Assessing the documentation of publicly available medical image and signal datasets and their impact on bias using the BEAMRAD tool.

Medical datasets are vital for advancing Artificial Intelligence (AI) in healthcare. Yet biases in these datasets on which deep-learning models are trained can compromise reliability. This study investigates biases stemming from dataset-creation practices.

Missing History: Anarcha, Betsey, and Lucy's Legacy in Gynecologic Textbooks.

The legacy of J. Marion Sims as the "father of gynecology" has become widely controversial among medical professionals and lay public because of ethical concerns surrounding the development of his surgical techniques and his exploitation of enslaved women for his experiments. Notably, in April 2018, the City of New York relocated a commemorative statue of Sims from Central Park following an art commission's investigation of his controversial practices.

From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision support.

Background: Clinical decision-making is increasingly shifting towards data-driven approaches and requires large databases to develop state-of-the-art algorithms for diagnosing, detecting and predicting diseases. The intensive care unit (ICU), a data-rich setting, faces challenges with high-frequency, unstructured monitor data. Here, we showcase a successful example of a data pipeline to efficiently move patient data to the cloud environment for structured storage.

Enzymatic Interesterification of Cold-Pressed Maqui ( (Mol.) Stuntz) Seed Oil and Belly Oil from Rainbow Trout () Through Supercritical CO.

A new antioxidant lipid (AL) was synthesized from rainbow trout () belly oil and cold-pressed maqui (CPM) ( (Mol.) Stuntz) seed oil via enzymatic interesterification using in supercritical CO medium. A Box-Behnken design with 15 experiments was employed, with the independent variables being the following: belly oil/CPM oil ratio (10/90, 50/50, and 90/10, /), supercritical CO temperature (40.

MRI-Based Morphometric Comparison of Lower Leg Muscles and Tendons in Individuals With Medial Tibial Stress Syndrome.

Runners frequently suffer from medial tibial stress syndrome (MTSS), often linked to excessive eccentric muscle contractions causing periosteal traction by the muscles in the deep posterior compartment. However, the effects of MTSS on these muscles and tendons remain underexplored. This study is aimed at investigating changes in muscle and tendon volumes in this compartment, as well as cross-sectional area measurements, using magnetic resonance imaging.