Abstract: Various methods and systems are provided for monitoring a pulmonary artery pressure and cardiac synchronization of a subject. In one example, a method includes acquiring at least one of electrocardiogram (ECG) data, phonocardiogram (PCG) data, and seismocardiogram (SCG) data from a subject via a digital stethoscope, inputting one or more of the ECG data, the PCG data, and the SCG data into a machine learning algorithm, and estimating at least one of a pulmonary artery pressure and a cardiac synchronization of the subject using the machine learning algorithm. In this way, the pulmonary artery pressure and the cardiac synchronization may be estimated using artificial intelligence and inputs that are non-invasively measured by the digital stethoscope, allowing conditions like heart failure and pulmonary hypertension to be more simply and reliably detected and monitored.

Abstract: Various methods and systems are provided for an automated clinical exam workflow. In one example, method comprises performing a signal quality check of an electronic stethoscope at a first recording location on a subject, recording physiological data for an exam at the first recording location via the electronic stethoscope in response to the signal quality check satisfying a quality threshold, and outputting a signal quality alert in response to the signal quality check not satisfying the quality threshold. In this way, clinically relevant data may be obtained with reduced user effort and fewer manual inputs.

Abstract: The present disclosure provides methods, devices, and systems for determining a state or condition of a subject. A method for determining a state or condition of a heart of a subject may include using a monitoring device comprising an electrocardiogram (ECG) sensor and an audio sensor to measure ECG data and audio data from an organ of the subject, and transmitting the ECG data and the audio data wirelessly to a computing device. A trained algorithm may be used to process the ECG data and the audio data to determine the state or condition of the organ of the subject. More specifically, the trained algorithm can be customized for a specific indication or condition. An output indicative of the state or condition of the heart of the subject may be provided on the computing device.

Abstract: The present disclosure provides methods, devices, and systems for determining a state or condition of a subject. A method for determining a state or condition of a heart of a subject may include using a monitoring device comprising a plurality of sensors comprising an electrocardiogram (ECG) sensor, an audio sensor, and other sensors to measure data including ECG data and audio data from an organ of the subject and transmitting the data wirelessly to a computing device. A trained algorithm may be used to process the data, such as the ECG data, the audio data, and other data to determine the state or condition of the organ of the subject. More specifically, the trained algorithm can be customized for a specific indication or condition. An output indicative of the state or condition of the heart of the subject may be provided on the computing device or monitoring device.

Abstract: Systems and methods for generating an affinity graph are disclosed. According to one embodiment, a method may include (1) receiving customer data for a plurality of customers and merchant data for a plurality of merchants; (2) generating an initial customer table for each customer from the customer data; (3) generating an initial merchant table for each merchant from the merchant data; (4) receiving transaction data from a plurality of sources; (5) enhancing the initial customer tables and the initial merchant tables; (7) associating each customer and each merchant with at least one attribute based on the enhanced customer tables and the enhanced merchant tables; (8) determining an attribute score for each attribute; and (9) determining an affinity for one of the plurality of customers based on the attribute score for an attribute that is common to the one customer and another one of the plurality of customers.