METHODS AND APPARATUS FOR SELF-LEARNING CLINICAL DECISION SUPPORT

METHODS AND APPARATUS FOR SELF-LEARNING CLINICAL DECISION SUPPORT

Apparatus 1100, systems, and methods 1000 for computer-aided detection are disclosed and described. An example apparatus 1100 includes at least one processor 1112 and a memory 1114, 1116. The example memory includes instructions which, when executed, cause the at least one processor to at least: ass...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: BLUMENTHAL, Marco, MULLER, Serge, BERNARD, Sylvain, IORDACHE, Razvan, CRASEMANN, Axel
Format: Patent
Sprache:eng ; fre ; ger
Schlagworte:
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Beschreibung
Zusammenfassung:Apparatus 1100, systems, and methods 1000 for computer-aided detection are disclosed and described. An example apparatus 1100 includes at least one processor 1112 and a memory 1114, 1116. The example memory includes instructions which, when executed, cause the at least one processor to at least: associate first patient data and first outcome data according to a set of association rules; train a processing model using machine learning and the associated first patient data and first outcome data; generate a computer-aided decision processing algorithm using the processing model; update the computer-aided decision processing algorithm based on at least one of second patient data or second outcome data received from a cloud infrastructure; and deploy the updated computer-aided decision processing algorithm to be applied to third patient data.