Abstract: Systems and methods for establishing a patient's current or future clinical or lab values are provided. A neural network is trained on a dataset of medical images, such as ultrasound images, that are tagged with information concerning the lab values of people who were imaged to produce the medical images. The trained neural network can then be provided with medical images of a patient, and the neural network can then make a determination as to the patient's current or future clinical or lab values.

Abstract: Systems and methods of predicting future medical events are based on the processing of medical images. The prediction of premature birth and estimation of gestational age based on ultrasound images are presented as illustrative examples. The new abilities to estimate the probability of future medical events, before they otherwise could be predicted, provides new avenues for the development of preventative treatments.

Abstract: Systems and methods of predicting future medical events are based on the processing of medical images. The prediction of premature birth and estimation of gestational age based on ultrasound images are presented as illustrative examples. The new abilities to estimate the probability of future medical events, before they otherwise could be predicted, provides new avenues for the development of preventative treatments.

Abstract: Systems and methods for comprehensive medical diagnosis, prognosis, and treatment optimization are provided. A neural network is trained on a large dataset of medical images or raw data from various imaging modalities, such as ultrasound, MRI, CT, and X-ray, which are labeled with ground truth diagnoses of a wide range of medical conditions. The trained neural network can then be provided with medical images of a patient, and the neural network can make predictions and provide insights related to the presence, absence, severity, progression, or risk of various medical conditions. These predictions and insights can support clinical decision-making and enable early intervention, personalized treatment, and improved patient outcomes. The system can be continually updated with new data to improve its performance over time, and can be integrated into healthcare workflows to enhance the accuracy, efficiency, and effectiveness of medical diagnosis and treatment.

Abstract: Systems and methods for establishing a patient's pharmaceutical use are provided. A neural network is trained on a dataset of medical images, such as ultrasound images, that are tagged with information concerning the use of the pharmaceutical by people who were imaged to produce the medical images. The trained neural network can then be provided with medical images of a patient, and the neural network can then make a determination as to the patient's pharmaceutical use.

Abstract: Systems and methods for establishing a patient's current or future clinical or lab values are provided. A neural network is trained on a dataset of medical images, such as ultrasound images, that are tagged with information concerning the lab values of people who were imaged to produce the medical images. The trained neural network can then be provided with medical images of a patient, and the neural network can then make a determination as to the patient's current or future clinical or lab values.

Abstract: Systems and methods for establishing an expected benefit from a patient's pharmaceutical use are provided. A neural network is trained on a dataset of medical images, such as ultrasound images, that are tagged with information concerning the expected benefit of the pharmaceutical by people who were imaged to produce the medical images. The trained neural network can then be provided with medical images of a patient, and the neural network can then make a determination as to the expected benefit from a patient's pharmaceutical use.

Abstract: Systems and methods of predicting future medical events are based on the processing of medical image. The prediction of premature birth and estimation of gestational age based on ultrasound images are presented as illustrative examples. The new abilities to estimate the probability of future medical events, before they otherwise could be predicted, provides new avenues for the development of preventative treatments.

Abstract: Systems and methods of predicting future medical events are based on the processing of medical image. The prediction of premature birth and estimation of gestational age based on ultrasound images are presented as illustrative examples. The new abilities to estimate the probability of future medical events, before they otherwise could be predicted, provides new avenues for the development of preventative treatments.

Abstract: Systems and methods of predicting future medical events are based on the processing of medical image. The prediction of premature birth and estimation of gestational age based on ultrasound images are presented as illustrative examples. The new abilities to estimate the probability of future medical events, before they otherwise could be predicted, provides new avenues for the development of preventative treatments.