Evaluating the Effectiveness of advanced large language models in medical Knowledge: A Comparative study using Japanese national medical examination.

Unlabelled: Study aims and objectives. This study aims to evaluate the accuracy of medical knowledge in the most advanced LLMs (GPT-4o, GPT-4, Gemini 1.5 Pro, and Claude 3 Opus) as of 2024.

Association of Multiple Nonhypertrophic Cardiomyopathy-Related Genetic Variants and Outcomes in Patients With Hypertrophic Cardiomyopathy.

Background: Approximately 10% of hypertrophic cardiomyopathy (HCM) patients have left ventricular systolic dysfunction (end-stage HCM) leading to severe heart-failure; however, risk stratification to identify patients at risk of progressing to end-stage HCM remains insufficient.

Objectives: In this study, the authors sought to elucidate whether the coexistence of other cardiovascular disease (CVD)-related variants is associated with progression to end-stage HCM in patients with HCM harboring pathogenic or likely pathogenic (P/LP) sarcomeric variants.

Methods: The authors performed genetic analysis of 83 CVD-related genes in HCM patients from a Japanese multicenter cohort.

Early initiation of oral beta-blocker improves long-term survival in patients with acute myocardial infarction who underwent primary percutaneous coronary intervention.

Background: The optimal timing for the initiation of oral beta-blockers after acute myocardial infarction (MI) remains unclear within the context of current primary percutaneous coronary intervention (PCI) practice.

Methods: This retrospective cohort study included 412 consecutive patients admitted with a diagnosis of acute MI between January 2007 and August 2016 who underwent successful primary PCI and were given oral carvedilol during hospitalization. Early and late carvedilol groups were based on initiation within the first 24 h or after.

Bibliometric analysis and visualisation of research hotspots and frontiers on omics in osteosarcoma.

Background/objective: Omics technology has become a widely applied biological science that can be used to study the etiology, pathogenesis, and treatment of osteosarcoma(OS). Bibliometric analysis is still blank in this field.This study aimed to access the trends and hotspots of omics in OS research through the bibliometric analysis method.

Vaccine Therapy for Heart Failure Targeting the Inflammatory Cytokine Igfbp7.

Background: The heart comprises many types of cells such as cardiomyocytes, endothelial cells (ECs), fibroblasts, smooth muscle cells, pericytes, and blood cells. Every cell type responds to various stressors (eg, hemodynamic overload and ischemia) and changes its properties and interrelationships among cells. To date, heart failure research has focused mainly on cardiomyocytes; however, other types of cells and their cell-to-cell interactions might also be important in the pathogenesis of heart failure.

Patient with Gender Dysphoria Diagnosed with Multiple Sclerosis Following Takotsubo Cardiomyopathy and Ventricular Arrhythmia: A Case Report and Systematic Literature Review.

A 34-year-old transgender woman presented with ventricular tachycardia and was diagnosed with takotsubo cardiomyopathy. Further evaluation revealed an underlying diagnosis of multiple sclerosis (MS) with brainstem lesions that may have triggered takotsubo cardiomyopathy. In this report, we also systematically reviewed published cases of takotsubo cardiomyopathy and MS and found that basal type takotsubo cardiomyopathy was the most common, and most patients presented with brainstem involvement of MS.

A novel missense mutation (FGG c.1168G > T) in the gamma chain of fibrinogen causing congenital hypodysfibrinogenemia with bleeding phenotype.

Background: Fibrinogen plays pivotal roles in multiple biological processes. Genetic mutation of the fibrinogen coding genes can result in congenital fibrinogen disorders (CFDs). We identified a novel heterozygous missense mutation, FGG c.

Self-supervised tumor segmentation and prognosis prediction in osteosarcoma using multiparametric MRI and clinical characteristics.

Background And Objective: Osteosarcoma has a high mortality among malignant bone tumors. MRI-based tumor segmentation and prognosis prediction are helpful to assist doctors in detecting osteosarcoma, evaluating the patient's status, and improving patient survival. Current intelligent diagnostic approaches focus on segmentation with single-parameter MRI, which ignores the nature of MRI resulting in poor performance, and lacks the connection with prognosis prediction.

