Alzheimer’s disease is one of the most common diseases affecting cognitive processes. According to studies, millions of Alzheimer’s cases go undiagnosed due to the inefficiency of invasive diagnostic procedures as well as the costly treatments that go with them. Alzheimer’s is commonly thought to be a disease that exclusively affects the elderly; however, it may afflict people of any gender or age. With this in mind, it is critical to establish an efficient approach for enhancing cognitive function testing and preventing Alzheimer’s disease from advancing in unrecognized instances.

The Inefficiency of Traditional Assessment Methods

One of the most frequently debated concerns is the fact that diagnosing Alzheimer’s disease using standard procedures would require a significant amount of time and money. As a result, it is acceptable to claim that the current technique is impractical. According to recent findings, this leads to more than half of all Americans not receiving an Alzheimer’s diagnosis on time.

Standard procedures appear to inhibit preventing and treating illnesses on time. The fact that the solitary evaluation technique takes 5 hours and that potential patients may wait up to a few weeks or months for their findings implies that existing approaches are rather outmoded. As a result, AI-powered cognitive function assessment appears to be a cost-effective option that can be done remotely, yielding accurate findings in much less time.

Another major issue is the associated costs, which are somewhat substantial. The average cost of an Alzheimer’s assessment is $5-8000, which is out of reach for a large proportion of the global population. As a result, it is fair to assume that people who have early symptoms such as mild cognitive impairment do not seek medical attention owing to the associated expenditures. The amount of money spent on Alzheimer’s-related operations in 2021 is estimated to be over $250 billion.

Numerous studies, like the FINGER study from 2019 and the Livingston study from 2020, show that timely assessment of cognitive changes and preventative interventions make a significant impact. Thus, increasing the use of remote screening and non-invasive testing might reduce cognitive impairment by 30% and the risk of mild dementia by up to 40%. Remote screening diagnoses are also frequently placed from the perspective of low cost and time efficiency. With that in mind, apps like Cognes have the potential to make a significant difference in the future.

Advantages of AI-Based Assessments

Firstly, we want to talk about the money that can be saved by using AI-based evaluation tools like Cognes. Technology-relevant studies indicate that non-invasive testing is supported by more than 90% of the elderly, who are ready to be tested using novel and time-efficient methods. More than a million individuals are currently waiting to be tested using the non-invasive process as part of research to determine what is the most efficient diagnosis.

The biggest advantage is that potential patients save $10,000 on average when compared to traditional treatments. The AI-based assessment also allows the testing of several patients at the same time. As of now, smartphone applications like Cognes appear to be the greatest remedy for the inefficiencies of traditional in-hospital diagnosis.

As it can be installed on an iOS or Android device, it is a perfect solution for those who do not have the possibility of attending a hospital. In contrast to in-hospital screening, it will save you money and time and provide you with more accurate results, given the use of sophisticated AI-based learning.

The Optimal Form of Function Assessment

Because most standard cognitive evaluation tests aren’t portable, getting a typical diagnosis for Alzheimer’s disease outside of a competent institution is nearly impossible. Thus, a sophisticated smartphone app appears to be the only viable option.

Yes, some critics dispute the effectiveness of the included AI engine, pilot experiments such as those conducted last year suggest the efficiency and accuracy of such a cognitive assessment engine.  Furthermore, cognitive assessment via a smartphone app is available to anyone wondering if they’re at risk of developing Alzheimer’s.

How does Cognes work?

The fact that the traditional methods aren’t as accurate and time-efficient as they once were means that we need to find a suitable solution. Currently, Cognes is considered a viable screening smartphone app. The goal behind smartphone apps like Cognes is to combine cognitive assessment capacity with computer vision. As a result, the app will scan and recognize the tested patient’s facial and brain traits.

It will use the obtained findings, as well as the responses to the appropriate cognitive function questions, to detect Alzheimer\’s disease. The powerful computer vision system is in charge of assessing alterations in cerebral blood flow that may indicate Alzheimer\’s disease. Not only that, but a wide range of medical investigations indicate that significant facial expressions exist. For a few minutes of the exam, computer vision once again records your facial movements.

Trusting Smartphone-Based Cognitive Assessments

Along with the MRI-like technology that scans your facial characteristics and searches for important genetic signs, the broad list of questions for measuring cognitive impairments helps towards the rapid and reliable diagnosis of Alzheimer’s. According to 2020 research, Cognes proved accurate with over 1300 patients who participated in preliminary tests.

It will just take a few minutes of your time. The benefits, on the other hand, are substantial. The app can determine whether or not you have Alzheimer’s disease by detecting whether or not symptoms are present. In the second scenario, you will most likely have a significant advantage over traditional diagnosis since you will be able to take advised actions to avoid dementia, cognitive impairment, and other Alzheimer-related disorders.

Wrap Up

At the end of the day, there are many advantages to using an AI-based cognitive assessment. Apart from the fact that it is cost-efficient and that it can be done remotely, the smartphone app Cognes shows that combining computer vision and extensive cognitive tests is probably the most accurate method to detect Alzheimer’s disease on time and in as little as a few minutes.

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