AIMC Topic: Feasibility Studies
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Using a Robot to Address the Well-Being, Social Isolation, and Loneliness of Care Home Residents via Video Calls: Qualitative Feasibility Study.
JMIR formative research
May 8, 2025
BACKGROUND: About 40,000 people are living in Norwegian care homes, where a majority are living with a dementia diagnosis. Social isolation and loneliness are common issues affecting care home residents' quality of life. Due to visitation restriction...
Feasibility of virtual T2-weighted fat-saturated breast MRI images by convolutional neural networks.
European radiology experimental
May 2, 2025
BACKGROUND: Breast magnetic resonance imaging (MRI) protocols often include T2-weighted fat-saturated (T2w-FS) sequences, which support tissue characterization but significantly increase scan time. This study aims to evaluate whether a 2D-U-Net neura...
Critical view of safety assessment in sentinel node dissection for endometrial and cervical cancer: artificial intelligence to enhance surgical safety and lymph node detection (LYSE study).
International journal of gynecological cancer : official journal of the International Gynecological Cancer Society
May 1, 2025
OBJECTIVE: This study aims to evaluate the feasibility of video-based assessment rate of Critical Views of Safety criteria for sentinel lymph node dissection in endometrial and cervical cancer. Goal of these Critical Views of Safety is to help standa...
Application of deep learning techniques for breath-hold, high-precision T2-weighted magnetic resonance imaging of the abdomen.
Abdominal radiology (New York)
May 1, 2025
PURPOSE: To evaluate the feasibility of a high-precision single-shot fast spin-echo (SS-FSE) sequence using the deep learning-based Precise IQ Engine (PIQE) algorithm in comparison with standard SS-FSE for T2-weighted MR imaging of the abdomen, and t...
Feasibility of deep learning algorithm in diagnosing lumbar central canal stenosis using abdominal CT.
Skeletal radiology
May 1, 2025
OBJECTIVE: To develop a deep learning algorithm for diagnosing lumbar central canal stenosis (LCCS) using abdominal CT (ACT) and lumbar spine CT (LCT).
Robotic task specific training for upper limb neurorehabilitation: a mixed methods feasibility trial reporting achievable dose.
Disability and rehabilitation
May 1, 2025
PURPOSE: Robotic devices for upper-limb neurorehabilitation allow an increase in intensity of practice, often relying on video game-based training strategies with limited capacity to individualise training and integrate functional training. This stud...
Preoperative prediction of textbook outcome in intrahepatic cholangiocarcinoma by interpretable machine learning: A multicenter cohort study.
World journal of gastroenterology
Mar 21, 2025
BACKGROUND: To investigate the preoperative factors influencing textbook outcomes (TO) in Intrahepatic cholangiocarcinoma (ICC) patients and evaluate the feasibility of an interpretable machine learning model for preoperative prediction of TO, we dev...
Feasibility of a Machine Learning Classifier for Predicting Post-Induction Hypotension in Non-Cardiac Surgery.
Yonsei medical journal
Mar 1, 2025
PURPOSE: To develop a machine learning (ML) classifier for predicting post-induction hypotension (PIH) in non-cardiac surgeries.
Postoperative Management of Tympanoplasty with ChatGPT-4.0.
The journal of international advanced otology
Jan 27, 2025
Background: Tympanoplasty, essential for repairing tympanic membrane perforations, requires careful postoperative care for successful recovery. However, timely access to healthcare guidance can be challenging, especially in rural or underserved areas...
Leveraging artificial intelligence to promote COVID-19 appropriate behaviour in a healthcare institution from north India: A feasibility study.
The Indian journal of medical research
Jan 1, 2025
Background & Objectives Non-pharmacological interventions (NPI) were crucial in curbing the initial COVID-19 pandemic waves, but compliance was difficult. The primary aim of this study was to assess the changes in compliance with NPIs in healthcare s...
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