Systems and methods for reconstruction and characterization of physiologically healthy and physiologically defective anatomical structures to facilitate pre-operative surgical planning

A pre-operative surgical planning system utilizes machine learning classification to provide candidate elements of a pre-operative surgical plan. The pre-operative surgical planning system may comprise a machine learning reconstruction engine that is trained with artificial computer models of physio...

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Bibliographische Detailangaben
Hauptverfasser:	Levy, Jonathan, Gutierrez, Sergio, Iannotti, Joseph P, Frankle, Mark A, Abboud, Joseph A, Williams, Gerald, Edwards, Thomas Brad
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DIAGNOSIS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY
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Beschreibung
Zusammenfassung:	A pre-operative surgical planning system utilizes machine learning classification to provide candidate elements of a pre-operative surgical plan. The pre-operative surgical planning system may comprise a machine learning reconstruction engine that is trained with artificial computer models of physiologically compromised anatomical structures.