Health Care

From advanced diagnosis and precision medicine to personalized patient care, we develop AI solutions to enable healthcare providers to collect and analyze vast amounts of medical data, identify patterns, and detect anomalies that can help in early disease detection and treatment planning. Other tailored solutions such as chatbots aid in patient communication, improving engagement and reducing the workload on healthcare providers.

In the health care industry, machine learning can be useful for identifying patients who are at risk of certain conditions. Based on anonymous patient data from health care system records, machine learning algorithms can analyse patterns and combinations of lifestyle factors, histories and symptoms to assess how likely someone is to be at risk of a particular condition. A key benefit of this is that it can potentially save time and alert medical professionals to at-risk patients sooner, possibly reducing the severity of the intervention necessary to treat the individual.

Speech recognition is similar to natural language processing but focuses solely on verbal communication from humans. Machine learning can help speech recognition applications to better interpret voice-based inputs from consumers and others. One iteration of this is in virtual assistants in smartphones that can understand requests and other voice-based inputs from users and complete tasks based on these inputs. This can also be useful for dictation software, allowing people to take notes without typing or writing. AI Speech recognition can save great amount of time in health care industry and we are highly expert in devloping AI Speech recognition softwares.