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Studierfenster (StudierFenster) is a free, non-commercial Open Science client/server-based Medical Imaging Processing (MIP) online framework. [52] Medical open network for AI is a framework for Deep learning in healthcare imaging that is open-source available under the Apache Licence and supported by the community. [53]
The following diagnostic systems and rating scales are used in psychiatry and clinical psychology. This list is by no means exhaustive or complete. This list is by no means exhaustive or complete. For instance, in the category of depression, there are over two dozen depression rating scales that have been developed in the past eighty years.
Computer-aided auscultation is designed to assist health care professionals who perform auscultation as part of their diagnostic process. Commercial CAA products are usually classified as clinical decision support systems that support medical professionals in making a diagnosis.
Scores correlate with the Beck Anxiety Inventory (r= .72) and the anxiety subscale of the SCL-90 (r=.74). [2] Discriminative validity Too excellent AUC for detecting generalized anxiety disorder was .91, for panic disorder AUC= .85 for panic disorder, AUC=.83 for social anxiety disorder, and AUC=.83 for PTSD. [2] Validity generalization Good
The Generalized Anxiety Disorder 7-item scale (GAD-7) is a widely used self-administered diagnostic tool designed to screen for and assess the severity of generalized anxiety disorder (GAD). [1] Comprising seven items, the GAD-7 measures the frequency of anxiety symptoms over the past two weeks, with respondents rating each item on a scale from ...
Using a cut-off of 8 the GAD-7 has a sensitivity of 92% and specificity of 76% for diagnosis generalized anxiety disorder. The following cut-offs correlate with level of anxiety severity: Score 0-4: Minimal Anxiety; Score 5-9: Mild Anxiety; Score 10-14: Moderate Anxiety; Score greater than 15: Severe Anxiety
Artificial intelligence in healthcare is the application of artificial intelligence (AI) to analyze and understand complex medical and healthcare data. In some cases, it can exceed or augment human capabilities by providing better or faster ways to diagnose, treat, or prevent disease.
A number of researchers have explored HADS data to establish the cut-off points for caseness of anxiety or depression. Bjelland et al (2002) [3] through a literature review of a large number of studies identified a cut-off point of 8/21 for anxiety or depression. For anxiety (HADS-A) this gave a specificity of 0.78 and a sensitivity of 0.9.