AIMC Topic: Diagnosis, Computer-Assisted

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Role of artificial intelligence in gastric diseases.

World journal of gastroenterology Oct 7, 2025
The integration of artificial intelligence (AI) in gastroenterology has evolved from basic computer-aided detection to sophisticated multimodal frameworks that enable real-time clinical decision support. This study presents AI applications in gastric...
Humans Deep Learning Decision Support Systems, Clinical Stomach Diseases Artificial Intelligence Gastroenterology Diagnosis, Computer-Assisted
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Development of a deep learning-based automated diagnostic system (DLADS) for classifying mammographic lesions - a first large-scale multi-institutional clinical trial in Japan.

Breast cancer (Tokyo, Japan) Sep 1, 2025
BACKGROUND: Recently, western countries have built evidence on mammographic artificial Intelligence-computer-aided diagnosis (AI-CADx) systems; however, their effectiveness has not yet been sufficiently validated in Japanese women. In this study, we ...
Sensitivity and Specificity Mammography Diagnosis, Computer-Assisted Humans Breast Neoplasms Female Japan Retrospective Studies Deep Learning Middle Aged Aged Early Detection of Cancer Adult
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Early Detection of Acute Coronary Syndrome Using a Mobile Digital Health Application.

Studies in health technology and informatics Aug 7, 2025
Early detection of acute coronary syndrome (ACS) is vital for reducing ischemic time and preserving more heart muscle.Chest pain is the most common symptom of acute coronary syndrome (ACS). This study used a quick chest pain assessment questionnaire ...
Sensitivity and Specificity Male Middle Aged Diagnosis, Computer-Assisted Surveys and Questionnaires Mobile Applications Digital Health Female Humans Early Diagnosis Reproducibility of Results Machine Learning Chest Pain Telemedicine Acute Coronary Syndrome
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Exploring Machine Learning for Predicting Peripheral and Central Precocious Puberty Through Cross-Hospital Validation.

Studies in health technology and informatics Aug 7, 2025
Precocious puberty, including Peripheral Precocious Puberty (PPP) and Central Precocious Puberty (CPP), presents diagnostic challenges in pediatric endocrinology, leading to delayed interventions. This study utilized machine learning models-Random Fo...
Puberty, Precocious Electronic Health Records Female Reproducibility of Results Sensitivity and Specificity Diagnosis, Computer-Assisted Child Humans Machine Learning
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Time-Aware Tranformer-Based Prediction Model for AECOPD.

Studies in health technology and informatics Aug 7, 2025
The rapid symptom change of Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) makes it critical to have time-sensitive prediction models. However, most current machine learning models studying AECOPD use clinical and laboratory dat...
Diagnosis, Computer-Assisted Machine Learning Pulmonary Disease, Chronic Obstructive Disease Progression Humans
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Accuracy of Large Language Models in Generating Rare Disease Differential Diagnosis Using Key Clinical Features.

Studies in health technology and informatics Aug 7, 2025
Generating differential diagnoses for rare disease patients can be time intensive and highly dependent on the background and training of the evaluating physicians. Large language models (LLMs) have the potential to complement this process by automati...
Large Language Models Natural Language Processing Rare Diseases Humans Female Male Diagnosis, Computer-Assisted Diagnosis, Differential
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Predicting Diabetes Using Convolutional Neural Networks and EKG Entropy Analysis.

Studies in health technology and informatics Aug 7, 2025
Heart Rate Variability (HRV) is associated with diabetic complications. This analysis can quantify changes in heart rate variability, and it may help detect early alterations in diabetes. This study aimed to design and validate a Convolutional Neural...
Humans Neural Networks, Computer Diagnosis, Computer-Assisted Convolutional Neural Networks Electrocardiography Female Sensitivity and Specificity Male Entropy Diabetes Mellitus Heart Rate
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Using Machine Learning Techniques for Lung Cancer Survival Prediction.

Studies in health technology and informatics Aug 7, 2025
Lung cancer is one of the most common and lethal types of cancer. Early diagnosis and appropriate treatment play a crucial role in reducing mortality. Artificial intelligence techniques can be used to support clinical approaches to lung cancer, helpi...
Prognosis Female Survival Rate Diagnosis, Computer-Assisted Lung Neoplasms Humans Survival Analysis Machine Learning
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Enhancing Interpretability of Ocular Disease Diagnosis: A Zero-Shot Study of Multimodal Large Language Models.

Studies in health technology and informatics Aug 7, 2025
Visual foundation models have advanced ocular disease diagnosis, yet providing interpretable explanations remains challenging. We evaluate multimodal LLMs for generating explanations of ocular diagnoses, combining Vision Transformer-derived saliency ...
Eye Diseases Large Language Models Humans Diagnosis, Computer-Assisted Natural Language Processing
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LGF-Net: A multi-scale feature fusion network for thyroid nodule ultrasound image classification.

Journal of applied clinical medical physics Aug 1, 2025
BACKGROUND: Thyroid cancer is one of the most common cancers in clinical practice, and accurate classification of thyroid nodule ultrasound images is crucial for computer-aided diagnosis. Models based on a convolutional neural network (CNN) or a tran...
Humans Neural Networks, Computer Algorithms Thyroid Nodule Diagnosis, Computer-Assisted Image Processing, Computer-Assisted Thyroid Neoplasms Image Interpretation, Computer-Assisted Ultrasonography
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