Medical image detection and azithromycin in the treatment of pelvic inflammation based on intelligent hospital system

摘要

The pelvic infection and people genital tract inflammation, infertility, chronic pain, and reasons for detecting ectopic pregnancy. Diagnostic and management challenges, from different signs and symptoms and a variety of microbial etiology is not fully delineated largely responsible. Because of the potential for serious things of the network, it is recommended for the diagnosis and treatment of low barriers to entry. One of pelvic inflammatory infection of pregnant woman of childbearing age is not the most testing an important public pelvic problem remains. This is the main long-term internet of things, such as tubal factor infertility, ectopic pregnancy and chronic pelvic pain. Also, acute care and its complications lead to significant pelvic care costs. These long-term preventions of the internet of things depend on the microbial cause of acute knowledge of strategies based on treatment. All aware that it is a polymicrobic acute infection. Organisms, Chlamydia trachomatis and Neisseria gonorrhoeae sexually transmit presence, in many cases, including the endogenous vaginal and cervical flora often associated with microorganisms. It contains anaerobic and facultative bacteria similar to those associated with bacterial most importantly mycoplasma has also recently been involved in acute reasons. Therefore, a therapeutic regimen for acute should provide a wide spectral range that is effective against these microorganisms.