Artificial Intelligence can improve the quality of October acoustic imaging, as suggested by the new report by the researchers. This relatively young medical imaging technique is definitely used for applications such as visualizing the blood vessels. The various other applications are studying brain activity and characterizing the skin. One of the biggest inventions of optoacoustic imaging has benefited the Diagnostic of brain cancer as well as breast cancer. The quality which is rendered in the images is very dependent on the number and distribution of sensors that are used by the device, and some of them, if in large quantity, the imaging will be much better. Completely new approach this completely new approach determines the relatively young medical imaging techniques, and it also allows for substantial reduction of the number of sensors without giving up on the resulting image quality which it makes including this makes it possible to reduce the device cost and also to increase the imaging speed. Effective in improving the diagnosis techniques Optoacoustic is similar in terms of ultrasound imaging. Sensors in the examination recognize the returning noise waves and generator picture of the inside scenario in the body, this is the case with ultrasound but when it comes to opting acoustic images instead it sends very short laser pulses into the tissues where they are absorbed and converted into some of the Ultrasonic waves which is very much similar to ultrasound imaging, but researchers can detect the Waves convert them into the images. The researchers also discarded the majority of the sensors, and with the detrimental effect on the image quality due to the lack of data, it turned out, however, that the previously trained neural network orderly collects for these distortions.