公开(公告)号：US2108278A

公开(公告)日：1938-02-15

申请号：US70872734

申请日：1934-01-29

申请人： PACKERS TAR SOAP INC

发明人： WEBBER CALVIN R

IPC分类号： B65D5/42 ,  B65D5/52

CPC分类号： B65D5/4233 ,  B65D5/528 ,  Y10S24/11

公开(公告)号：US20240355471A1

公开(公告)日：2024-10-24

申请号：US18525115

申请日：2023-11-30

申请人： SOAP, Inc.

发明人： Steven Charlap

IPC分类号： G16H50/20 ,  G16H10/20 ,  G16H20/10 ,  G16H40/67 ,  G16H50/30 ,  G16H50/70

CPC分类号： G16H50/20 ,  G16H10/20 ,  G16H20/10 ,  G16H40/67 ,  G16H50/30 ,  G16H50/70

摘要： Leveraging generative artificial intelligence to provide diagnoses for patients. In some examples, elimination rules based on patient intake data are applied to a very large corpus of candidate diagnoses, such as all known human medical diagnoses, to narrow down the very large corpus of candidates to a meaningful differential diagnosis or final diagnosis. In some examples, targeted information is elicited to determine and apply additional elimination rules to further narrow down the candidate diagnoses. In some examples, patient intake data is classified into risk data and symptom data and processed by data type-specific machine learning models. In some examples, patient intake data is reconciled and correlated between risk and symptom data by specific machine-learning models to improve diagnostic clustering and accuracy.