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Diagnoses Disease clinical trials

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NCT ID: NCT03087682 Completed - Diagnoses Disease Clinical Trials

Pituitary Gland Enlargement Was First Diagnosed by Optical Coherence Tomography (OCT)

OCT
Start date: February 1, 2013
Phase: N/A
Study type: Observational

OCT is now an established way to measure the thickness of the Retinal Nerve Fiber Layer (RNFL) in the retina of the eye. The thickness of the RNFL is always a reflection of the number of the RNFs in any particular area of the retina. Each single RNF runs a long course starting from the cell body which is the retinal ganglion cell in the retina and ends in the thalamus of the brain where it relays visual information to other nerve cell in the thalamus. Along this long course RNFs are in close anatomical relationship with the pituitary gland crossing just above this gland about midway along their course. Hence enlargement of this gland can interfere with the RNFs.

NCT ID: NCT03080623 Completed - Clinical trials for Breast Cancer Female

Ultrasound-based Diagnostic Model for Differentiating Malignant Breast Lesion From Benign Lesion

Start date: September 8, 2018
Phase:
Study type: Observational

This study proposed to construct an ultrasound-based diagnostic model for Differentiating Malignant Breast Lesion From Benign Lesion. This study contains both retrospective and prospective part, which are designed for model construction and independent validation, respectively.This study aims to construct an easy-to-use ultrasound-based model, prove the efficacy of the model for identifying malignant breast lesion from benign lesion, and finally promote the application of this diagnostic model in more clinics.

NCT ID: NCT03073746 Completed - Diagnoses Disease Clinical Trials

Google Health Search Trial

GHST
Start date: September 7, 2016
Phase: N/A
Study type: Interventional

There are large differences in knowledge between patients and healthcare providers (i.e. physicians, physician assistants and nurse practitioners), and there is a strong interest on the part of both industry and academia to reduce the gap in knowledge between patients and healthcare providers. Currently, about 1 in 20 searches on Google are health related. Among internet users, 72% reported searching for health information, and among persons who use mobile phones, 31% of cell phone users and 52% of smartphone users have looked up health or medical information. Oftentimes, patients will search on Google or other search engines in order to find health conditions that explain their symptoms prior to visiting their healthcare provider. With the launch of Google's new health search tools for mobile devices (i.e. smartphones, tablets, etc.) it is important to understand how patients use these search platforms and what their effects are on clinical encounters. The main objective of this study is to understand the accuracy of differential diagnoses generated by Google searching; the investigators hypothesize that searching on Google using a tablet or mobile device will be more accurate than not using any search tool, and that the new health search experience will improve accuracy over the standard search platform.