Investigation Of Market Need For An Artificial Intelligence Software To Detect Alzheimer’s Disease

Abstract

Alzheimer's disease has become a global public health challenge in recent years, with the early diagnosis of the disease in developing countries presenting obstacles due to a lack of qualified medical staff, standardized examination parameters, and difficulties in MRI brain image analysis. This study aims to explore the feasibility of leveraging artificial intelligence (AI) technology to improve the accuracy and timeliness of Alzheimer's detection in developing countries. Specifically, the study investigates the attitudes of medical professionals towards an AI tool for early and accurate diagnosis of Alzheimer's disease. It includes market research to determine the demand for such a tool, as well as the potential market size and competition. Additionally, a prototype will be developed to test the effectiveness of the AI tool, and a business plan will be created to determine the feasibility of commercializing the tool. Results from the three market research investigations reveal a high potential for developing an AI software that can accurately detect Alzheimer's disease, and the second prototype has been built. Market penetration and fundraising activities are ongoing. However, the use of AI in Alzheimer's detection also raises potential drawbacks, including concerns about data privacy and the need for continued human oversight. The study concludes by discussing the merits and drawbacks of using AI technology in Alzheimer's detection. While there are challenges to be addressed, the development of an effective AI tool could have significant benefits for patients and healthcare providers in developing countries. Ongoing research and development in this area will be crucial to ensuring that AI is used ethically and effectively to improve healthcare outcomes.