American Journal Of Psychiatry Audio

Dr. Roy Perlis (Mass General Bringham, Boston) joins AJP Audio to discuss a machine learning model to examine electronic health records in individuals who had recently given birth designed to detect those who might develop postpartum depression.  Afterwards, AJP Editor-in-Chief Dr. Ned Kalin puts the rest of the June issue into context. 00:31     Perlis interview 02:56     Lack of validation in screening methods 04:03     Stumbling blocks on the road to validation 05:10     Synergy between screening scores and machine learning models 06:36     Issues with clinician adoption? 08:44     Administrative burden for running these models 10:38     Current clinical application 12:37     Screening without those with a history of depression 13:48     Limitations 15:30     Future research 17:26     Kalin interview 17:41     Clapp et al. 21:41     Kępińska et al. 25:19     Savitz et al. 25:25     Miller 28:38     Wall et al. Transcript Be sure to let your colleagues know about the podcast, and pleas