Deadline for Abstract Submission:
19 September 2022
Deadline for Early-Bird Registration:
19 October 2022

Speakers

Dr. King-Chung CHAN
Former Head of Intensive Care Unit
New Territories West Cluster
Tuen Mun Hospital
Hong Kong


Dr Kenny Chan served as the head of intensive care at the New Territories West Cluster and led the development of an ICU information system for fifteen public hospitals. His passion is boosting patient care standards through innovation and technology. He pioneered multiple areas of health care innovation in Hong Kong, including intensive care informatics, simulation training, and extra-corporeal membrane oxygenation. To pursue his passion, he is doing a full time master’s program about Management in Artificial Intelligence. Apart from his clinical training, he has master's degrees in biomedical engineering, statistical science, and professional certifications in information security management. He had served as the founding director of the Nethersole Clinical Simulation & Training Centre, a regional faculty for the American Heart Association's resuscitation training, the first vice-chairman of the Resuscitation Council of Hong Kong, and the chairman of the Hong Kong Society of Critical Care Medicine.


Abstract
Artificial Intelligence in Anesthesia

Artificial intelligence (AI) is a rapidly evolving area of research that has the potential to revolutionize many aspects of healthcare, including anaesthesia and intensive care. There are many potential benefits of using artificial intelligence in medicine. One advantage is that machines can process large amounts of data much faster than humans, making it easier for healthcare providers to identify trends in patient outcomes or diagnostic options. This could help to improve clinical decision-making and reduce error rates.

One area of particular interest in AI is the use of machine learning algorithms to predict complications and drug dosage. For example, researchers have used these algorithms to predict the development of postoperative complications or drug dosage. Other applications of AI care include robotics, which can be used to control infusion pumps; computer vision, which can assist with ultrasonography; and automation, which can help to manage operating room scheduling. Finally, natural language processing is another important area of AI that has the potential to improve user interfaces in healthcare settings.

Although AI demonstrates great potential for improving clinical decision-making, concerns have been raised about its wider implications. For time-critical decisions, anaesthesiologists may be concerned that reliance on automated algorithms could delay important interventions that a human being would have otherwise made. In addition, people are troubled by the possibility of creating machines capable of making life-or-death decisions without any input from a human operator. As a result of these concerns, there has been much debate around the ethical challenges associated with using artificial intelligence in medicine.


 

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