Artificial intelligence ultrasonic auxiliary system and application thereof

Abstract

The invention relates to the field of ultrasonic medical images, and provides an artificial intelligence ultrasonic auxiliary system and application thereof. The system is mainly applied to an ultrasonic machine, an image system and telemedicine. The artificial intelligence ultrasonic auxiliary system comprises an image collection module. The system comprises an image transmission module, an imageframing module, an automatic classification module, an automatic film selection module, a teaching auxiliary module, a film reading prompt module and a quality control analysis module, realizes automatic classification of cases, automatically selects a standard section for negative cases, and provides functions of automatic film reading prompt, teaching assistance, quality control analysis and the like for suspected cases. After an ultrasonic auxiliary system based on artificial intelligence is implanted into an ultrasonic machine, an image information system and a remote medical system, doctors with low annual resources can quickly start, and the defect of basic medical resources is overcome.

Description

technical field [0001] The invention relates to the field of ultrasonic medical imaging, in particular to an artificial intelligence ultrasonic auxiliary system and its application. Background technique [0002] In the current field of ultrasound medicine, there is a huge supply-demand asymmetry. [0003] From the perspective of doctors’ needs, a fast and accurate system is needed to help doctors quickly and accurately detect whether a patient is a positive case or a negative case in their daily work. For negative cases, a standard section that meets clinical needs is automatically obtained; for positive cases, it provides Image reading prompts allow doctors to clearly understand relevant signs and assist doctors to make accurate diagnoses. [0004] The current status of products and services that the market and enterprises can provide are: [0005] At present, neither the ultrasound machine nor the image information system connected to the ultrasound machine has the funct...

AI Technical Summary

Problems solved by technology

[0013] Restricted image reading: The accuracy of image reading by doctors who can diagnose is based on whether the ultrasound images collected by the remote doctor meet the clinical standards. It is subject to the personal experience and level of the remote doctor. Many ultrasound images collected do not meet the standards, seriously affecting Improve the accuracy of the expert doctor's reading

[0014] Long time and tired doctors: The collection of standard ultrasound image slices is limited by the technology and experience of the remote doctors themselves. During the process of image collection, the consulting doctor needs to spend more time and energy on remote guidance. Techniques and techniques affect the diagnosis. Doctors at the consultation end need to see the real-time imaging video of the ultrasound equipment and the drawing technique of the doctor at the same time, and provide real-time guidance to them, telling the doctor at the remote end where to apply force, pressurize, and adjust. The doctor at the consultation end Doctors spend a lot of time and energy

[0015] It is easy to miss and misdiagnose: Telemedicine is subject to time constraints, personnel interference and image conditions. Doctors at the consultation end cannot make a comprehensive and detailed observation of the collected images, and it is easy to miss some lesion areas, resulting in the risk of missed diagnosis and misdiagnosis

[0016] The accuracy and safety of the robotic arm are unreliable: through remote operation of the robotic arm, it is difficult to achieve the level of on-site image collection due to precision problems. At the same time, the remote control of the robotic arm lacks force perception, which may cause damage to the patient’s organ compression.

Images