Results 181 to 190 of about 177,321 (324)

Garden classification of femoral neck fracture using deep-learning algorithm. [PDF]

open access: yesSci Rep
Yang J   +6 more
europepmc   +1 more source

Sculpting the Future of Bone: The Evolution of Absorbable Materials in Orthopedics

open access: yesAdvanced Materials, Volume 38, Issue 9, 12 February 2026.
This review summarizes the current status of polymeric, ceramic, and metallic absorbable materials in orthopedic applications, and highlights several innovative strategies designed to enhance mechanical performance, control degradation, and promote bioactivity. We also discuss the progress and translational potential of absorbable materials in treating
Zhao Wang   +13 more
wiley   +1 more source

Deep learning for pediatric femoral neck fracture detection in a multicenter study. [PDF]

open access: yesiScience
Chen X   +14 more
europepmc   +1 more source

Esketamine/Ketamine: Dual‐Action Mechanisms and Clinical Prospects beyond Anesthesia in Psychiatry, Immunology, and Oncology

open access: yesAdvanced Science, Volume 13, Issue 7, 3 February 2026.
Esketamine and ketamine are widely used for perioperative analgesia and anesthesia. Despite their established roles in analgesia, sedation, and anesthesia, as well as emerging antidepressant, anti‐tumor, and anti‐inflammatory effects, their clinical use is limited due to side effects and addiction potential.
Yinxin Wang   +7 more
wiley   +1 more source

An Atypical Femoral Neck Fracture. [PDF]

open access: yesJCEM Case Rep
Eden-Friedman Y   +2 more
europepmc   +1 more source

The Use of Micro‐CT Analysis of the Second Metacarpal to Assess Cortical Bone Loss in Archeological Human Skeletal Remains

open access: yesAmerican Journal of Biological Anthropology, Volume 189, Issue 2, February 2026.
ABSTRACT Objectives The assessment of cortical bone loss in archeological populations can give insights into past lifeways and bone health. The second metacarpal index (MCI) is assessed via radiogrammetry to quantify cortical thickness. However, as this method is limited to a single‐point measurement, this study explores the use of micro‐computed ...
Luisa Leiss   +2 more
wiley   +1 more source

Machine learning methods for predicting adverse drug events: A systematic review

open access: yesBritish Journal of Clinical Pharmacology, Volume 92, Issue 2, Page 422-444, February 2026.
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo   +8 more
wiley   +1 more source

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