Method for automatically generating ultrasonic report by voice input thyroid ultrasonic anomaly description

Abstract

The invention provides a method for generating a thyroid ultrasonic report by voice input of B-ultrasonic abnormal keywords. The method comprises the following steps: defining a thyroid ultrasonic semantic tree; generating a substructure according to the thyroid ultrasonic semantic tree; performing B-ultrasonic abnormal keyword voice input; positioning a description range; positioning a gland background description part and carrying out attribute positioning; positioning focal lesion description nodules and carrying out attribute positioning; supplementing necessary attributes; supplementing default information; generating text. According to the method, a B-ultrasonic doctor inputs B-ultrasonic exception description through voice while carrying out ultrasonic imaging diagnosis, and does not need to manually input an ultrasonic text report by an additional doctor, so that the manpower is greatly saved. After voice input of a doctor is finished, normal attribute values of unmentioned attributes can be automatically filled, voice description of a large amount of default redundant information by the doctor is avoided, and the integrity of a report is ensured under the condition that voice input is reduced as much as possible. Finally, a text is generated based on the generated sample tree, and the problem of report ambiguity is solved.

Description

technical field [0001] The invention relates to a method for automatically generating a thyroid ultrasound report by voice inputting a thyroid ultrasound abnormality description. Background technique [0002] Medical image diagnosis such as B-ultrasound is the main information basis for current clinical diagnosis, and providing accurate, clear and timely image diagnosis reports is an important requirement for B-ultrasound diagnosis. In the diagnosis process, B-ultrasound doctors need to focus on the observation and analysis of images, and it is difficult to input and output diagnostic reports in real time. Therefore, the current B-ultrasound examination mode generally requires two operators, one for image observation and one trained text input person for report entry. This process has caused a huge waste of hospital human resources that are already in short supply. On the other hand, the way of manual input not only affects the efficiency of report generation, but also eas...

AI Technical Summary

Problems solved by technology

This problem can be solved by complete voice recording of the entire report, but doctors need to describe a large number of default or routine performances in voice, which will bring unnecessary burden to the clinical work of B-ultrasound doctors

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