Healthcare
Efective and Predictive analysis, Emergency assistance
The vast amount of health-related data and medical registers could be digitalized as electronic health registers (EHR) as well as biomedical data selected by medical personnel. Both of them could then be analyzed by machine learning (ML) technologies so as to provide fast and trustworthy insights into patitents' health.
Natural Language Processing (NLP) and Machine Learning (ML) techniques could allow medical personnel to examine the whole of a patient's medical record in real time and by linking it with current signs, symptoms or family conditions; it could detect and develop a treatment to a specific disease before it becomes a more serious threat.
During a sudden medical emergency, the time between the 911 call and the EMT arrival is crucial. In order to increase survival odds; background noise, caller's voice and patient's medical records could be analyzed and then notify emergency personnel about the nature of the emergency and the estimated patient condition.
Embracing A.I. in Healthcare
Welcoming AI into healthcare implies a number of challenges, still, it also can provide multiple benefits. By improving workflow and operations, helping medical and administrative personnel with repetitive tasks, providing users with better and faster answers to their querys, and developing precise therapies and treatments; patients, healthcare services providers and medical researchers can make the most out of it.
We are always available