Image and Voice Analysis for Non-Invasive Life Insurance Underwriting
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Solution Overview
Problem
The underwriting process for life insurance is hindered by the need for invasive medical procedures and the risk of fraudulent information, as existing methods struggle to accurately assess health-related characteristics without direct medical examinations or reliable verification.
Innovation Solution
A system and method that analyze still and/or moving images and voice recordings using machine learning techniques, trained with databases of known characteristics, to probabilistically determine personal and health-related information, thereby facilitating the determination of appropriate insurance premiums and terms without conventional medical reviews or invasive procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional underwriting methods are used requiring invasive medical procedures and direct medical examinations, then measurement precision of health characteristics is improved, but ease of operation and applicant convenience deteriorate
Solution Approach 1:
The patent replaces mechanical/invasive medical examination systems with an automated image and voice analysis system using machine learning. The processing element analyzes images and voice recordings to determine health-related characteristics without requiring physical medical procedures, thereby maintaining measurement precision while dramatically improving ease of operation and applicant convenience.
Solution Approach 2:
The patent uses copies (images and voice recordings) of the applicant instead of the applicant's physical presence for medical examination. The processing element analyzes these copies to extract health information, eliminating the need for invasive procedures while maintaining assessment accuracy through probabilistic correlation with known characteristics from training databases.
2Ease of operation
If statistical techniques and proxy data are used to assess health information, then ease of operation is improved, but measurement precision and reliability of health assessments deteriorate
Solution Approach 1:
The patent introduces an intermediary processing element that directly analyzes images and voice recordings to extract health information, rather than relying on proxy statistical techniques. This intermediary system is trained on databases of images with known characteristics, enabling it to directly correlate visual and auditory features with health status, thereby improving measurement precision while maintaining ease of operation.
3Reliability
If fraudulent information is priced into future policies, then reliability of current assessments is maintained, but loss of information about actual health status increases
Solution Approach 1:
The patent replaces manual information verification processes with automated image and voice analysis that objectively determines health characteristics. This substitution eliminates the need to price fraud into policies because the system directly assesses actual health status from visual and auditory data, reducing information loss about true health conditions while maintaining reliability through consistent automated evaluation.
Data Source
AI summary
A system and method for evaluating an insurance applicant as part of an underwriting process to determine one or more appropriate terms of life or other insurance coverage, such as premiums. A processing element employing a neural network is trained to correlate aspects of appearance and/or voice with personal and/or health-related characteristic. A database of images and/or voice recordings of individuals with known personal and/or health-related characteristics is provided for this purpose. The processing element is then provided with an image and/or voice recording of the insurance applicant. The image may be an otherwise non-diagnostic image, such as an ordinary “selfie.” The trained processing element analyzes the image of the insurance applicant, with their permission or affirmative consent, to determine the personal and/or health-related characteristic for the insurance applicant, and then, based upon that analysis, facilitates the underwriting process and/or suggests the one or more appropriate terms of insurance coverage.