Utilization of Machine Learning Technologies in Emergency Department Settings: A Comprehensive Review

• by Banafshe Hosseini, Atushi Patel, Megan Landes, Samuel Vaillancourt, Muhammad Mamdani, Kevin Maruthananth, Neha Matharu, Zuha Pathan, Krishihan Sivapragasam, Onlak Ruangsomboon, Becky Skidmore, Andrew D Pinto

• January 1, 2026

The yield of chest X-ray or ultra-low-dose chest-CT in emergency department patients suspected of pulmonary infection without respiratory symptoms or signs

• by Inge A. H. van den Berk, Emile H. Lejeune, Maadrika M. N. P. Kanglie, Tjitske S. R. van Engelen, Wouter de Monyé, Shandra Bipat, Patrick M. M. Bossuyt, Jaap Stoker, Jan M. Prins

• April 28, 2023

Hospitals, Custody, and the Missing Patient

As detained patients enter hospitals, access to care, communication, and advocacy becomes unclear.

• by Claudia Boyd-Barrett

• January 30, 2026

• 11 min

AI Scribes: Efficiency for Whom?

Unresolved safety, privacy, and regulatory concerns may limit benefits of AI scribes for physicians and patients.

• by Kathryn Wighton

• January 27, 2026

• 3 min