Abstract: The present disclosure provides systems and methods for training and/or employing machine-learned models (e.g., artificial neural networks) to diagnose chest conditions such as, as examples, pneumothorax, opacity, nodules or masses, and/or fractures based on chest radiographs. For example, one or more machine-learned models can receive and process a chest radiograph to generate an output. The output can indicate, for each of one or more chest conditions, whether the chest radiograph depicts the chest conditions (e.g., with some measure of confidence). The output of the machine-learned models can be provided to a medical professional and/or patient for use in providing treatment to the patient (e.g., to treat a detected condition).

Abstract: A hotel room that serves as guest accommodations and provides a fitness area for a guest. The hotel room includes different zones, at least one of which is a sleeping zone, and at least the other of which can serve a fitness function. The fitness zone may be convertible between living spaces and fitness, or may serve only a fitness function.