Sustainable Assessment of Advanced Machine Intelligence in Clinical Safety
- Title
- Sustainable Assessment of Advanced Machine Intelligence in Clinical Safety
- Creator
- Asutosh B.; Sahoo B.; Sharma V.; Al-Jawahry H.M.
- Description
- There is growing acknowledgment that artificial intelligence (AI) is being used to evaluate complex and vast volumes of data, producing findings without human input, in a variety of healthcare contexts, including image analysis, bioinformatics and genomics. Although this technology can offer opportunities in the diagnostic and therapeutic process, various safety-related difficulties and traps can still exist. To shed light on these opportunities and challenges, this article addresses the use of AI in healthcare and its security consequences. To deliver safer technology through AI, this research explores the cost implications of all potential technological systems, while design safety, failure safety, procedural security, and safety margins are the primary methods for identifying risks & uncertainties. Additionally, the suggestion involves the identification and distribution of explicit instructions and procedures to all relevant parties, aiming to facilitate the creation and implementation of safer Al applications within healthcare settings. 2023 IEEE.
- Source
- International Conference for Technological Engineering and its Applications in Sustainable Development, ICTEASD 2023, pp. 356-361.
- Date
- 2023-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Al; Excellence; Machine Learning (ML); Patient Well-being; Security
- Coverage
- Asutosh B., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Sahoo B., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Sharma V., CHRIST (Deemed to Be University), Delhi NCR, India; Al-Jawahry H.M., The Islamic University, College of Technical Engineering, Najaf, Iraq
- Rights
- Restricted Access
- Relation
- ISBN: 979-835033647-4
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Asutosh B.; Sahoo B.; Sharma V.; Al-Jawahry H.M., “Sustainable Assessment of Advanced Machine Intelligence in Clinical Safety,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/19626.