Artificial Intelligence (AI) could potentially revolutionize healthcare by offsetting a shortage of doctors, improving diagnostic accuracy, and accelerating medical procedures testing. AI can diagnose over 50 types of eye diseases quickly, making it an excellent tool to help address a global increase in vision impairment.
Furthermore, AI could enhance patients’ data analysis, improving diagnosis accuracy in various medicine areas. However, concerns have been raised about patient data privacy, as AI companies have been accused of using patient data inappropriately. An ideal solution could be found in privacy-protecting technologies such as bitfount, which leaves the data in its original location. Additionally, maximizing clinicians’ employment of AI could maintain patients at the forefront of healthcare considerations. However, the lack of transparency in the AI decision-making process raises accountability concerns. AI can also speed up the testing of new medical devices via virtual trials, reducing both costs and time. AI 2.0, a more sophisticated, knowledge driven AI, is seen as a vital part of healthcare’s future.
