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Artificial Intelligence
| Content Provider | Scilit |
|---|---|
| Author | Tyagi, Yash Sharma, Pardeep Kumar |
| Copyright Year | 2021 |
| Description | The emerging approach of artificial intelligence (AI) has successfully triggered a paradigm shift in pharmaceutical organizations and healthcare sectors with their potential to transform different aspects of healthcare delivery as well as to analyze medical data. AI is being employed in clinical laboratories and hospitals to provide a data-driven clinical decision support (CDS) to physicians and administration. AI has a wide spectrum of potential in the pharmaceutical industry, from drug trials to marketing and sales analytics. Additionally, in the medical field, AI can aid to reduce unavoidable therapeutic and diagnostic errors especially in high burden diseases such as cancer, heart stroke, and neurological disorders. Thus, the application of AI approaches can save the time spent on analyzing data, can increase revenue potential, and can allow researchers to focus on other new emerging applications too. Book Name: Artificial Intelligence |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003095910-6&type=chapterpdf |
| Ending Page | 92 |
| Page Count | 22 |
| Starting Page | 71 |
| DOI | 10.1201/9781003095910-6 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2021-06-19 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Artificial Intelligence Information Systems Biomedical Engineering Pharmaceutical Emerging Potential Approaches Analyze Medical Increase Revenue |
| Content Type | Text |
| Resource Type | Chapter |