| Abstrakt: |
The application of artificial intelligence (AI) in the field of medicine has revolutionised various sectors of the health care system, including robotics surgery, biotechnology, pharmaceutical, evidence-based medicine and advanced research and transplantation techniques. By offering improved 3D imagery of the various organs involved in surgery and perfectly minimising the chances of error, AI aid made complicated surgical procedures more efficient and highly effective, requiring less hands-on. Further, the AI tool helps plastic surgery and aesthetic surgeons in anticipating prognostic surgical markers and post-operative consequences. In addition to enhancing accurate and rapid diagnosis, AI has played a pivotal role in the development and discovery of new drugs. Nevertheless, the application of AI in health care also raises significant challenges and concerns. Incorrect drug recommendations, failure to identify tumours and lesions on imaging modalities and potential bias in data entry and its automatic can risk the life of patients on a large scale. Additionally, breaching patient data privacy may raise concerns about cybersecurity issues, further compromised by growing dependency on AI which can result in massive unemployment. In short, AI has played a pivotal role in health care; however, addressing the in-transparencies is critical to ensure safe, ethical and more effective implementation in the dynamic field of medicine. [ABSTRACT FROM AUTHOR] |
Full text from SpringerLink