deep Learning Approach for Mandibular Condyle Segmentation on Ultrasonography.

Journal of imaging informatics in medicine
Deep learning techniques have demonstrated potential in various fields, including segmentation, and have recently been applied to medical image processing. This study aims to develop and evaluate computer-based diagnostic software designed to assess ...

From Image to Diagnosis: Convolutional Neural Networks in Tongue Lesions.

Journal of imaging informatics in medicine
Clinical examination of the tongue is essential for diagnosing systemic and local diseases. However, traditional diagnostic methods rely on subjective evaluation. Artificial intelligence, particularly convolutional neural networks, has shown promise ...

A Deep Learning-Based Approach to Detect Lamina Dura Loss on Periapical Radiographs.

Journal of imaging informatics in medicine
This study aimed to develop a custom artificial intelligence (AI) model for detecting lamina dura (LD) loss around the roots of anterior and posterior teeth on intraoral periapical radiographs. A total of 701 periapical radiographs of the anterior an...

A Multi-model Deep Learning Architecture for Diagnosing Multi-class Skin Diseases.

Journal of imaging informatics in medicine
Skin diseases are a significant global public health concern, affecting 21-85% of the world's population, particularly those in low- and middle-income countries. Accurate and timely diagnosis is crucial for effective treatment and improved patient ou...

Applying Deep-Learning Algorithm Interpreting Kidney, Ureter, and Bladder (KUB) X-Rays to Detect Colon Cancer.

Journal of imaging informatics in medicine
Early screening is crucial in reducing the mortality of colorectal cancer (CRC). Current screening methods, including fecal occult blood tests (FOBT) and colonoscopy, are primarily limited by low patient compliance and the invasive nature of the proc...

SDS-Net: A Synchronized Dual-Stage Network for Predicting Patients Within 4.5-h Thrombolytic Treatment Window Using MRI.

Journal of imaging informatics in medicine
Timely and precise identification of acute ischemic stroke (AIS) within 4.5 h is imperative for effective treatment decision-making. This study aims to construct a novel network that utilizes limited datasets to recognize AIS patients within this cri...

Comparative Bladder Cancer Tissues Prediction Using Vision Transformer.

Journal of imaging informatics in medicine
Bladder cancer, often asymptomatic in the early stages, is a type of cancer where early detection is crucial. Herein, endoscopic images are meticulously evaluated by experts, and sometimes even by different disciplines, to identify tissue types. It i...