公开(公告)号：US20220215928A1

公开(公告)日：2022-07-07

申请号：US17569370

申请日：2022-01-05

Applicant: Pearl Inc.

Inventor： Joshua Alexander Tabak ,  Hamza Surti ,  Ophir Tanz ,  Cambron Neil Carter

IPC: G16H20/40 ,  G16H10/60

Abstract: Systems and methods are described for utilizing machine learning techniques to analyze data associated with one or more dental practices to identify missed treatment opportunities, future treatment opportunities, or provider performance metrics. The treatment opportunities or performance metrics may be determined or identified based at least in part on a comparison of patient data, such as data stored in association with a dental office's practice management system, with the output of one or more machine learning models' processing of associated radiograph images of the dental office's patients. The one or more machine learning models may include models that identify, from image data of a radiograph, a dental condition depicted in the radiograph, which may be mapped by a computer system to a corresponding dental treatment recommended for the identified dental condition.

公开(公告)号：US20210383480A1

公开(公告)日：2021-12-09

申请号：US17150883

申请日：2021-01-15

Applicant: Pearl Inc.

Inventor： Joshua Alexander Tabak ,  Adam Michael Wilbert ,  Mustafa Alammar ,  Rohit Sanjay Annigeri ,  Cambron Neil Carter ,  Ophir Tanz

IPC: G06Q40/08 ,  G06F9/54 ,  H04L9/32 ,  G06N20/00 ,  G16H15/00 ,  G16H30/20 ,  G06K9/62 ,  H04L29/06

Abstract: Systems and methods are described for automatically evaluating a claim submitted to an insurance carrier. Claim information and at least one image associated with the claim may be received, where the image has been submitted to a carrier as supporting evidence of a service performed by a submitter of the claim. The system may provide image data and other claim information from the submitted claim as input to machine learning models configured to identify whether the image data, such as a radiograph, supports the other data in the claim submission, such as a treatment code.