FOXO3-Activated circFGFBP1 Inhibits Extracellular Matrix Degradation and Nucleus Pulposus Cell Death via miR-9-5p/BMP2 Axis in Intervertebral Disc Degeneration In Vivo and In Vitro.

(1) Background: intervertebral disc degeneration (IVDD) defined as the degenerative changes in intervertebral disc is characterized by extracellular matrix (ECM) degradation and death in nucleus pulposus (NP) cells. (2) Methods: The model of IVDD was established in male Sprague Dawley rats using a puncture of a 21-gauge needle at the endplates located in the L4/5 intervertebral disc. Primary NP cells were stimulated by 10 ng/mL IL-1β for 24 h to mimic IVDD impairment in vitro.

Auxiliary Segmentation Method of Osteosarcoma MRI Image Based on Transformer and U-Net.

One of the most prevalent malignant bone tumors is osteosarcoma. The diagnosis and treatment cycle are long and the prognosis is poor. It takes a lot of time to manually identify osteosarcoma from osteosarcoma magnetic resonance imaging (MRI).

Polyvascular Disease and the Incidence of Cancer in Patients with Coronary Artery Disease.

Introduction: Based on the possible relation of atherosclerotic cardiovascular disease to the development of cancer, we examined whether polyvascular disease, as a surrogate marker of the severity of atherosclerosis, is associated with the incidence of cancer in patients with coronary artery disease (CAD).

Methods: A total of 8,856 patients with CAD between January 2009 and July 2014 were eligible for this observational study. Two cohorts were established based on the presence or absence of polyvascular disease (i.

Intelligent Assistant Diagnosis System of Osteosarcoma MRI Image Based on Transformer and Convolution in Developing Countries.

Osteosarcoma is a malignant bone tumor commonly found in adolescents or children, with high incidence and poor prognosis. Magnetic resonance imaging (MRI), which is the more common diagnostic method for osteosarcoma, has a very large number of output images with sparse valid data and may not be easily observed due to brightness and contrast problems, which in turn makes manual diagnosis of osteosarcoma MRI images difficult and increases the rate of misdiagnosis. Current image segmentation models for osteosarcoma mostly focus on convolution, whose segmentation performance is limited due to the neglect of global features.

An Artificial Intelligence Multiprocessing Scheme for the Diagnosis of Osteosarcoma MRI Images.

Osteosarcoma is the most common malignant osteosarcoma, and most developing countries face great challenges in the diagnosis due to the lack of medical resources. Magnetic resonance imaging (MRI) has always been an important tool for the detection of osteosarcoma, but it is a time-consuming and labor-intensive task for doctors to manually identify MRI images. It is highly subjective and prone to misdiagnosis.

Rethinking U-Net from an Attention Perspective with Transformers for Osteosarcoma MRI Image Segmentation.

Osteosarcoma is one of the most common primary malignancies of bone in the pediatric and adolescent populations. The morphology and size of osteosarcoma MRI images often show great variability and randomness with different patients. In developing countries, with large populations and lack of medical resources, it is difficult to effectively address the difficulties of early diagnosis of osteosarcoma with limited physician manpower alone.

Cost-effectiveness analysis of patent foramen ovale closure versus medical therapy alone after cryptogenic stroke.

Background: Closure of a patent foramen ovale reduces the risk of recurrent stroke compared with medical therapy alone in young patients with cryptogenic strokes revealed by randomized control trials. Some cost-effectiveness analyses outside Japan have shown that patent foramen ovale closure is cost-effective, but no studies have examined cost-effectiveness in Japan. The objective of this study is to assess cost-effectiveness, from the perspective of a Japanese healthcare payer, of patent foramen ovale closure versus medical therapy alone for patients with patent foramen ovale related to cryptogenic strokes.

Deep Active Learning Framework for Lymph Node Metastasis Prediction in Medical Support System.

Assessing the extent of cancer spread by histopathological analysis of sentinel axillary lymph nodes is an important part of breast cancer staging. With the maturity and prevalence of deep learning technology, building auxiliary medical systems can help to relieve the burden of pathologists and increase the diagnostic precision and accuracy during this process. However, such histopathological images have complex patterns that are difficult for ordinary people to understand and require professional medical practitioners to annotate.