| Autor: |
Shahwar, Anwar, Syed, Usama, Ahmad, Muazzam, Khan, Mohd, Faheem, Haider, Md., Juber, Akhtar |
| Rok vydání: |
2022 |
| Zdroj: |
Smart Drug Delivery |
| DOI: |
10.5772/intechopen.102768 |
| Popis: |
The healthcare industry is advancing ahead swiftly. For many healthcare organizations, being able to forecast which treatment techniques are likely to be successful with patients based on their makeup and treatment framework is a big step forward. Artificial intelligence has the potential to help healthcare providers in a variety of ways, including patient care and administrative tasks. The technology aims to mimic human cognitive functions, as it offers numerous advantages over traditional analytics and other clinical decision-making tools. Data becomes more precise and accurate, allowing the healthcare industry to have more insights into the theranostic processes and patient outcomes. This chapter is an overview of the use of artificial intelligence in radiology, cardiology, ophthalmology, and drug discovery process. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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