MDsquare's AI and healthcare contribution
MDsquare’s AI and healthcare contribution
Artificial Intelligence has brought a lot of transformation to the healthcare industry. Some of the revolutionary changes it brings to the medical include:
1. MONITORING HEALTH THROUGH WEARABLES AND PERSONAL DEVICES:
Most of our smart devices and wearables now have the ability to collect and record our day to day health data. Artificial Intelligence can be important in analyzing the big data generated by the devices and offer great insights to healthcare providers.
With MDSQUARE, the platform allows its subscribers to store their medical history by recording and storing their health information generated in their daily lives through personal health information management solutions like their wearables and smart devices. Through linkage with approved self-tracking health devices within the platform, it is possible to automatically update personal health information so that it can be managed efficiently and conveniently.
2.MAKING SMARTPHONE CAMERAS INTO POWERFUL DIAGNOSTIC TOOLS:
Images from smart cameras can be very useful for diagnostic purposes and other healthcare uses. Most of the devices nowadays have AI incorporated into their software and hardware and this makes it possible to provide more personalized and smarter healthcare services.
MDsquare’s remote video consultation solution features a medical-specialized communication feature that enables healthcare service providers including doctors and patients to meet, see, and communicate face-to-face online. They will not only be able to talk face to face, but also send medical records and receive medical services all while viewing the affected areas.
3. A.I Medical Chat Bot
If the user wants simple medical counseling or medical information rather than meeting with a doctor, interactive medical counseling with an artificial intelligence chatbot can be used to obtain the desired medical information. In practice, the medical institution builds the frequently generated question-response between the physician and the patient in each medical care field into structured data, and mounts this data in the machine learning enabled artificial intelligence of the machine.
The developed medical chatbot enables interactive medical counseling using text/voice so that patients can provide medical information in the form of text, images, videos, and online links.
Appropriate doctor/hospital recommendations and reservation functions can be provided based on the conversation and also based on the patient’s location. If the user wants more professional and in-depth medical advice even after interactive medical counseling with artificial intelligence medical chatbot, the chatbot can recommend an appropriate doctor to provide the telemedicine services.