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Smartphones have provided numerous tools for patients, which are extremely useful for extracting, transferring, and processing health information. Machine learning algorithms develop mobile applications for analyzing child facial diseases. These algorithms detect unique features such as the child’s jawline, eye, and nose placement to identify the craniofacial abnormalities.

Tracking health information is extended away from hospitals through wearable devices to maintain the fitness of the patients. Wearable devices are made up of internal sensors to measure and save health parameters. AI is used for extracting and analyzing the vast data from the devices and generates useful insights.