AI-powered technologies will take on an increasingly important role in healthcare and medical diagnosis, according to new research published in the Future Healthcare Journal. The potential for medical process advancement through integration of AI and machine learning techniques is practically limitless. AI has also recently proven integral to medication research and development processes. The synthesis of AI-based applications and medical IoT devices promises to revolutionize the medical industry.
Already encouraging are the successful instances of AI technology being used to detect cancer. AI systems are able to identify breast cancer with the same accuracy as the average breast radiologist, as reported by the Journal of the National Cancer Institute. The self-training capabilities of AI networks all but guarantees that performance metrics are on an upward trajectory.
Beyond in many cases bearing the brunt of diagnostic procedure, AI has been used to transform the patient experience and raise the quality of at-home solutions. Deployments that manage high-risk disorders provide comfort and lessen the chance of hospitalization, while also keeping physicians in the know about health indicators, suspicious behaviors, and vital sign patterns. When patient wellbeing is strengthened, it can be easy to overlook the substantial benefits that AI solutions also bring to schedules and budgets.
