Artificial intelligence in healthcare: legal and ethical point of view | ||
| Zagazig Journal of Forensic Medicine and Toxicology | ||
| Articles in Press, Accepted Manuscript, Available Online from 08 April 2025 | ||
| Document Type: Review Article | ||
| DOI: 10.21608/zjfm.2025.346016.1209 | ||
| Author | ||
| Shereen Elkhateeb* | ||
| Forensic Medicine and Clinical Toxicology department, Faculty of Medicine, Zagazig University, Egypt | ||
| Abstract | ||
| Artificial intelligence (AI) is a computer program that is designed to initiate specific tasks like a human and, sometimes, better than a human; it may even perform tasks without additional review or involvement by a human. Generative AI models are algorithms that could be trained on and understand data, can produce new data, predict outcomes, and generate human-like text. Nowadays AI has many important applications in the healthcare system. These applications have changed the medical field. AI facilitated the clinician's role by helping him in report preparation. It also helps perform administrative tasks, speeding up data storage and access for health systems. It also improved diagnostic modalities and shared in developing preventive medicine, drug therapy and medical education. Some AI models act under human supervision; others act autonomously. The progressive integration of various AI models into healthcare system in the coming years obligates us to ask about many ethical and legal issues that may face everyday use of AI in healthcare. This is because AI in the healthcare system deals directly with humans and can affect decision-making regarding their diagnosis and treatment. Healthcare data is very sensitive information and should be highly secured. Any data used for machine learning should be preceded by informed consent from corresponding patients. This review article highlights the legal and ethical issues of AI uses in healthcare systems. | ||
| Keywords | ||
| Artificial intelligence; healthcare; legal; ethical issues | ||
|
Statistics Article View: 33 |
||
