1) Doctors are trained to think from general to specific when diagnosing patients. They first consider broad possible causes of symptoms before testing for and ruling out specific diseases.
2) Diseases are often categorized into dualities like obstructive vs restrictive lung diseases to help narrow down diagnoses.
3) Prior probabilities and Bayes' theorem show how additional contextual information from a patient's history and exam can increase certainty about a diagnosis by affecting conditional probabilities. The diagnostic process relies on accumulating various data points.