#Type 2 middle fingers diabetes image skin
#Type 2 middle fingers diabetes image portable

Always wear shoes and socks or slippers, even inside, to avoid injury. Dry your feet completely and apply lotion to the top and bottom-but not between your toes, which could lead to infection. Wash your feet every day in warm (not hot) water. Use a mirror if you can’t see the bottom of your feet, or ask a family member to help.

#Type 2 middle fingers diabetes image skin

Get to the bottom of any foot problems by using a mirror or asking for help.Ĭheck your feet every day for cuts, redness, swelling, sores, blisters, corns, calluses, or any other change to the skin or nails.

Take medicines as prescribed by your doctor.

Get physically active-10 to 20 minutes a day is better than an hour once a week.

Follow a healthy eating plan, including eating more fruits and vegetables and less sugar and salt.

Other good diabetes management habits can help, too: This is one of the most important things you can do to prevent nerve damage or stop it from getting worse. Keep your blood sugar in your target range as much as possible. Early treatment greatly reduces your risk of amputation. When you check your feet every day, you can catch problems early and get them treated right away. If an infection doesn’t get better with treatment, your toe, foot, or part of your leg may need to be amputated (removed by surgery) to prevent the infection from spreading and to save your life. Nerve damage, along with poor blood flow-another diabetes complication-puts you at risk for developing a foot ulcer (a sore or wound) that could get infected and not heal well.

Having diabetes for a long time, especially if your blood sugar is often higher than your target levels.

Blood sugar levels that are hard to manage.

Eventually, this discovery could be used in low- and middle-income countries to help provide access to screening tools where there is limited access to health-care professionals.Anyone with diabetes can develop nerve damage, but these factors increase your risk: The team is now looking to expand to a larger number of patients and broaden the scope to see if the risk of other complications from diabetes can also be assessed. “This proof-of-concept study demonstrates the potential of machine learning for identifying people with microvascular capillary changes from diabetes based on nail fold images, and for possibly identifying those most likely to have diabetes-related complications,” says Shah.

These results were published in the Journal of Diabetes in February of 2023. It resulted in accurately distinguishing between patients who did and did not have diabetes and could predict which patients are at greater risk for developing cardiovascular complications. CREATE’s machine learning experts used a deep learning technique called convolutional neural networks to analyze a total of 5,236 nail fold images, approximately 44 images per participant. The study looked at the capillaries of 120 adult patients with and without type 1 or type 2 diabetes and with and without cardiovascular disease. “Finding the CREATE team’s expertise in-house finally helped us move the project forward.” “We had been seeking partnerships with various external groups to do the machine learning aspects of the projects for quite some time with no success,” says Shah. Then, in 2020, they partnered with HHS’ Centre for Data Science and Digital Health (CREATE) to use artificial intelligence to analyze the images.

#Type 2 middle fingers diabetes image portable

The image is captured through a simple, non-invasive, portable diagnostic test called a capillaroscopy.

The nail fold attaches the nail to the rest of the skin through the protective cuticle. Shah and Gerstein developed a research study using images from the finger’s nail fold. Hertzel Gerstein, an HHS endocrinoligist and recognized leader in diabetes research by the Canadian and American Diabetes Associations. With this device, images can be taken of the capillaries from the finger’s nail fold.ĭuring her research fellowship in 2016, Shah set out to find the answer in partnership with her supervisor Dr.