Abstract: A method can include receiving, at a computer system, characteristic values of a pregnancy of a subject. As an example, the characteristic values can include a numerical value for a live birth order of the pregnancy for the subject. The computer system can store a machine learning model that receives a first set of input features and provides a second set of one or more output values. In some embodiments, the first set of input features can correspond to the characteristic values of the pregnancy of the subject. The second set of one or more output values can include a probability of a Cesarean delivery. The characteristic values can be input into the machine learning model to obtain the probability of the Cesarean delivery being required for the subject during an attempt of a vaginal delivery. The Cesarean delivery can be performed based on the probability.

Abstract: A robot configured to recognize and pick up at least one predetermined object, the robot being configured in such a manner that the predetermined object is recognized and picked up in a work space below the robot. The robot may have an end effector and an adjusting unit for picking up the predetermined object. The end effector and the adjusting unit are disposed in the work space below the robot.

Abstract: A robot configured to recognize and pick up at least one predetermined object, the robot being configured in such a manner that the predetermined object is recognized and picked up in a work space below the robot. The robot may have an end effector and an adjusting unit for picking up the predetermined object. The end effector and the adjusting unit are disposed in the work space below the robot.

Abstract: A robot configured to recognize and pick up at least one predetermined object, the robot being configured in such a manner that the predetermined object is recognized and picked up in a work space below the robot. The robot may have an end effector and an adjusting unit for picking up the predetermined object. The end effector and the adjusting unit are disposed in the work space below the robot.

Abstract: A method can include receiving, at a computer system, characteristic values of a pregnancy of a subject. As an example, the characteristic values can include a numerical value for a live birth order of the pregnancy for the subject. The computer system can store a machine learning model that receives a first set of input features and provides a second set of one or more output values. In some embodiments, the first set of input features can correspond to the characteristic values of the pregnancy of the subject. The second set of one or more output values can include a probability of a Cesarean delivery. The characteristic values can be input into the machine learning model to obtain the probability of the Cesarean delivery being required for the subject during an attempt of a vaginal delivery. The Cesarean delivery can be performed based on the probability.

Abstract: Mobile systems and methods are adapted to control and document prehospital patient care reports and communication of patient status to a receiving medical treatment facility. The systems and methods relate to systems and methods for managing, recording, and administering drugs such as narcotics in an ambulatory and/or emergency environment.

Abstract: Mobile systems and methods are adapted to control and document prehospital patient care reports and communication of patient status to a receiving medical treatment facility. The systems and methods relate to systems and methods for managing, recording, and administering drugs such as narcotics in an ambulatory and/or emergency environment.

Abstract: Mobile systems and methods are adapted to control and document prehospital patient care reports and communication of patient status to a receiving medical treatment facility. The systems and methods relate to systems and methods for managing, recording, and administering drugs such as narcotics in an ambulatory and/or emergency environment.

Abstract: Mobile systems and methods are adapted to control and document prehospital patient care reports and communication of patient status to a receiving medical treatment facility. The systems and methods relate to systems and methods for managing, recording, and administering drugs such as narcotics in an ambulatory and/or emergency environment.

Abstract: A multifunctional, self-contained towable backhoe apparatus adapted for direct over-the-road trailering by a towing vehicle, has a support frame having a front and a rear, and a trailering hitch attached to the front. Wheels support the frame at the front and the rear. The rear wheels can function as drive wheels. A backfill blade is movably attached to the rear of the frame. An articulated arm assembly is pivotably mounted on the rear of the frame. A stabilizer with a street pad, a spade, or both, can be secured to the front of the frame for stabilizing the apparatus while in a digging position. The movable backfill blade is capable of movement to a raised position for supporting the articulated arm during transport and movement to at least one lowered ground-engaging position capable of stabilizing the apparatus, of earth moving, or a combination thereof. One end of the articulated arm is adapted for attachment of a tool, including a digging bucket, a pavement breaker, an auger, a grapple, or a fork.