Smart Healthcare in the Age of AI: Recent Advances, Challenges, and Future Prospects IEEE Journals & Magazine
Additionally, the “black box” nature of many AI models makes it difficult to understand how they arrive at their conclusions, which hinders trust and adoption 7. Healthcare systems across the globe face a multitude of challenges, including administrative inefficiencies, diagnostic errors, high costs, and a shortage of skilled professionals 29. AI holds promise for alleviating many of these challenges, but several shortcomings must be addressed before its potential can be fully realized 30. XAI can empower biomedical professionals to take responsibility for their decisions, which requires the use of clear methods. Monitor health over time. This capability facilitates real-time decision-making,…
