Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated Expectations

Key Points

• To critically evaluate the realistic capabilities, practical challenges, and current limitations of machine learning applications in clinical prediction.
• Conceptual perspective assessing emerging technology adoption cycles in medical big data analytics.
• Machine learning in healthcare currently occupies the peak of inflated expectations within the technology hype cycle.
• Effective clinical translation requires a balanced understanding of algorithmic boundaries alongside technical capabilities rather than uncritical adoption.