Main body of my Research Essay!

     To begin with, diagnosing diseases in a correct way by a doctor requirements years of medical practice, even after these medics are put under anxiety and stress. Moreover, this can cause delays in life-saving process. Machine Learning (ML) might be helpful in this particular module; it can afford cheaper and more available ways of diagnosis using advanced algorithms. It can be crucial in determining diseases for instance cancer, heart defects or diabetic, these are just few of large number of examples. Furthermore, apart of diagnosing AI may be useful in developing drugs in a faster way, saving a number of money and time, by applying advanced formula with Machine Learning. By using it, numerous billions of molecules can be screened in virtual library. It can also assist in cure discovery by combining genes with diseases or to foresee possible negative side repercussions. (Transforming Drug Discovery Using AI and Automation, 2020) Third point of positive aspects, which Artificial Intelligence can provide in health care, is to personalize treatment for every sick person separately, likewise using external data and research from cases file. (The role of artificial intelligence in precision medicine, 2020)

    When it comes to the negative side of using AI in Medicine, there may be issues with cyber risk, which is one of the most problematic challenges in health care. Hackers are avid to steal or hold for bribe information from medical database. It is assumed that personal health data is worth fifty times more than a financial one on the black market. (Alterson, 2020) Secondly, when technology will be implemented on bigger scale in a wellness program, it may cause a rise of unemployment amid people who work in places such as hospitals, general practice centers and rehabilitation centers. (AI adoption in Healthcare: 10 Pros and Cons | ByteAnt, 2020)

Drug Discovery from Technology Networks. 2020. Transforming Drug Discovery Using AI And Automation. [online] Available at: <https://www.technologynetworks.com/drug-discovery/articles/transforming-drug-discovery-using-ai-and-automation-338301> [Accessed 29 October 2020].

Taylor & Francis. 2020. The Role Of Artificial Intelligence In Precision Medicine. [online] Available at: <https://www.tandfonline.com/doi/full/10.1080/23808993.2017.1380516> [Accessed 29 October 2020].

Alterson, G., 2020. Forbes Insights: Confronting One Of Healthcare’S Biggest Challenges: Cyber Risk. [online] Forbes. Available at: <https://www.forbes.com/sites/insights-intelai/2019/02/11/confronting-one-of-healthcares-biggest-challenges-cyber-risk/#5912235e7b83> [Accessed 29 October 2020].

Byteant.com. 2020. AI Adoption In Healthcare: 10 Pros And Cons | Byteant. [online] Available at: <https://www.byteant.com/blog/ai-adoption-in-healthcare-10-pros-and-cons/> [Accessed 29 October 2020].