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Digital medical platform
Description
The system that AI analyzes medical data, aimed to assist medical staff in decision-making. It provides remote consultations with specialists and automatic analyzation of images with AI to detect any health abnormalities.Problem
The issue of modern medicine today is very relevant. Among the main problems, accessibility to quality medical care in remote areas and small towns is highlighted. The need for long trips and additional expenses significantly complicates the lives of sick people. The insufficient amount of quality diagnostic equipment in each hospital hinders accurate diagnoses and the prescription of appropriate treatment. The lack of sufficient doctors and staff is also a problem, with a heavy workload on existing specialists and the periodic need for doctor rotation, which does not always allow for quality treatment for all patients. The lack of data exchange and consultations with specialists makes it difficult to prescribe quality treatment and leads to inefficient use of doctors and hospital resources. Therefore, it is important to pay attention to these issues and work on their solution to improve medical care around the world.Solution
The system collects and analyzes data from various diagnostic equipment, including information from medical images that pass through artificial intelligence modules. Thanks to this, the system can provide additional assistance to medical personnel in decision-making. For example, thanks to remote consultations of qualified specialists, which is especially important in regions where there is a shortage of qualified medical personnel. In addition, the system automatically analyzes images using artificial intelligence technologies, which allows detecting even the smallest deviations in the patient's health and providing more accurate diagnosis. As a result, the system provides higher quality medical services and increases patients' trust in the medical industry as a whole.Description
The system that AI analyzes medical data, aimed to assist medical staff in decision-making. It provides remote consultations with specialists and automatic analyzation of images with AI to detect any health abnormalities.Problem
The issue of modern medicine today is very relevant. Among the main problems, accessibility to quality medical care in remote areas and small towns is highlighted. The need for long trips and additional expenses significantly complicates the lives of sick people. The insufficient amount of quality diagnostic equipment in each hospital hinders accurate diagnoses and the prescription of appropriate treatment. The lack of sufficient doctors and staff is also a problem, with a heavy workload on existing specialists and the periodic need for doctor rotation, which does not always allow for quality treatment for all patients. The lack of data exchange and consultations with specialists makes it difficult to prescribe quality treatment and leads to inefficient use of doctors and hospital resources. Therefore, it is important to pay attention to these issues and work on their solution to improve medical care around the world.Solution
The system collects and analyzes data from various diagnostic equipment, including information from medical images that pass through artificial intelligence modules. Thanks to this, the system can provide additional assistance to medical personnel in decision-making. For example, thanks to remote consultations of qualified specialists, which is especially important in regions where there is a shortage of qualified medical personnel. In addition, the system automatically analyzes images using artificial intelligence technologies, which allows detecting even the smallest deviations in the patient's health and providing more accurate diagnosis. As a result, the system provides higher quality medical services and increases patients' trust in the medical industry as a whole.
Financial Model
Time to launch the project: 6 months
Payback: 12 months
Interested in the project?
Geography
We have experience in working with clients in more than 20 countries: we understand how local legislation, mentality and experience influence technologies and innovation approaches
Our representations: Bahrain, China, Finland, Germany, Hong Kong, India, Indonesia, Italy, Kazakhstan, Malaysia, Singapore, South Korea, Switzerland, Thailand, Turkey, UAE, USA, Uzbekistan, Vietnam
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