Over 415 million people globally have either type I or II diabetes. The total is expected to reach 600 million by 2040. It is a heavy burden to the healthcare system, costing over $240 billion a year in the United States alone. It is a condition which largely needs to be managed by the individual, testing and managing glucose levels to maintain the appropriate amount of sugar in his or her blood. Over time, high blood sugar can lead to cardiac disease, lost limbs, renal failure and blindness.
Medtronic recognized the need to provide tools for diabetes to manage their diabetes more easily than regular finger sticks. They already market continuous glucose meters and insulin pumps to help patients manage their condition on a daily
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In 2013, IBM told Forbes that it would be tackling clinical trials and be in use with patients within months. After four years with M.D. Anderson, it had not produced any tool ready to go beyond pilot testing.
For all its complexities, Watson can not exist without being fed knowledge by humans. To learn how to make a cancer diagnosis, it must be programmed with thousands of cancer diagnoses. If there is an anomaly that has never been seen before, Watson will not necessarily have the capability to solve it. Missing or incompatible data could seriously skew a result. This is not a problem unique to Watson; all healthcare applications of machine learning suffer from this dilemma. https://www.technologyreview.com/s/607965/a-reality-check-for-ibms-ai-ambitions/
Another problem resulting from the information fed to Watson is bias. For example, all of the software being tested in 30 cancer centers worldwide was programmed by Memorial Sloan Kettering Cancer Center. MSK is an American company which manages highly complex cancer cases, primarily for the affluent. Although it is a premiere cancer center, the solutions they would implement may not be appropriate in a country with different types of insurance coverage, or different levels of disease prevalence.
The most obvious answer to reduce treatment bias is to enter more global information. However, that exposes yet another problem with Watson. Either the EHR system needs to be compatible with Watson’s
Diagnostic capabilities has been the most widely praised use of AI in healthcare over the last 6 months.
Diabetes is a lifelong disease that can affect both children and adults. This disease is the sixth leading cause of death in the United States. It claims about 178,000 lives each year. Type one diabetes, also known as insulin dependent diabetes mellitus, usually occurs in people less than thirty years of age, but it also may appear at any age. Diabetes is a very serious disease with many life threatening consequences, but if it is taken care of properly, diabetics can live a normal life.
Nearly 16 million people in the United States have diabetes, the disease classified as a problem with insulin. The problem could be that your body does not make insulin, does not make enough, or it simply does not know how to use it properly. Diabetes is also known as "diabetes mellitus".
This can be a big problem using the same type a treatment to patients because not all patient will have the same medical outcome. By having all patient medical information doctors can easily and more accurately help diagnosis and treat patients. The impact of only using available information that has been successful in previous patient is that it will not produce new methods to treat a medical condition since no one is examining new research or conducting trials anymore because they are only relying on searchable information. The podcast done by Amy Standen about big data not a cure all in medicine, gives an example of a successful story using searchable data on a girl with lupus which this disease usually affects the immune system and in her case, it affected her kidney. Doctors where successful in treating the patient, but because lupus affect other part of the body and the cause of the disease is unknown it is crucial for continues medial investigation to understand and prevent this
We were able to find a few relevant statistics from Diabetes Canada and Research2Guidance. Since there is a lack of information on the number of devices and apps used by people suffering from diabetes in Canada, we provided you with the average spending on healthcare and the average spending on devices and drugs in Canada. We have updated rows 54 – 60 of the spreadsheet with all the relevant information.
we eat, a lot of the food is broken into sugar. Insulin allows the sugar to
Special cells in the pancreas produce a hormone called insulin to regulate metabolism. When this hormone is not present glucose cannot enter body cells and blood glucose levels rise. Hyperglycemia may result from this situation. This process is the development of diabetes mellitus. Type 1 diabetes, formerly called juvenile diabetes or insulin dependent diabetes mellitus, has two forms; immune-mediated and idiopathic. Type 1 diabetes accounts for 5-10% of cases in the United States. Research has shown that there is an inherited tendency for developing the disease; it may be triggered by environmental factors (Rosdahl & Kowalski, 2008). It also has an autoimmune component since antibodies to insulin and islet cells are present at the time of
Clinical diagnosis of diabetes used to be based only on elevated fasted blood glucose levels ( > 7 mmol/L) or more than 11.1 mmol/L after 2 hours after an oral glucose tolerance test. Nowadays HbA1c (also known as haemoglobin A1c or glycated haemoglobin) blood measurements are more frequently used in clinical practices as a bio-marker of glucose control over a longer period of time (last 8 - 12 weeks) and it also correlates with microvascular complications that can be related to diabetes. It is considered to be more reliable as there is less variability within the measurement, however it should be used with cautious in patients that suffer from any condition that may affect red cell turnover or renal impairment as the reading can be
have regular eye exams at least once a year by an ophthalmologist to make sure
Diabetes is a chronic condition in which the body produces too little insulin (Type One Diabetes) or can’t use available insulin efficiently ( Type Two Diabetes). Insulin is a hormone vital to helping the body use digested food for growth and energy.
Diabetes has been out for thousands of years and still no cure. researchers and scientist have been searching and searching for ways to overcome this disease but nothing yet. Everyone goals are to either improve, prevent, or cure this disease. Diabetes became very known around the seventeenth century because of a high percentage of people was found with sugar in their urine and blood. Diabetes is one of the fastest growing diseases that affects our society worldwide. The average person in this world does not know anything about this disease. The diabetes association said “In 2013 the estimate of 328 million people had diabetes throughout the world”. Society today need to be aware of what we are up against with this disease.
Diabetes Mellitus is a debilitating disease that basically sucks the energy out of a person. This is caused by the failure of a person pancreas’s to produce valuable hormone called insulin. This failure in part causes a persons blood sugar level to be unbalanced, causing reduction in energy and maybe even nerve damage. In addition to this, diabetes can also be a major cause of adult blindness, the losing of maybe a foot or a finger, kidney failure, and a whole plethora of adverse effects to a person. Insulin is the one hormone that distributes the sugar energy to the other cells of the body. Diabetes is a chronic illness meaning that it will last a lifetime. There is currently no cure for Diabetes. Let us go into what
Nowadays, an increasing demand of consumption foods rich in antioxidant compounds can prevent many diseases such as cardiovascular diseases, certain types of cancer and type 2 diabetes and promote good health (Temple 2000; Kwon et al. 2007). Non-communicable chronic diseases (NCDs) such as type 2 diabetes (T2D) are rising rapidly worldwide due to lifestyle and diet chances (Mishra et al. 2017). In North America these diseases disproportionately affect certain indigenous communities, who also have high prevalence of obesity in all age groups and in both sexes (Kwon et al. 2007).
The exact causes of the incidence rates of both types of diabetes (T1DM and T2DM) are not completely understood. The complex picture is possibly related to the combination of an individual’s genetic predisposition, gene-nutrient interactions, epigenetic programing, gut microbiome and the association of nutrients. Due to the compound genetic view of T2DM, the function of nutrients and dietary patterns in the etiopathogenesis of this disease will most likely be multifactorial at the molecular level (Berna et al., 2014).
One of the most important tasks now facing developers of AI-based systems is to accurately characterize aspects of medical practice that are best suited to the introduction of artificial intelligence systems. The complex systems we see today are not going to replace doctors, but merely assist them. There has been many