Be first to read the latest tech news, Industry Leader's Insights, and CIO interviews of medium and large enterprises exclusively from Medical Tech Outlook
THANK YOU FOR SUBSCRIBING
By
MedTech Outlook | Tuesday, October 25, 2022
Artificial Intelligence can use in medicine to make advanced inferences based on a vast amount of organized data and resources.
FREMONT, CA: Maintaining blood glucose requires appropriate nutrition. Multiple software tools evaluate diets and provide nutrition information to help patients make good meal choices. Deep Learning and remote communications analyze patient food photos for nutrient consumption. This help resembles nutritionist visits. This technology improves diabetic dietary intervention and reduces expert workload. Active lifestyles help control and prevent diabetes. AI-based decision assistance software uses machine learning. This thinking shift helps in maintaining weight and reducing diabetes risk. AI applications in the diagnosis and treatment of diabetes primarily involve four areas:
Stay ahead of the industry with exclusive feature stories on the top companies, expert insights and the latest news delivered straight to your inbox. Subscribe today.
Automatic retinal screening: The technique automatically assesses the presence or absence of diabetic retinopathy by evaluating fundus images. The IDx-DR device produced by Digital Diagnostics is an example of such a device. This technology facilitates diabetic retinopathy screening and diagnosis without an ophthalmologist.
Support for clinical diagnosis: Rather than being only support systems, AI technologies are imitating the techniques of a specialist's treatment. For instance, Advisor Pro, made by DreaMed Diabetes, delivers glucose monitoring and self-monitoring data to a server in the cloud. This information utilizes to determine and propose the need for remote insulin dose modifications. Later, physicians can analyze these ideas and notify patients accordingly. These AI-powered medical gadgets replace diabetic doctors in terms of insulin therapy fine-tuning.
Patient self-management: Tools record and interpret biometric data and alert patients to enhance blood glucose control. Similar to this is the Guardian Connect System developed by Medtronic. It includes a smartphone application that predicts hypoglycemia episodes and warns the patient. The signal is 98.5 percent accurate and sounds 30 minutes before the onset of hypoglycemia. The patient can then take the essential preventative drugs.
Risk stratification: This category of AI application is being used in diagnosis and treatment diabetes. It helps identify individuals from the general population prone to developing a specific disease at the pre-illness stage. It will facilitate the implementation of medical intervention extremely early, reducing difficulties.
More in News
I agree We use cookies on this website to enhance your user experience. By clicking any link on this page you are giving your consent for us to set cookies. More info
