Universidad del Magdalena » Vicerrectoría de Extensión
Página PrincipalInicio  |  DocumentosDocumentos  |  Mapa del SitioMapa del Sitio  |  ContáctenosContáctenos  |  Preguntas FrecuentesPreguntas Frecuentes
Vicerrectoría de Extensión
Quiénes Somos
Noti-Eventos
Proyectos
Modalidades de Extensión
Gestión de la Calidad
formato
Encuesta
Omitir vínculos de navegaciónUniversidad del Magdalena » Vicerrectoría de Extensión

Contactenos: ignaciobegay

Nuevo elementoNuevo elemento

Nombres y Apellidos

ignaciobegay 

E-mail

tevopat826@brandoza.com 

Ciudad/País

california 

Asunto

ignaciobegay 

Mensaje

Artificial Intelligence (AI) is becoming increasingly important in the field of spine reporting. The technology is being used to improve the accuracy and efficiency of diagnostic imaging, ultimately leading to better patient outcomes. One of the key ways in which AI is impacting spine reporting is through the use of deep learning algorithms. These algorithms are able to analyze medical images and make predictions about a patient's condition with a high degree of accuracy. In many cases, these predictions are more accurate than those made by human radiologists. One example of this is the use of AI in spinal MRI. AI algorithms can automatically detect and classify different types of lesions, reducing the amount of time radiologists need to spend reviewing images. Additionally, AI can be used to identify the most relevant images for radiologists to review, reducing the time and effort required to make a diagnosis. This can help radiologists to focus on the most important aspects of their job, such as interpreting images and making diagnoses. AI is also being used to improve the efficiency of the diagnostic process. For example, it can be used to automatically generate reports for spinal MRI, which can be used to provide a more accurate diagnosis and guide treatment decisions. This can save time for radiologists and also improve patient outcomes by providing a faster diagnosis. Another area where AI is having an impact is in the development of new imaging techniques. AI can be used to optimize the parameters of these techniques, resulting in higher-quality images and improved diagnostic accuracy. This can help the radiologist to detect even small lesions and provide an accurate diagnosis. In conclusion, AI is playing a key role in the field of spine reporting. It is improving the accuracy and efficiency of diagnostic imaging, ultimately leading to better patient outcomes. As the technology continues to develop, we can expect to see an even greater impact on spine reporting in the future. Various players in the industry have already started working on automating the Spine reporting process. Synapsica, a health tech company has already built 2 different algorithms to read, analyze and report Spine X-rays and MRI. Know more about the same here: https://synapsica.com/. https://synapsica.com/spindle/
Datos adjuntos
Creado el 27/01/2023 3:09  por  
Última modificación realizada el 27/01/2023 3:09  por  
Universidad del Magdalena
Sistema COGUI