Abstract: A system and method provide artificial intelligence (AI)-based diagnostic guidance for a patient. The system receives captured radiological scan images of the patient, and input components such as results of physical examination of the patient and laboratory data of the patient. The system provides patient imaging information based on the recognized patterns of the received radiological scan images and the three-dimensional reconstructed scans, identifies problems based on predetermined AI criteria and deep-learning based on patient-specific patterns, responses, and the input components, determines risk factors of the patient which cause heath issues, provides probability estimation of diagnoses that predict probability of occurrence of the health issues to the patient based on the risk factors of the patient, prioritize the problems to a hot list based on the probability estimation of diagnoses.

Abstract: Method, apparatus, and computer-readable media providing medical personnel artificial intelligence (AI)-derived data regarding a patient presenting neurological indications includes a guidance server. Preferably, the guidance server receives three or more of: (i) natural language input from medical personnel, (ii) real-time vital signs telemetry data, (iii) neurosurgical treatment database information, (iv) neurosurgical treatment guideline information, (v) clinical laboratory testing results, (vi) patient historical data, and (vii) patient imaging information. An imaging post-processor receives (i) patient imaging history information, (ii) and real-time patient imaging data, and provides to the guidance server the patient imaging information. The guidance server then provides one or more alerts (or other guidance) to the medical personnel.

Abstract: Method, apparatus, and computer-readable media providing medical personnel artificial intelligence (AI)-derived data regarding a patient presenting neurological indications includes a guidance server. Preferably, the guidance server receives three or more of: (i) natural language input from medical personnel, (ii) real-time vital signs telemetry data, (iii) neurosurgical treatment database information, (iv) neurosurgical treatment guideline information, (v) clinical laboratory testing results, (vi) patient historical data, and (vii) patient imaging information. An imaging post-processor receives (i) patient imaging history information, (ii) and real-time patient imaging data, and provides to the guidance server the patient imaging information. The guidance server then provides one or more alerts (or other guidance) to the medical personnel.