CPC G06N 3/084 (2013.01) [G06T 7/0014 (2013.01); G06T 7/70 (2017.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06V 20/36 (2022.01); G06V 20/52 (2022.01); G16H 10/60 (2018.01); G16H 40/20 (2018.01); G16H 50/20 (2018.01); G06T 2200/24 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30004 (2013.01); G06T 2207/30196 (2013.01); G06T 2207/30244 (2013.01)] | 20 Claims |
1. A method comprising:
receiving, from an image capture device of a medical treatment location, a sequence of images of a medical procedure during performance of the medical procedure, wherein the medical procedure is associated with at least a first procedural stage and a second procedural stage;
identifying a stakeholder associated the second procedural stage;
applying at least one trained machine learning model to one or more first images of the sequence of images to determine that the first procedural stage of the medical procedure is currently being performed in the medical treatment location;
after determining that the first procedural stage is being performed, applying the at least one trained machine learning model to one or more second images of the sequence of images to determine advancement of the medical procedure from the first procedural stage to the second procedural stage; and
responsive to determining the advancement of the medical procedure from the first procedural stage to the second procedural stage, transmitting, over a network, a notification to the stakeholder that is associated with performing one or more aspects of the second procedural stage.
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