Smart X-Ray interpreter for predicting epoch of healthcare using machine learning
| Autor: | Shaik Shakeer Basha, Syed Khasim |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International journal of health sciences. :9284-9292 |
| ISSN: | 2550-696X 2550-6978 |
| Popis: | This paper provides a complete overview of our work in providing a well-designed and accurate X ray scanner accessible to everyone and features applications that include radiology research and sharp X Rays. The use of Artificial intelligence (AI) has been rapidly advancing in medicine, especially in radiology. Artificial intelligence has in addition been a source of amazing development and alarming research in recent years. In addition to the risks and problems of quality assurance related to Artificial intelligence (AI), it offers large open doors to change the way radio sensible management is delivered. In addition, it is possible that AI could become a strong, persistent companion of a radiologist, in addition to being an important tool for preparing radiologist students. This model explores and validates the opportunity to innovate in providing the essential X Ray Scanner. |
| Databáze: | OpenAIRE |
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