Establishing an accurate diagnosis is crucial in everyday clinical practice. It forms the starting point for decision-making, instance regarding treatment options or further testing. In this context, clinicians have to deal with probabilities (instead of certainties) that are often hard quantify. During diagnostic process, move from probability disease before testing (prior pretest probability)...

This paper proposes Bayes-optimal convolutional approximate message-passing (CAMP) for signal recovery in compressed sensing. CAMP uses the same low-complexity matched filter (MF) interference suppression as (AMP). To improve convergence property of AMP ill-conditioned sensing matrices, so-called Onsager correction term is replaced by a convolution all preceding messages. The tap coefficients a...