The potential of Artificial Intelligence to transform healthcare, through the work of both medical professionals and managers in healthcare entities, is becoming increasingly evident as more real-world clinical applications emerge.
Health
Diagnosis and treatment
AI technologies can be used to ease the workload of overburdened physicians. There are a number of repetitive tasks that require a significant amount of time for healthcare professionals. Machine Learning solutions, Deep Learning, allow for the automation of these repetitive and tedious tasks, allowing the medical professional to focus on those tasks that truly benefit from human skills and talent, closer to the patient.
Automation
AI technologies can be used to ease the workload of overburdened physicians. There are a number of repetitive tasks that require a significant amount of time for healthcare professionals. Machine Learning solutions, Deep Learning, allow for the automation of these repetitive and tedious tasks, allowing the medical professional to focus on those tasks that truly benefit from human skills and talent, closer to the patient.
Optimization
Beyond the diagnosis by image recognition, the Artificial Intelligence applies to the optimization of processes. For example, applying semantic and sentimental analysis to testimonials or medical reports, or automatic document classification with Natural Language Processing (NLP), optimization of treatments according to patient profiles or prediction of the need for interventions.
Experiences
Treating the value of data with Machine Learning, Deep Learning, Natural Language Processing and Computer Vision impacts the experience of medical professionals, patients and managers.
