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Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study
Large multimodality model fine-tuned for detecting breast and esophageal carcinomas on CT: a preliminary study
This study aimed to develop a large multimodality model (LMM) that can detect breast and esophageal carcinomas on chest co...
Standardization and advancements efforts in breast diffusion-weighted imaging
Standardization and advancements efforts in breast diffusion-weighted imaging
Recent advancements in breast magnetic resonance imaging (MRI) have significantly enhanced breast cancer detection and cha...
Be familiar with benign pediatric head and neck lesions! Image interpretation guides to overcome your weakness
Be familiar with benign pediatric head and neck lesions! Image interpretation guides to overcome your weakness
Pediatric head and neck lesions include three main categories: congenital, inflammatory, and neoplastic. It is important f...
Evaluating the diagnostic value of 18F-FAPI-04 PET/CT in various malignant tumors: a head-to-head comparison with 18F-FDG PET/CT
Evaluating the diagnostic value of 18F-FAPI-04 PET/CT in various malignant tumors: a head-to-head comparison with 18F-FDG PET/CT
This study aims to evaluate the diagnostic efficacy of 18F-fibroblast activation protein inhibitor-04 (18F-FAPI-04) PET/CT...
Limited diagnostic performance of imaging evaluation for staging in gastric-type endocervical adenocarcinoma: a multi-center study
Limited diagnostic performance of imaging evaluation for staging in gastric-type endocervical adenocarcinoma: a multi-center study
The purposes of the study are to assess the diagnostic performance of preoperative imaging for staging factors in gastric-...
Structured clinical reasoning prompt enhances LLM’s diagnostic capabilities in diagnosis please quiz cases
Structured clinical reasoning prompt enhances LLM’s diagnostic capabilities in diagnosis please quiz cases
Large Language Models (LLMs) show promise in medical diagnosis, but their performance varies with prompting. Recent studie...
Influence of visceral adipose tissue on the accuracy of tumor T-staging of gastric cancer in preoperative CT
Influence of visceral adipose tissue on the accuracy of tumor T-staging of gastric cancer in preoperative CT
To evaluate the impact of the visceral adipose tissue (VAT) area and density on the accuracy of tumor T-staging of gastric...
Predictive value of pericoronary fat attenuation index for graft occlusion after coronary artery bypass grafting
Predictive value of pericoronary fat attenuation index for graft occlusion after coronary artery bypass grafting
Based on coronary computed tomography angiography (CCTA), this study aimed to evaluate the predictive value of pericoronar...
Predicting the O’Kelly-Marotta scale score after flow-diverter stent placement using silent MRA
Predicting the O’Kelly-Marotta scale score after flow-diverter stent placement using silent MRA
Flow-diverter (FD) stents were developed to treat aneurysms that are difficult to treat with conventional coiling or surge...
Multi-parametric MRI radiomics for predicting response to neoadjuvant therapy in patients with locally advanced rectal cancer
Multi-parametric MRI radiomics for predicting response to neoadjuvant therapy in patients with locally advanced rectal cancer
This study aims to evaluate the application value of multi-parametric magnetic resonance imaging (MRI) radiomics in predic...
Clinical changes in serum intercellular adhesion molecule 1 in cervical cancer patients receiving radiotherapy
Clinical changes in serum intercellular adhesion molecule 1 in cervical cancer patients receiving radiotherapy
The levels of soluble intracellular adhesion molecule-1 (sICAM-1) increased in cervical cancer patients and those patients...
Advancing clinical MRI exams with artificial intelligence: Japan’s contributions and future prospects
Advancing clinical MRI exams with artificial intelligence: Japan’s contributions and future prospects
In this narrative review, we review the applications of artificial intelligence (AI) into clinical magnetic resonance imag...
Comparative analysis of image quality and diagnostic performance among SS-EPI, MS-EPI, and rFOV DWI in bladder cancer
Comparative analysis of image quality and diagnostic performance among SS-EPI, MS-EPI, and rFOV DWI in bladder cancer
To compare image quality and diagnostic performance among SS-EPI diffusion weighted imaging (DWI), multi-shot (MS) EPI DWI...
Artificial intelligence in fracture detection on radiographs: a literature review
Artificial intelligence in fracture detection on radiographs: a literature review
Fractures are one of the most common reasons of admission to emergency department affecting individuals of all ages and re...
MRI characteristics of ovarian metastasis: differentiation from stomach and colorectal cancer
MRI characteristics of ovarian metastasis: differentiation from stomach and colorectal cancer
To evaluate the efficacy of MRI findings for differentiating between ovarian metastasis from stomach cancer (OMSC) and col...
High-precision MRI of liver and hepatic lesions on gadoxetic acid-enhanced hepatobiliary phase using a deep learning technique
High-precision MRI of liver and hepatic lesions on gadoxetic acid-enhanced hepatobiliary phase using a deep learning technique
The purpose of this study was to investigate whether the high-precision magnetic resonance (MR) sequence using modified Fa...
Usefulness of decision tree analysis of MRI features for diagnosis of placenta accreta spectrum in cases with placenta previa
Usefulness of decision tree analysis of MRI features for diagnosis of placenta accreta spectrum in cases with placenta previa
Placenta previa complicated by placenta accrete spectrum (PAS) is a life-threatening obstetrical condition; therefore, pre...
A decision tree for predicting the causative pathogens of community-acquired pneumonia from thin-section computed tomography
A decision tree for predicting the causative pathogens of community-acquired pneumonia from thin-section computed tomography
To determine whether decision trees are useful for predicting organisms that cause community-acquired pneumonia (CAP). We ...