Artificial intelligence (AI) has demonstrated its effectiveness and assistance in the medical field with massive data mining, record keeping, and diagnosis. However, multiple challenges withhold the practical use of AI to its true potential and call to process a safe and regulated framework for its implementation. Ascertaining the challenges in the use of AI will not only strengthen its practicality but will prevent any infiltration that could otherwise prove catastrophic owing to its cognitive and deep learning capabilities. Major challenges and obstacles in using AI 1.
Ethics Data ethics and protection: With algorithm-based machine learning, AI can access massive health data from healthcare professionals. The patients ideally hold ownership of their health records, but the possibility of unconsented large data transactions is alarming. In addition, data collection requires…
