Sequential Diagnosis by Computer (Classic Reprint)

Explore how computers can help doctors reason through diagnosis in a realistic, step-by-step way.

This concise overview explains the ideas behind computer-aided diagnosis, including how Bayes rule supports updating a diagnosis as new information arrives.

Designed for readers new to the topic, the discussion contrasts machine reasoning with human judgement and shows why a sequential approach matters. It highlights how a computer can decide which tests to run next, based on current knowledge and the costs of misdiagnosis, while keeping the user in the loop.

• Understand the difference between inference and test selection in computer-aided diagnosis.
• See how probabilities, test costs, and misdiagnosis costs shape decision making.
• Learn, in plain terms, how a sequential testing process can improve diagnostic strategies.
• Get a high-level sense of how experiments compare computer performance to expert judgment.

Ideal for readers curious about the intersection of medicine and computer science, and for those seeking a non-technical introduction to sequential diagnosis.