Annotated bibliography · 200 words per article · It needs to be like the sample annotation put below 1. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332220/ 2....

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Gerke, S., Minssen, T. and Cohen, G., 2020. Ethical and legal challenges of artificial intelligence-driven healthcare. In Artificial intelligence in healthcare (pp. 295-336). Academic Press.
The article of Gerke et al. (2020), reviews and summarizes the ethical issues and other legal regulatory challenges, that an artificial intelligence (AI) technology faces after application in the healthcare sector. The authors actively reviewed different countries' trends and strategies such as America and Europe in the field of development of AI. They analyzed the different trends and listed out major primary challenges of implementing AI for clinics and diagnostics. Along with the primary challenges, they gave an overview of the legal challenges faced by the AI developers, clinicians, and government agencies that cannot compromise or compensate for the importance of the doctor-patient relationship.
Achievement of revolutionary medical health care units with reduced misdiagnosis is a breakthrough belief on AI’s implementation in the healthcare sector. Yet, logically up taking off the duties and responsibilities of a doctor or clinician’s skill and interpretation with humane inspection remains a critical analysis without any resolution. The article clearly states the potential issues that advanced analysis and assistance before AI can be implemented for a patient’s care. The AI models which use machine learning (ML) and deep neural networks, work on the synthetic dataset provided by the trainer. The dataset can be either manually created or from the patient’s record. The synthetic creation has lots of biased data which can make an AI unsafe on the grounds...