Surgical Robots in Smart Hospitals
by Amit Kumar Tyagi, Khushboo Tripathi, Shrikant Tiwari, V. Hemamalini
20Intelligent Medical Business Assistant: Transforming Hospital Efficiency Through Advanced Analytics
Ahmed A. Esmail1*, Sayed M. Abdallah1, Mohamed A. Elsayed1, Ahmed E. Mohamed1, Mostafa H. Fawzy2, Ahmed Ismail Ebada3,4 and Aya M. Al-Zoghby5,6
1Artificial Intelligence Science, Faculty of Computer Science and Engineering, New Mansoura University, Dakhlia, Egypt
2Biomedical Informatics, Faculty of Computer Science and Engineering, New Mansoura University, Dakhlia, Egypt
3Information Systems Department, Computers and Artificial Intelligence, Damietta University, Damietta, Egypt
4Department of Information, IU Internationale Hochschule GmbH, Berlin, Germany
5Computer Science Department, Faculty of Computers and Artificial Intelligence, Damietta University, Damietta, Egypt
6Faculty of Computer Science and Engineering, New Mansoura University, Dakhlia, Egypt
Abstract
Due to the rapid integration of technologies, such as artificial intelligence, machine learning, and big data into healthcare systems all over the world, these changes have greatly modified operational efficiency and patient outcomes. The majority of the hospitals use different digital health solutions in an easy and safety-accompanying personalized way that offers decisions for enhancements of their operations. While it may be true that the integration of AI and machine learning into the field of medical practices does bring efficiency in care, reduces errors, and cuts costs, equally right here to stay are these practices. ...
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