System

Abstract

A system includes a memory that stores a trained model and a processor. The processor acquires a captured image in which at least one energy device and at least one biological tissue are imaged. The processor performs a process based on the trained model stored in the memory to estimate a heat diffusion region and a specific tissue region from the captured image. The processor determines a risk for heat damage on a specific tissue by energy output from the energy device from the estimated heat diffusion region and the estimated specific tissue region.

1 . A system comprising:
 a memory configured to store a trained model that is trained to estimate a heat diffusion region and a specific tissue region from a training device tissue image or a training tissue image, the training device tissue image being an image in which at least one energy device that receives energy supply to output energy and that is outputting energy and at least one biological tissue are imaged, the training tissue image being an image in which the at least one biological tissue is imaged, the heat diffusion region being a region in which heat diffusion from the at least one energy device to the at least one biological tissue is caused by energy output from the at least one energy device, and the specific tissue region being a region in the at least one biological tissue; and   a processor,   wherein the processor is configured to   acquire a captured image that is an image during the energy output and in which the at least one energy device and the at least one biological tissue are imaged,   perform a process based on the trained model stored in the memory to estimate the heat diffusion region and the specific tissue region from the captured image, and   determine a risk for heat damage on a specific tissue by the energy output from the at least one energy device from the estimated heat diffusion region and the estimated specific tissue region.   
     
     
         2 . The system as defined in  claim 1 , wherein the processor determines that there is the risk for heat damage in a case where a distance between the specific tissue region and the heat diffusion region is a threshold or smaller, the threshold being preliminarily set. 
     
     
         3 . The system as defined in  claim 2 , wherein the threshold is different depending on a tissue type of the specific tissue. 
     
     
         4 . The system as defined in  claim 1 , wherein the captured image is a plurality of endoscope images that are different in timing to capture respective images. 
     
     
         5 . The system as defined in  claim 4 , wherein
 the processor   estimates the heat diffusion region and the specific tissue region from each of the plurality of endoscope images, and   outputs time at which heat diffusion reaches the specific tissue region as a result of prediction based on a plurality of the heat diffusion regions and a plurality of the specific tissue regions that are estimated from each of the plurality of endoscope images.   
     
     
         6 . The system as defined in  claim 5 , wherein the processor determines the risk for heat damage before the time as the result of the prediction, and outputs a result of the determination. 
     
     
         7 . The system as defined in  claim 1 , wherein the processor outputs, based on a result of the determination, an energy output adjustment instruction, which is an instruction to decrease the energy output from present energy output or an instruction to stop the energy output, to a generator that controls an amount of energy supply to the at least one energy device based on the energy output adjustment instruction. 
     
     
         8 . The system as defined in  claim 1 , wherein the processor presents recommendation to decrease the energy output from present energy output or recommendation to stop the energy output based on a result of the determination. 
     
     
         9 . The system as defined in  claim 1 , wherein
 the trained model is trained to estimate, from training energy output information of the at least one energy device, the training device tissue image, or the training tissue image, the heat diffusion region in which the heat diffusion from the at least one energy device to the at least one biological tissue is caused and the specific tissue region, and   the processor performs a process based on the trained model stored in the memory to estimate the heat diffusion region and the specific tissue region from the energy output information of the at least one energy device and the captured image.   
     
     
         10 . The system as defined in  claim 1 , wherein the at least one energy device is a device that includes two jaws capable of gripping a tissue and that receives the energy supply from a generator to perform the energy output from the two jaws. 
     
     
         11 . The system as defined in  claim 1 , wherein the at least one energy device is an ultrasonic device. 
     
     
         12 . The system as defined in  claim 1 , wherein the captured image includes white burns due to heat denaturation. 
     
     
         13 . The system as defined in  claim 1 , wherein the captured image includes an endoscope image captured with special light that is different from normal light. 
     
     
         14 . The system as defined in  claim 1 , wherein
 the trained model is trained to estimate tissue heat-transfer characteristics from training energy output information of the at least one energy device, the training device tissue image, or the training device tissue image, and   the processor performs a process based on the trained model stored in the memory to estimate the tissue heat-transfer characteristics from the energy output information of the at least one energy device or the captured image.