Large Language Model-Based Patient Simulation to Foster Communication Skills in Health Care Professionals: User-Centered Development and Usability Study. [PDF]
Elhilali A +3 more
europepmc +1 more source
Family dyads, emotional labor, and holding environments in the simulated encounter: co-constructive patient simulation as a reflective tool in child and adolescent psychiatry training. [PDF]
Thomas I +4 more
europepmc +1 more source
From Rigid to Soft Robotic Approaches for Neuroendoscopy
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday +3 more
wiley +1 more source
Economic Evaluation of NHS England's Type 2 Diabetes Path to Remission Pilot Scheme: Evidence From Real-World Data and Patient Simulation Modelling. [PDF]
Martin A +5 more
europepmc +1 more source
Gaps in the Care of Pulmonary Hypertension: A Cross-Sectional Patient Simulation Study Among Practicing Cardiologists and Pulmonologists. [PDF]
de Belen E +6 more
europepmc +1 more source
This article introduces a soft wearable eyelid sling device incorporating a hydraulic soft artificial muscle (SAM) for achieving complete closure of an eyelid. The SAM is driven by a cam mechanism that provides a displacement profile closely matched with those of a healthy eyelid.
Patrick Pruscino +7 more
wiley +1 more source
Learning Last Hours of Life Care Through Patient Simulation Scenario: Experiences of Medical and Nursing Undergraduate Students. [PDF]
Bernabé SR +6 more
europepmc +1 more source
Virtual trauma patient simulation design using the McGill Simulation Complexity Score (MSCS): a breakthrough in trauma education. [PDF]
Deban M +6 more
europepmc +1 more source
The effects of patient simulations on actors
D H, Naftulin, B J, Andrew
openaire +3 more sources
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy +13 more
wiley +1 more source

