A new artificial intelligence model comparable to ophthalmologists in the diagnosis of disease

A team of researchers at Chinese University in Hong Kong have unveiled the development of a new artificial intelligence model called VisionFM, which is characterized by the ability to diagnose eye diseases at a level of accuracy comparable to the performance of specialized doctors. In a recent study, published in the scientific magazine “NEJM AI”, it showed that the model is better than many medium -level doctors to specialize in the diagnosis of 12 eye diseases. She pointed out that the model also showed the ability to predict the development of ‘glaucoma’ disease (blue water), bypassing the performance of the previous RTFound model used in this field. Extensive medical applications open the VisionFM model new horizons for clinical applications thanks to its accuracy and the ability to predict a wide range of eye diseases, which increases its role in improving the accuracy of the medical diagnosis. The researchers explained that this model can be combined with additional data to support more medical applications. The development of this model falls within the framework of the increasing orientation of the investment of obstetric intelligence techniques in the health field, where the study emphasizes the ability of this technology to provide innovative solutions to improve medical care services. The Care Copilot model in a related context, the Cair Cairs Center in Hong Kong, attached to the Chinese Academy of Sciences, introduced a new model named Care Copilot. This model aims to support doctors in tasks such as planning operations and the preparation of diagnostic reports, and rely on the Llama 2 -open language model developed by Mita. This model has already been used in major hospitals such as First Sun Yat Sun University Hospital in Guanings and Amir Wales Hospital in Hong Kong. Artificial intelligence has been regarded as one of the most promising instruments in the field of medicine over the past few years, especially in the diagnosis of neurological diseases such as dementia and Alzheimer’s, and this has to do with many studies, one of which was published in Neuroscience in September. The retina imaging has become one of the instruments that can play an important role in the discovery of Alzheimer’s disease early, as studies are related to the changes that occur in the retina can be closely related, with those found in the brain, such as the accumulation of amyloid pages, which are one of the characteristic features of Alzheimer’s. Artificial intelligence -algorithms use retinal images -analysis to detect these microscopic changes that may indicate the risk of dementia, and this type of analysis can be a cheaper alternative, and easier compared to traditional brain scan, making it an effective tool for early investigation into the risk groups.