Koutroulis, at GW SMHS, notes that for many years, computer programs in many medical schools have sorted applications by basic criteria, mostly academic scores, that send some applications to an effective “no” pile and leave others to be reviewed by the admissions committee.

Admissions leaders stress that the AI tools produce recommendations, not decisions, and will be reviewed by staff to confirm that the admissions criteria have been met and to decide whom to invite for interviews.

“This is not something that will replace human review,” Koutroulis says.

AI for screening and pulling applications from the complete pool for a human read. Not for deciding of course. At GW, getting any eyes on the app is a good thing.

While I understand that AI is the future and schools have a right to review applications in the manner they see fit, it is absolutely unacceptable for them to charge $142 for their secondary if all applications (even the ones that will be an automatic no) don’t get human eyes on them.

Schools should have to disclose this in big bold letters on AMCAS and make this information FREE (not hidden behind an MSAR subscription). If I knew earlier, I wouldn’t have bothered applying.

Nobody knows exactly what the black box is and how exactly they process the applications or if it just sits there unread. That’s how it’s been historically though it’s extremely unfair. Only BU has been completely transparent about their whole process. Have not seen many schools taking that path. But it’s definitely a change for GW because this year they seem to be using AI to screen is the message I wanted to share.

Yeah I just wish programs in general were more transparent with applicants. This article has been out since January, so maybe the oversight was on my end as an applicant but I do think schools should disclose their processes on the page when you submit your primary.

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they pretty much hold everybody and then slowly offer interviews, it is not a traditional pre-ii hold like other schools buddy

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