US 11,723,541 B2
Diagnostic method, method for validation of diagnostic method, and treatment method
Mitsuteru Yasunaga, Fujinomiya (JP); Atsushi Nomura, Tokyo (JP); Kohtaroh Kusu, Fujinomiya (JP); Yusuke Sekine, Chigasaki (JP); and Haruhiko Kamijo, Hando (JP)
Assigned to TERUMO KABUSHIKI KAISHA, Tokyo (JP)
Filed by TERUMO KABUSHIKI KAISHA, Tokyo (JP)
Filed on Oct. 25, 2018, as Appl. No. 16/170,508.
Claims priority of application No. 2017-206694 (JP), filed on Oct. 25, 2017.
Prior Publication US 2019/0117087 A1, Apr. 25, 2019
Int. Cl. A61B 5/02 (2006.01); A61B 5/00 (2006.01); A61B 6/00 (2006.01); A61B 8/08 (2006.01); G16H 50/20 (2018.01); A61B 5/05 (2021.01); G16H 20/40 (2018.01); G06V 10/44 (2022.01); G06F 18/21 (2023.01); G06F 18/2413 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); A61M 25/06 (2006.01); G06V 40/14 (2022.01)
CPC A61B 5/02007 (2013.01) [A61B 5/0082 (2013.01); A61B 5/05 (2013.01); A61B 5/4836 (2013.01); A61B 5/7221 (2013.01); A61B 5/7267 (2013.01); A61B 6/504 (2013.01); A61B 6/5217 (2013.01); A61B 6/5247 (2013.01); A61B 8/085 (2013.01); A61B 8/0891 (2013.01); A61B 8/5261 (2013.01); G06F 18/217 (2023.01); G06F 18/24133 (2023.01); G06V 10/454 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G16H 20/40 (2018.01); G16H 50/20 (2018.01); A61B 8/5223 (2013.01); A61B 2576/02 (2013.01); A61M 2025/0681 (2013.01); G06V 40/14 (2022.01); G06V 2201/03 (2022.01)] 18 Claims
OG exemplary drawing
 
1. A treatment method of a patient having a lesion in each of left and right lower limb arteries connected via an aortoiliac bifurcation to an aorta, the treatment method comprising:
verifying with reinforcement-learned artificial intelligence which of the respective lesions is more proximal to the aortoiliac bifurcation based on diagnostic information on the patient;
training a machine-learning algorithm associated with the reinforcement-learned artificial intelligence with a number of medical devices used for completed treatments, a cost of the number of medical devices used for the completed treatments, and operation times for the completed treatments;
determining that the lesion more proximal to the aortoiliac bifurcation is to be treated first based on determining an operation time, a number of medical devices, and a cost of medical devices for the treating of the lesion more proximal to the aortoiliac bifurcation and treating of a lesion more distal to the aortoiliac bifurcation after the treating of the lesion more proximal to the aortoiliac bifurcation with the machine-learning algorithm associated with the reinforcement-learned artificial intelligence;
introducing a catheter from an artery of an arm of the patient, advancing and placing a catheter tip of the catheter to at least the aortoiliac bifurcation of the patient; and
inserting a therapeutic catheter into a lumen of the catheter, projecting a therapeutic catheter tip of the therapeutic catheter from the catheter tip, and treating the lesion more proximal to the aortoiliac bifurcation first, and then projecting the therapeutic catheter tip of the therapeutic catheter from the catheter tip, and treating the lesion more distal to the aortoiliac bifurcation.