View clinical trials related to Diagnosis.
Filter by:The purpose of this study is to determine the efficacy, safety, and cost-effectiveness of AI-Gatekeeper software to assist clinicians in the diagnosis of coronary artery disease by predicting coronary artery stenosis (≥50%) from a multimodal AI technology that integrates clinical risk factors and baseline blood tests, including chest X-ray, electrocardiogram, and echocardiogram, in patients with suspected coronary artery disease (coronary stenosis).
The goal of this observational study is to learn about in a total of approximately 2000 patients with cardiovascular disease recruited from about 25 participating sites in China with eGFR<60 ml/min/1.73 m2 and/or UACR>30 mg/g at least twice 3 months apart within the previous 12 months who had been hospitalized in the cardiology department within the previous 12 months. The main questions it aims to answer are: - To estimate the diagnosis rate of CKD in patients with cardiovascular disease and laboratory evidence of CKD - To describe the CKD awareness and treatment pattern in patients with cardiovascular disease and laboratory evidence of CKD. - To describe the socio-demographic and clinical characteristics of CKD in patients with cardiovascular disease and laboratory evidence of CKD Participants will be invited to undergo a baseline visit, and the demographics, lifestyle factors, clinical characteristics, and laboratory tests will be collected.
Anomalous aortic origin of a coronary artery (AAOCA) is a group of rare congenital heart defects with various clinical presentations. The lifetime-risk of an individual living with AAOCA is unknown, and data from multicentre registries are urgently needed to adapt current recommendations and guide optimal patient management. The European Registry for AAOCA (EURO-AAOCA) aims to assess differences with regard to AAOCA management between centres.
In this study, we will prospectively recruit 100,000 individuals, including gastric cancer patients who have not undergone any anti-tumor treatment and non-gastric cancer participants. We will construct a diagnostic model for malignant tumors based on the combination of tongue imaging, tongue coating, saliva, and fecal multi-omics data (including metagenomics, proteomics, metabolomics, etc.). Additionally, it will explore the relationship between oral and intestinal microbiota and the development of malignant tumors.
Periodontal diseases and dental pathologies are highly prevalent oral diseases. Thirty-three to fifty percent of adult population presented at least one untreated caries and more than 50% of French population are affected by severe periodontitis. These diseases affect dental organ or periodontal attached system but could have negative impact on general health, quality of life, word and individual well-being. Association between chronic diseases as diabetes, rheumatoid arthritis, cardiovascular diseases, and oral health have been well investigated. Dental and periodontal diagnosis is dependent of various clinical parameters time consuming and dependent operator. It represents a public health challenge. Informatic analysis detecting diseases could be a time gain and a more precise diagnosis tool. Today, any software or algorithm allow automatized detection, clinical qualitative or quantitative indices recording while these informations are present in numeric models
Asthma is characterised by episodic symptoms (attacks) caused by airway inflammation and decreased airflow to the lungs. It affects 10% of the Canadian population and is the most common chronic disease in childhood. Despite its burden and its potential to be life-threatening, establishing the diagnosis takes time due to difficulty in accessing specialised breathing tests. Indeed, the current diagnostic strategy relies on a breathing test (spirometry) and, if non-diagnostic, a subsequent more complicated breathing test conducted in hospitals (a bronchial provocation test). Our dependence on the latter test must be confronted to the bottleneck created by our reliance on it and the difficulty to do these tests in children. Furthermore, within the current framework, people receiving a diagnosis do not know if they have active airway inflammation - a key feature with predicts increased susceptibility to asthma attacks and treatment responsiveness. Our study's goal is to validate clinically accessible and useful diagnostic tests for peoplesuspected to have asthma. Specifically, we are interested in alternative tests that are a) achievable outside the hospital; b) useful markers of airway inflammation/risk c) can identify people at with a higher likelihood of responding to anti-inflammatory therapy. The two tests we are mainly interested in are: - Exhaled nitric oxide (measured with a portable handheld machine) - The blood eosinophil count (obtained on a general blood test) +/- Other tests which we might be able to develop within this cohort (e.g. urine tests)
This study aims to collect serum samples from healthy non-pregnant women, pregnant women with and without Gestational Diabetes Mellitus (GDM). We will analyze the metabolite changes among the three groups using clinical metabolomics and identify potential biomarkers and metabolic pathways. This study will provide scientific evidence for early clinical diagnosis, prevention, control, and treatment research of GDM.
Echinococcosis is a severe parasitosis caused by the development of the tapeworm larva Echinococcus multilocularis, responsible for alveolar echinococcosis (AE) or Echinococcus granulosus, responsible for cystic echinococcosis (CE). The treatment is based on surgery (only possible in 30 to 40% of cases) and/or on a benzimidazole antiparasitic treatment, especially albendazole. Albendazole is only parasitostatic, it slows down the development of the parasite but does not kill it. It is often prescribed for life. Monitoring the effectiveness of the treatment is therefore necessary, requiring radiological and serological monitoring once or twice a year. Being a chronic disease whose treatment is not always curative, patients quality of life is impacted, with a high level of anxiety described in some patients. The diagnosis, evoked on radiological arguments, is then confirmed by serological techniques, whose sensitivity for EA diagnosis is good (95%) in the absence of immunosuppression (now observed in 25% of EA patients). Sensitivity is lower for CE diagnosis (70% or even less than 50% in certain clinical forms). Quantitative real-time PCR (QPCR) techniques on blood samples are now used in many infectious pathologies to quantify the circulating DNA load, and improve diagnosis and therapeutic monitoring. The presence of circulating parasitic DNA has been reported in both types of echinococcosis. A new Echinococcus spp.multiplex QPCR technique (QPCR-Echino) allowing the detection of DNA from E. multilocularis and different species of the E. granulosus complex of European occurrence, in different types of biological samples, has recently been developed in the French National Reference Center for Echinococcosis laboratory. The investigators wish to evaluate QPCR-Echino for the detection of DNA in tissues, as well as in blood, for the diagnosis of Echinococcosis. This technique could improve the sensitivity of biological diagnosis, especially in immunocompromised patients, who often experience significant diagnostic delays, and could also provide information on the virulence and viability of the strains involved.
This study aims to assess the diagnostic performance of a new fast MRI sequence named Neuromix compared to routine clinical MRI for brain tumor in pediatric patients
This study is testing a way to diagnose endometriosis using a uterine tissue biopsy (similar to a pap smear) as opposed to undergoing laparoscopy surgery. The tissue is sent to lab for cellular analysis with a proprietary AI (artificial intelligence) technology.