Z-Med - Multimodal AI Medical Assistant

Medical malpractice is an increasing public health concern among healthcare providers worldwide. Some specific examples include the following: more than 30% of false-negative diagnostic result, the decreasing number of qualified professionals, low efficiency of procedures that require preliminary medical testing (for example, in vitro fertilization efficiency in Russia is approximately 35% after the first try and 40% after the second try). Another reason is growing need to reduce increasing healthcare costs (e.g. increased buy/use of ventilators during the COVID-19 pandemic) Z-med platform is software for enhancing the accuracy of the diagnosis based on the results of computed tomography, fluorography, mammography, spinal MRI, histology, and in vitro fertilization (IVF) through AI-based analyzing, processing and markup of medical data, including pathology image segmentation and preparing of a formalized description of the particular study. Multi-model platform allows to connect shortly any model for DICOM (technical standard for the digital storage and transmission of medical images and related information) Additionally, the platform aids in predicting the success of medical procedure. For example, through deep data analysis from age, history of previous IVF cycles, endometrial condition, and other factors, the platform automatically determines parameters (embryo structure, development, and health) and generates more accurate prognosis for the likelihood of successful implantation, increasing the chances of a successful IVF procedure completion.