Follicle development prediction system in hyper-ovulation therapy based on artificial intelligence technology

Abstract

The invention relates to a follicle development prediction system in hyper-ovulation therapy based on artificial intelligence technology. An artificial intelligence function model system is obtained through autonomous learning and training by combining a gynecological endocrine related theory from the perspective of artificial intelligence and taking clinical data of previous patient diagnosis and treatment as a research object; clinical doctors are assisted in clinical pre-judgment and clinical error early warning and correction, and the safety, accuracy, controllability and efficiency of clinical diagnosis and treatment are improved; a new perspective is provided for research on clinical management of COH patients in reproductive medicine, and the limitations of insufficient artificial clinical diagnosis and treatment experience and limited prediction and pre-judgment ability in the hyper-ovulation therapy process are improved; fine and standardized research on the hyper-ovulation medication dosage is promoted, an early warning value is set for OHSS case data generated by a wrong medication scheme, and a theoretical basis is provided for early warning correction through a computer language; and the diagnosis and treatment efficiency of clinicians is optimized, the COH medical risk is reduced, the egg obtaining outcome cost performance is improved, and the medical cost is saved.

Description

technical field [0001] The present invention relates to ICT specially suitable for medical diagnosis, medical simulation or medical data mining; technical field specially suitable for detection, monitoring or modeling of epidemics or infectious diseases, in particular to an artificial intelligence technology-based superovulation induction treatment Follicle Development Prediction System. Background technique [0002] The World Health Organization predicts that infertility will become the third largest disease after tumors and cardiovascular and cerebrovascular diseases. Demand will continue to increase. [0003] ART technology includes artificial insemination, in vitro fertilization-embryo transfer (IVF-ET) and its derivative technologies. Ovulation induction (COH) is one of the important links of ART. Reasonable, standardized and safe ovulation induction process is the key to obtaining high The premise of high-quality and high-quantity embryos is also the basic guarantee ...

AI Technical Summary

Problems solved by technology

[0004] The success rate of ART depends on many links, and the ovarian function and other conditions of different patients are different. Although the use of ovulation-stimulating drugs has greatly improved the cure rate of infertility and brought good news to many infertile patients, but because the drugs are harmful to patients The normal physiological state has been intervened, coupled with some problems in clinical drug management, there is no unified COH drug plan to guide clinicians to make individualized and precise diagnosis and treatment, which makes the management of COH patients uncontrollable to a certain extent, and also causes Some unintended negative effects include increased multiple pregnancy and related maternal and child risks, increased incidence of ovarian hyperstimulation syndrome (OHSS), certain tumors are related to induction of ovulation, impact on offspring and other risks, etc., and clinical Different clinicians also have large clinical differences in the interpretation of ovulation stimulation results and the prediction of long-term oocyte retrieval outcome in the work

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