Does Amsterdam criteria applied to largely unsubmitted term placentas with favorable fetal outcomes show significant maternal clinicopathologic correlation?

Objectives: Before the Amsterdam Placental Workshop Group Consensus Statement, standardization in placental pathology assessment did not exist. This study evaluated the Amsterdam criteria's utility in correlating ischemic placental disease (IPD) with placental pathologic lesions in a cohort of largely unsubmitted term placentas with favorable outcomes.

Methods: In this prospective case-controlled study at a single institution, all placentas were examined using Amsterdam protocols for gross sampling and microscopic review by 2 reviewers who were blinded to clinical history.

Correction: A pragmatic parallel arm randomized-controlled trial of a multi-pronged electronic health record-based clinical decision support tool protocol to reduce low-value antipsychotic prescriptions among older adults with Alzheimer's and related dementias.

[This corrects the article DOI: 10.1371/journal.pone.

Suitability of large language models for extraction of high-quality chemical reaction dataset from patent literature.

With the advent of artificial intelligence (AI), it is now possible to design diverse and novel molecules from previously unexplored chemical space. However, a challenge for chemists is the synthesis of such molecules. Recently, there have been attempts to develop AI models for retrosynthesis prediction, which rely on the availability of a high-quality training dataset.

Proactive care management of AI-identified at-risk patients decreases preventable admissions.

Objectives: We assessed whether proactive care management for artificial intelligence (AI)-identified at-risk patients reduced preventable emergency department (ED) visits and hospital admissions (HAs).

Study Design: Stepped-wedge cluster randomized design.

Methods: Adults receiving primary care at 48 UCLA Health clinics and determined to be at risk based on a homegrown AI model were included.