Abstract: One example method for detecting events during a surgery includes receiving surgical video of a surgery comprising a plurality of video frames; identifying, by a first trained machine-learning (“ML”) model, an event during a surgical procedure based on the surgical video; determining, by the first trained ML model, a subset of the plurality of video frames, the subset of the plurality of video frames corresponding to the event; determining, by a second trained ML model, a characteristic of the event based on the subset of the plurality of video frames; and generating metadata corresponding to event based on the characteristic of the event.

Abstract: A computer system may enable an end-to-end platform for evaluating digital pathology information. An example process that uses the platform may include receiving first image data corresponding to a tissue sample. The process may also include generating second image data from the first image data by applying at least one virtual stain to the first image data, where at least one virtual stain is selected based on a target clinical diagnosis. The process may also include generating, by a predictive modeling suite, third image data from the second image data by identifying a plurality of histologic features present in the second image data in accordance with the target clinical diagnosis. The process may also include generating, by the predictive modeling suite and using the third image data, a clinical prediction relating to the target clinical diagnosis. The process may also include providing information associated with the clinical prediction for presentation.

Abstract: An aspect of the present disclosure provides a system comprising a sensing device comprising a housing and at least one sensor in sensing communication with an outer environment of the housing. The at least one sensor can be configured to detect a user radiation signal that is reflected or emitted by at least a portion of a body of the subject. The system can further comprise a reference device comprising at least one radiation source configured to output a reference radiation signal. The user radiation signal and the reference radiation signal can be analyzed to determine a physiological feature of the subject.

Abstract: One example method for detecting events during a surgery includes receiving surgical video of a surgery comprising a plurality of video frames; identifying, by a first trained machine-learning (“ML”) model, an event during a surgical procedure based on the surgical video; determining, by the first trained ML model, a subset of the plurality of video frames, the subset of the plurality of video frames corresponding to the event; determining, by a second trained ML model, a characteristic of the event based on the subset of the plurality of video frames; and generating metadata corresponding to event based on the characteristic of the event.