Abstract Objectives Fetal responses to auditory stimuli remain a relatively understudied area in prenatal care. This study investigates the effects of personalized fetal music therapy by employing Doppler ultrasound to assess fetal cardiac and hemodynamic responses to specific musical stimuli. By integrating AI-based pattern recognition, we aim to establish a novel framework for prenatal acoustic stimulation that may support neurological development and enhance maternal-fetal bonding. Methods Thirty pregnant participants between 32 and 37 weeks of gestation underwent Doppler ultrasound recordings while exposed to two distinct musical pieces: Brahms ’ Lullaby (representing slow, soothing stimuli) and Mozart ’ s Symphony No. 40 (representing fast, dynamic stimuli). Each session included baseline fetal heart rate (FHR) and Doppler waveform measurements – peak systolic velocity (PS), end-diastolic velocity (ED), and time-averaged maximum velocity (TAMax) – recorded before, during, and after music exposure. AI-driven analysis was used to evaluate heart rate variability and blood flow dynamics, and statistical methods (paired t-tests and ANOVA) were applied to identify significant variations in fetal responses. Results Fetal heart rate significantly decreased during Brahms ’ Lullaby , indicating a calming effect, and increased during Mozart ’ s Symphony , suggesting arousal. Corresponding changes in Doppler waveform metrics reflected stimulus-dependent modulation of fetal cardiovascular function. Conclusions AI-assisted Doppler ultrasound analysis confirms that fetal music therapy modulates cardiac responses based on musical characteristics. These findings establish a foundation for personalized prenatal music interventions with potential benefits for in utero neurological priming and stress reduction.
Andonotopo et al. (Thu,) studied this question.