Artificial intelligence, machine learning, and deep learning in rhinology: a systematic review.

Purpose: This PRISMA-compliant systematic review aims to analyze the existing applications of artificial intelligence (AI), machine learning, and deep learning for rhinological purposes and compare works in terms of data pool size, AI systems, input and outputs, and model reliability.

Methods: MEDLINE, Embase, Web of Science, Cochrane Library, and ClinicalTrials.gov databases.

Recreational marijuana legalization and college student use: Early evidence.

We analyze marijuana use by college undergraduates before and after legalization of recreational marijuana. Using survey data from the National College Health Assessment, we show that students at Washington State University experienced a significant increase in marijuana use after legalization. This increase is larger than would be predicted by national trends.