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We approach photoacoustic tomography in the framework of Bayesian inverse problems. The parameters are treated as random variables, and the probability distribution of the initial pressure is estimated using the measurements, acoustic model and prior information. Point estimates for image reconstruction and evaluation of the reliability of the reconstructed image are computed. We demonstrate the feasibility of the approach with numerical simulations and experimental data.