Embodiments of the present invention provide a method for treatment of respiratory disorders such as asthma, chronic obstructive pulmonary disease, and chronic sinusitis, including cystic fibrosis, interstitial fibrosis, chronic bronchitis, emphysema, bronchopulmonary dysplasia and neoplasia. The method involves administration, preferably oral, nasal or pulmonary administration, of anti-inflammatory and anti-proliferative drugs (rapamycin or paclitaxel and their analogues) and an additive.

Systems slow breathing with positive pressure therapy. In embodiments, a current interim breathing rate target is set, and periodically magnitude of a variable pressure waveform scaled to the current interim breathing rate target is increased if breathing rate is greater than the interim rate target to lengthen breath duration. The magnitude of the pressure increase may be a function of the difference between the interim rate target and the breathing rate. The interim rate target may be reduced in response to slowing breathing rate. The waveform cycles, inhalation to exhalation, when airflow decreases to a cycle threshold. Different interim rate targets have different cycle threshold functions that allow easier cycling as the interim rate targets decrease. Similarly, the waveform triggers, exhalation to inhalation, when airflow increases to a trigger threshold. Different interim rate targets have different trigger threshold functions that allow easier triggering as the interim rate targets decrease.

An intubation assistance device includes an electronic controller configured to: identify, from one or more images of a patient, information about the patient including at least a diameter of a trachea and a length of an intubation pathway; determine a recommended ETT size including an ETT diameter and an ETT depth of insertion from the determined diameter of the trachea and the determined length of the intubation pathway; and display the recommended ETT size on a display device.

An intubation assistance device includes an electronic controller configured to: identify, from one or more images of a patient, information about the patient including at least a diameter of a trachea and a length of an intubation pathway; determine a recommended ETT size including an ETT diameter and an ETT depth of insertion from the determined diameter of the trachea and the determined length of the intubation pathway; and display the recommended ETT size on a display device.

A system for assessing extubation includes a respiratory assistance device, an artificial intelligence platform, and a hospital information system. The respiratory assistance device is adapted to communicate with a trachea of a patient. The artificial intelligence platform includes a prediction module. A method for assessing extubation includes the following steps. Measured values of respiratory parameters of the patient are recorded by the respiratory assistance device. The recorded times and the measured values of the respiratory parameters corresponding to each of the recording times are transmitted to the artificial intelligence platform. The prediction module analyzes the measured values of respiratory parameters within a predetermined time period according to a prediction model to generate a prediction result. The prediction result is transmitted to the hospital information system and is recorded into a medical record of the patient. With such design, a reference for extubation assessment that is more accurate is provided.

A system for assessing extubation includes a respiratory assistance device, an artificial intelligence platform, and a hospital information system. The respiratory assistance device is adapted to communicate with a trachea of a patient. The artificial intelligence platform includes a prediction module. A method for assessing extubation includes the following steps. Measured values of respiratory parameters of the patient are recorded by the respiratory assistance device. The recorded times and the measured values of the respiratory parameters corresponding to each of the recording times are transmitted to the artificial intelligence platform. The prediction module analyzes the measured values of respiratory parameters within a predetermined time period according to a prediction model to generate a prediction result. The prediction result is transmitted to the hospital information system and is recorded into a medical record of the patient. With such design, a reference for extubation assessment that is more accurate is provided.

A method of reducing the risk of ventilator-associated pneumonia by decontaminating the oropharynx using a safe, antimicrobial light-emitting device.

A method of reducing the risk of ventilator-associated pneumonia by decontaminating the oropharynx using a safe, antimicrobial light-emitting device.

Methods, devices, and systems are disclosed for controlled delivery of a therapy, such as a stimulant, to a mouth of a subject via an oral device positioned in a secured configuration in the mouth. At least one of a tongue position stimulator (TST) and tongue position sensor (TSE) is provided, according to certain aspects. According to another aspect, a stimulus is delivered to the mouth and/or tongue via a mouthpiece secured to the subject's teeth. In another regard, a stimulus is delivered that generates a natural response to eliminate or reduce sleep disorders, such as for example at least one of snoring and obstructive sleep apnea.

The present disclosure relates generally to the field of medical devices. In particular, the present disclosure relates to devices and methods to guide delivery devices and instruments. Exemplary instrument guides, including for endoscopes as delivery devices for cryogen delivery catheters and to guide cryogen decompression tubes as instruments, and methods for use of such instrument guides for use in body lumens at treatment sites, are disclosed.