Only 7 percent of a message is based on the words it contains. The rest, 93 percent, comes from the speaker’s tone of voice, body language and facial expressions (1).

Imagine a visit to the doctor. You describe your situation and symptoms while the doctor looks and listens carefully. Imagine that this consultation is being recorded on video.

This video will then contain your speech (text, words) that can be automatically extracted as a transcript and analyzed. Your voice and its related characteristics like tone, volume or tremor can also be extracted and analyzed. Similarly, your movements including facial expressions, fidgeting, hand gestures, posture and physical distance can be analyzed.

Let’s consider the video constituents that can be analyzed separately:

· The text can be summarized with main symptoms extraction which then can be fed to an internal medical knowledge base (ontology) module through which diagnostics insights and related recommendations could be provided.

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