Anomaly detection in a network based on a key performance indicator prediction model

A network monitoring platform may obtain a measurement of a particular value of a key performance indicator (KPI) and one or more parameters of the particular value of the KPI. The network monitoring platform may determine a prediction of the particular value of the KPI. The network monitoring platform may determine an amount of error in the prediction of the particular value of the KPI, wherein the amount of error in the prediction of the particular value of the KPI is based on a difference between the prediction of the particular value of the KPI and the measurement of the particular value of the KPI. The network monitoring platform may perform, based on the amount of error in the prediction of the particular value of the KPI, one or more actions.

Method of using imaging devices in surgery

A method for generating and updating a three-dimensional representation of a surgical site based on imaging data from an imaging system is disclosed. The method comprises the steps of generating a first image of the surgical site based on structured electromagnetic radiation emitted from the imaging system, receiving a second image of the surgical site, aligning the first image and the second image, generating a three-dimensional representation of the surgical site based on the first image and the second image as aligned, displaying the three-dimensional representation on a display screen, receiving a user selection to manipulate the three-dimensional representation, and updating the three-dimensional representation as displayed on the display screen from a first state to a second state according to the received user selection.

SURGICAL INSTRUMENT COMPRISING A FLEX CIRCUIT

A surgical instrument comprising a flexible circuit is disclosed.

Surgical instrument comprising an adjustment system

A surgical instrument comprising an adjustment system is disclosed.

Surgical instrument comprising a feedback control circuit

A surgical instrument comprising a shaft, an end effector, a drive component positioned with the shaft, and a surgical control circuit comprising a motor control program configured to run a motor configured to drive the drive component is disclosed. The control circuit is configured to receive a first measurement of a parameter of the motor, receive a second measurement of a parameter of the drive component, compare the first measurement and the second measurement, determine an actual relationship of the first measurement and the second measurement based on the comparison, compare the actual relationship to an expected relationship, and adjust the motor control program based on the comparison of the actual relationship and the expected relationship to align the actual relationship with the expected relationship.

DETECTION AND ESCALATION OF SECURITY RESPONSES OF SURGICAL INSTRUMENTS TO INCREASING SEVERITY THREATS

A surgical instrument for use with a surgical hub in a surgical procedure is disclosed. The surgical instrument includes a surgical end effector, a communication module configured to wirelessly pair the surgical instrument to the surgical hub, and a control circuit. The control circuit is configured to detect a first security violation, cause the surgical instrument to generate a first response to the first security violation, store a record of the first security violation, detect a second security violation, and cause the surgical instrument to generate a second response to the second security violation, wherein the second response is escalated from the first response.

IDENTIFICATION OF SPATIAL BIOMARKERS OF HEART DISORDERS AND METHODS OF USING THE SAME

Provided herein are methods of detecting biomarkers and/or candidate biomarkers for heart disorders and uses of the same.

BIOMARKERS OF BREAST CANCER

Provided herein are methods of determining a location of one or more analytes of interest in a cancer sample. Also provided herein are methods of detecting expression of one or more analytes in a cancer (e.g., breast cancer) sample. Further provided are methods of diagnosing and treating breast cancer.

AUTOMATED HEALTH CONDITION SCORING IN TELEHEALTH ENCOUNTERS

A system for automated health condition scoring includes at least one communication interface to receive an audio stream and a video stream from an endpoint in proximity to a patient, at least two different artificial intelligence (“Al”) detectors to respectively process one or both of the audio stream and the video stream using machine learning to automatically determine at least two respective likelihoods of the patient having a health condition, an Al scorer to combine the at least two respective likelihoods of the health condition using machine learning to automatically determine a health condition score representing an overall likelihood of the patient having the health condition, and a display interface that displays an indication of the health condition score to a physician.

MODELING AND SIMULATION OF CURRENT AND FUTURE HEALTH STATES

Systems and methods are provided for simulating a patient health state by determining one or more relationships between patient data and historical data, creating enriched data elements based on the determined relationships, and using a machine learning module to compute a current health state for a patient and to simulate a future health state of the patient.