System, information storage medium, and information processing method
The system includes a memory that stores a trained model, and a processor. The processor acquires at least one treatment image including an image in which at least one energy device and at least one biological tissue are captured. The processor acquires information regarding an amount of energy supply, the information regarding an energy output setting of the energy device. The processor estimates, based on the treatment image, the information regarding the amount of energy supply, and the trained model, estimated remaining heat information regarding an amount of heat or a temperature of the energy device. The processor causes a notification section to make a notification based on the estimated remaining heat information.
1 . A system comprising:
a memory storing a model that is trained based on:
a plurality of images that captured at least one of an energy device and at least one biological tissue; and
at least one of an energy output setting of the energy device and a temperature of the energy device after energy is supplied to the energy device; and
a processor,
wherein the processor:
acquires an endoscope image during a treatment that utilizes the energy device, wherein the endoscope image captures the energy device and the at least one biological tissue,
acquires information regarding an energy output setting of the energy device during the treatment,
runs the model, with the endoscope image and the acquired information as input, to estimate a temperature of the energy device after completion of energy output by the energy device during the treatment,
generates a notification based on the estimated temperature of the energy device, and
outputs the generated notification to indicate an alert regarding the estimated temperature of the energy device.
2 . The system as defined in claim 1 ,
wherein the processor:
extracts, from the endoscope image, information regarding a biological tissue that is captured in the endoscope image, and
runs the model to estimate the temperature of the energy device based on the information regarding the biological tissue and the acquired information regarding the energy output setting of the energy device during the treatment.
3 . The system as defined in claim 2 ,
wherein the processor:
extracts, from the endoscope image, information regarding the energy device that is captured in the endoscope image, and
runs the model to estimate the temperature of the energy device based on the information regarding the energy device and the information regarding the biological tissue.
4 . The system as defined in claim 1 ,
wherein the model is trained based on a relationship among the plurality of images, the energy output setting of the energy device, and the temperature of the energy device after energy is supplied to the energy device.
5 . The system as defined in claim 4 ,
wherein the processor runs the model to estimate a time for the temperature of the energy device to reach a specified value after the completion of energy output by the energy device.
6 . The system as defined in claim 1 ,
wherein the alert indicates the estimated temperature of the energy device is higher than a predetermined threshold.
7 . The system as defined in claim 1 , wherein:
the processor outputs the generated notification on a display to display the estimated temperature of the energy device.
8 . The system as defined in claim 7 ,
wherein the processor outputs the generated notification on the display when the estimated temperature of the energy device is higher than a predetermined threshold.
9 . The system as defined in claim 7 ,
wherein the processor superimposes color on the display to indicate the estimated temperature of the energy device.
10 . A computer-readable non-transitory information storage medium storing a program for causing a computer to execute:
acquiring an endoscope image during a treatment that utilizes an energy device, wherein the endoscope image captures the energy device and at least one biological tissue;
acquiring information regarding an energy output setting of the energy device during the treatment;
running a model, with the endoscope image and the acquired information as input, to estimate a temperature of the energy device after completion of energy output by the energy device during the treatment, wherein the model is trained based on:
a plurality of images that captured at least one of an energy device and at least one biological tissue; and
at least one of energy output setting of the energy device and a temperature of the energy device after energy is supplied to the energy device; and
displaying the estimated temperature of the energy device on a monitor.
11 . The computer-readable non-transitory information storage medium as defined in claim 10 , which stores the program for causing the computer to execute:
extracting, from the endoscope image, information regarding a biological tissue that is captured in the endoscope image, and
running the model to estimate the temperature of the energy device based on the information regarding the biological tissue and the acquired information regarding the energy output setting of the energy device during the treatment.
12 . The computer-readable non-transitory information storage medium as defined in claim 10 , wherein the model is trained based on a relationship among the plurality of images, the energy output setting of the energy device, and the temperature of the energy device after energy is supplied to the energy device.
13 . The computer-readable non-transitory information storage medium as defined in claim 12 , which stores the program for causing the computer to execute:
running the model to estimate a time for the temperature of the energy device to reach a specified value after completion of the energy output by the energy device.
14 . An information processing method, comprising:
acquiring an endoscope image during a treatment that utilizes an energy device, wherein the endoscope image captures energy device and at least one biological tissue;
acquiring information regarding an energy output setting of the energy device during the treatment;
running a model, with the endoscope image and the acquired information as input, to estimate a temperature of the energy device after completion of energy output by the energy device during the treatment, wherein the model is trained based on:
a plurality of images that captured at least one of an energy device and at least one biological tissue; and
at least one of energy output setting of the energy device and a temperature of the energy device after energy is supplied to the energy device; and
displaying the estimated temperature of the energy device on a monitor.
15 . The information processing method as defined in claim 14 , comprising:
extracting, from the endoscope image, information regarding a biological tissue that is captured in the endoscope image; and
running the model to estimate the temperature of the energy device based on the information regarding the biological tissue and the acquired information regarding the energy output setting of the energy device during the treatment.
16 . The information processing method as defined in claim 14 ,
wherein the model is trained based on a relationship among the plurality of images, the energy output setting of the energy device, and the temperature of the energy device after energy is supplied to the energy device.
17 . The information processing method as defined in claim 16 , comprising
running the model to estimate a time for the temperature of the energy device to reach a specified value after completion of the energy output by the energy device.