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Point-Counterpoint: Using Software to Determine the Best Type 2 Diabetes Treatment
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Letter from the Editor
Almost 20 years ago Steve and I put out issue number one of DiabetesInControl. Things were a lot different then and we all had time to read a lot more information. About 10 years ago we started sending out a second weekly newsletter with a little different twist.
This week we are proud to present our 500th issue of this Tuesday’s newsletter, and in keeping with our goal of being timely and a little bit different, we are presenting Part 5 on the use of AI to manage diabetes.
We are offering a different angle from a notable physician who is not in favor of AI for managing patients. Take a look at the point/counterpoint and let me know what you think.
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We can make a difference!
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Dave Joffe
Editor-in-chief
TOP STORIES -- Diabetes News and Research
In the last four issues, we discussed a new software that can go through over 6 million possible treatments using anywhere from 1 to 5 drugs for an effective treatment for type 2 diabetes. Along with determining the best treatment for the patient, it includes the ability to put in what the patient can afford in their budget. Dr. John Interlandi, one of our readers, has submitted a counterpoint to using this software to decide the best treatment options. Dr. Interlandi shares his concerns about the use of AI in medical decision making.
Coronary atherosclerotic plaques can be identified early, but specific risk factors are not fully understood.
Researchers may have found a new way to detect hypertension and diabetes in people with obesity: an alteration in the hypothalamic-pituitary-adrenal (HPA) axis.
Diabetes In Control. A free weekly diabetes newsletter for Medical Professionals. News and information for Medical Professionals.
