US 12,322,496 B2
Adaptive artificial intelligence system for identifying behaviors associated with mental illness and modifying treatment plans based on emergent recognition of aberrant reactions
Laura Granato, McLean, VA (US); Michael M. Kohonoski, Leesburg, VA (US); and Thomas Reigle, Woodbridge, VA (US)
Assigned to Federal Leadership Institute, Inc., McLean, VA (US)
Filed by Federal Leadership Institute, Inc., McLean, VA (US)
Filed on Sep. 14, 2023, as Appl. No. 18/467,432.
Application 18/467,432 is a continuation of application No. 18/161,601, filed on Jan. 30, 2023, granted, now 11,791,034.
Application 18/161,601 is a continuation of application No. 15/956,421, filed on Apr. 18, 2018, granted, now 11,568,979, issued on Jan. 31, 2023.
Prior Publication US 2024/0266024 A1, Aug. 8, 2024
Int. Cl. G16H 20/70 (2018.01); G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01)
CPC G16H 20/70 (2018.01) [G06N 20/00 (2019.01); G16H 10/60 (2018.01); G16H 50/20 (2018.01); G16H 50/50 (2018.01); G16H 50/70 (2018.01)] 18 Claims
OG exemplary drawing
 
1. A non-transitory, processor-readable medium storing code configured to be executed by a processor to cause the processor to:
monitor biometric data of a patient collected during a counseling session administered by a first counselor, the biometric data including data representative of at least one of eye movement, body perspective, body language, facial expression, word selection, sentence structure, pauses in speech, length of a response to a question, or timeliness of the response to the question;
identify an aberrant reaction of the patient to the counseling session by applying a machine learning task to the biometric data, the aberrant reaction identified when the machine learning task detects a deviation in the biometric data from typical values of biometric data for a cohort to which the patient belongs, the machine learning task identifying the aberrant reaction without comparing the biometric data to predefined thresholds;
define a modified treatment plan for at least one of the patient, the first counselor, a second counselor, or a review board based on the aberrant reaction being identified; and
update the machine learning task with the aberrant reaction such that repeated occurrences of the aberrant reaction will cause the machine learning task to relabel the aberrant reaction as a typical reaction.