Regulatory considerations for medical imaging AI/ML devices in the United States: concepts and challenges.

Purpose: To introduce developers to medical device regulatory processes and data considerations in artificial intelligence and machine learning (AI/ML) device submissions and to discuss ongoing AI/ML-related regulatory challenges and activities.

Approach: AI/ML technologies are being used in an increasing number of medical imaging devices, and the fast evolution of these technologies presents novel regulatory challenges. We provide AI/ML developers with an introduction to U.

A randomized, controlled trial comparing topical steroid application to wet versus dry skin in children with atopic dermatitis (AD).

Background: Soak and smear (SS), a technique whereby a bath is followed by topical corticosteroid (TCS) application to wet skin, is reported to be a beneficial adjunctive therapy for patients with recalcitrant atopic dermatitis (AD).

Objective: We evaluated whether SS is of greater benefit than application of TCS to dry skin for the treatment of childhood AD.

Methods: A randomized, investigator-blinded, controlled study was performed in children with AD.

Extracting laboratory test information from biomedical text.

Background: No previous study reported the efficacy of current natural language processing (NLP) methods for extracting laboratory test information from narrative documents. This study investigates the pathology informatics question of how accurately such information can be extracted from text with the current tools and techniques, especially machine learning and symbolic NLP methods. The study data came from a text corpus maintained by the U.