Applications of AI Techniques in Health Care and Well-Being Systems

It is becoming increasingly clear that bioinformatics, genomics, and image analysis are three areas of health care where Artificial Intelligence (AI) has been utilised to analyse complex and large volumes of data to provide outputs without requiring human input. Due to numerous safety issues, there may be challenges and hazards in the use of this technology even though there may be chances for improvement in the diagnosis and treatment procedures. This article explores the potential and difficulties of AI in health care and its effects on patient safety. This study shows that in order to produce safer technology through AI, the key techniques are safety reserves’ safe design, safe fail, and procedural protections, whilst risk, uncertainty, and cast should be considered for all conceivable technical systems. In order to create and use safer AI applications in the healthcare setting, it is also recommended that certain guidelines and standards can be created and communicated to all stakeholders.