US 12,420,145 B2
Systems and methods of using artificial intelligence and machine learning for generating alignment plans to align a user with an imaging sensor during a treatment session
Steven Mason, Las Vegas, NV (US); Daniel Posnack, Fort Lauderdale, FL (US); Peter Arn, Roxbury, CT (US); Wendy Para, Las Vegas, NV (US); S. Adam Hacking, Nashua, NH (US); Micheal Mueller, Oil City, PA (US); Joseph Guaneri, Merrick, NY (US); and Jonathan Greene, Denver, CO (US)
Assigned to ROM Technologies, Inc., Brookfield, CT (US)
Filed by ROM TECHNOLOGIES, INC., Brookfield, CT (US)
Filed on Mar. 9, 2022, as Appl. No. 17/690,534.
Application 17/690,534 is a continuation in part of application No. 17/379,740, filed on Jul. 19, 2021, granted, now 11,508,482.
Application 17/379,740 is a continuation in part of application No. 17/021,895, filed on Sep. 15, 2020, granted, now 11,071,597, issued on Jul. 27, 2021.
Claims priority of provisional application 63/158,704, filed on Mar. 9, 2021.
Claims priority of provisional application 62/910,232, filed on Oct. 3, 2019.
Prior Publication US 2022/0193491 A1, Jun. 23, 2022
Int. Cl. A63B 24/00 (2006.01); A63B 22/06 (2006.01); G16H 20/30 (2018.01); G16H 50/20 (2018.01)
CPC A63B 24/0075 (2013.01) [A63B 22/0605 (2013.01); A63B 22/0694 (2013.01); G16H 20/30 (2018.01); G16H 50/20 (2018.01); A63B 2024/0068 (2013.01); A63B 2024/0093 (2013.01); A63B 2220/05 (2013.01); A63B 2225/20 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor during a treatment session, wherein the method comprises:
generating, by the artificial intelligence engine, one or more machine learning models trained to identify alignment plans;
receiving user data, wherein the user data comprises a first location of a targeted portion of a body of the user and one or more characteristics of the user;
determining that the targeted portion of the body is outside of a field of view of the imaging sensor;
generating, by the artificial intelligence engine and by using the one or more machine learning models, the one or more alignment plans, wherein the generating is based on at least one of the one or more characteristics of the user, wherein each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from the first location to the target location;
transmitting the one or more alignment plans to a computing device; and
transmitting, to a treatment apparatus, one or more control signals that cause the treatment apparatus to adjust one or more portions of the treatment apparatus, wherein such adjustment complies with one or more operating parameters specified in the one or more alignment plans.