Flow-Based Spatio-Temporal Structured Prediction of Motion Dynamics.

Conditional Normalizing Flows (CNFs) are flexible generative models capable of representing complicated distributions with high dimensionality and large interdimensional correlations, making them appealing for structured output learning. Their effectiveness in modelling multivariates spatio-temporal structured data has yet to be completely investigated. We propose MotionFlow as a novel normalizing flows approach that autoregressively conditions the output distributions on the spatio-temporal input features.

Efficacy of Antidepressants in the Treatment of Obstructive Sleep Apnea Compared to Placebo. A Systematic Review with Meta-Analyses.

Purpose: To establish the efficacy of oral antidepressants compared to placebo in improving obstructive sleep apnea (OSA) as measured on a polysomnography study. Secondary outcomes included self-reported sleepiness.

Methods: Authors identified prospective randomized placebo-controlled studies from MEDLINE through PubMed, Web of Science, the Cochrane Library and EMBASE up to February 2019 in English language.

Maintaining low non-neoplastic polypectomy rates in high-quality screening colonoscopy.

Background And Aims: Non-neoplastic polypectomies (NNPs) add pathology and procedural costs but do not reduce cancer risk and should be minimized. We sought to define the minimal non-neoplastic polypectomy rate (NNPR) for those colonoscopists achieving high-quality colorectal cancer screening based on adenoma detection rates (ADRs).

Methods: NNPRs for colonoscopists achieving high-quality adenoma detection rates were reported to determine minimal NNPR goals.