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

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