Artificial intelligence (AI) has the potential to significantly alter the role of physicians and revolutionize the practice of medicine. This qualitative evaluation article summarizes the past 12 months of AI health research across a variety of medical specialties and discusses the current strengths and challenges associated with this emerging technology.
Physicians, especially those in leadership roles, need to be aware of the pace of progress of AI in health so that they are ready to lead the adoption of needed changes in the health system. Key point: "AI has now been shown to be as effective as humans in diagnosing a wide range of diseases, and in some cases, more effective."
When it comes to predicting suicide attempts, recent research suggests AI is better than humans. "AI's current strength lies in its ability to learn from large data sets and recognize patterns that can be used to diagnose conditions, putting it in direct competition with the medical specialties involved in diagnostic tests that involve pattern recognition, such as pathology and radiology."
The challenges that AI currently faces include legal liability and attribution of negligence when an error occurs, as well as the ethical issues related to patient choice.
AI systems can also develop or learn biases along with biases that need to be recognized and mitigated. As physicians and health leaders, we need to start preparing the profession to work with AI and potentially be replaced by AI and advanced robotic systems in the future. Putting it in direct competition with medical specialties that involve diagnostic tests for pattern recognition, such as pathology and radiology. challenges that AI currently faces include legal liability and attribution of negligence when errors occur, as well as ethical issues related to patient choice.
The current level of development of AI is not really based on a medical grasp of how the brain works, which is currently poorly understood by medicine. So AI is now being developed through a pathway that works differently than the human brain, and the results can be as good as the human brain works.