The reality is that AI applications can perform some of what doctors do today, but they will not replace most of what doctors do in the foreseeable future (even radiologists). Doctors perform some important duties: help prevent people from getting sick, diagnose what’s wrong when people do, and they provide care and treatment. AI does have an important contribution to make with the first and second of these functions. For example, AI algorithms have proven especially useful in predicting cancer characteristics from imaging or in diagnosing fractures from x-rays. Unsupervised learning algorithms have demonstrated the potential of linking disease risks to genomic biomarkers.
However, even with the further development of these applications, they will not replicate a doctor’s ability to provide care and treatment. The AI output still must be analyzed by someone with domain knowledge; otherwise, trivial data may be interpreted as essential and essential data as trivial. These relationships then have to be translated to actionable clinical management.