Automated Medical Diagnosis Software
angkhan @ stock.adobe.com
This software includes deep learning techniques that facilitate health analysis from different patient data points, which are compared with massive amounts of medical data in order to diagnose and prevent diseases. Patient information is collected from wearables, smart implants, internal or external sensors, while more complex data is obtained from imaging exams, genetic data, and medical history. This very same solution can also be applied to livestock healthcare.
This application uses machine learning to analyze structured data such as imaging and genetic and medical history to cluster patient traits and infer the probability of certain disease outcomes. Also, natural language processing methods are applied to extract information from unstructured data such as clinical notes and medical journals to supplement structured medical data. By sifting through massive amounts of medical information and making connections between disparate data sources, this system can generate and test novel hypotheses and facilitate their interpretation in a myriad of healthcare scenarios.
In oppressive governments or companies, these systems may be used to deliberately retain pay gaps or even automate the harassment of female workers.
Potential to overcome cultural and social norms, which can entail gender biases in education, business, etc.
Gender-sensitive advisory services for vocational training actors due to recurring data collection.