Abstract: A method and apparatus include receiving information associated with a bug bite. Information that identifies the bug bite is determined using a model, based on receiving the information associated with the bug bite. Information that identifies the bug bite is provided, based on determining the information that identifies the bug bite.

Abstract: A method of performing a heart abnormalities analysis, includes learning text information from an electronic medical record (EMR) and/or an electronic health record (EHR) of a user, learning signal information from electrocardiography (ECG) signal data of the user, merging the learned text information and the learned signal information to generate one or more representations of the text information and the signal information that are merged, and performing the heart abnormalities analysis on the generated one or more representations.

Abstract: A method of medical data auto collection segmentation and analysis, includes collecting, from a plurality of sources, unstructured medical data in a plurality of formats, recognizing a medical name entity of each piece of the unstructured medical data, using a medical dictionary, and performing semantic text segmentation on each piece of the unstructured medical data so that each piece of the unstructured medical data is partitioned into groups sharing a same topic. The method further includes generating, as structured medical data, each piece of the unstructured medical data of which the medical name entity is recognized, each piece of the unstructured medical data being partitioned into the groups, and indexing the structured medical data into elastic search clusters.

Abstract: A method and apparatus are provided that includes, in a same framework, storing an artificial intelligence (AI) model, loading the AI model into a serving platform, loading and testing a test unit against the AI model loaded into the serving platform, and collecting reports from results of storing the AI model, loading the AI model into the serving platform and testing the test unit.

Abstract: There is included an apparatus and system including an intra-heartbeat (HB) extraction code configured to extract intra-HB features from electrocardiography (ECG) signals, and an inter-HB extraction code configured to extract inter-HB features from the ECG signals, and at least one attention mechanism code configured to control at least one of the intra-HB extraction code and inter-HB extraction code based on at least one attention mechanism.