AIMC Topic: Prospective Studies
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Serum myosin-binding protein c levels: a new marker for exclusion of preterm birth?
Turkish journal of medical sciences
Sep 9, 2023
BACKGROUND/AIM: To evaluate whether there is a relationship between serum myosin-binding protein C (MyBP-C) levels measured in the first trimester and the timing of delivery, and, if a relationship is detected, the potential of this relationship in d...
AI for mammography screening: enter evidence from prospective trials.
The Lancet. Digital health
Sep 8, 2023
A study on the appropriate dose of rocuronium for intraoperative neuromonitoring in Da Vinci robot thyroid surgery: a randomized, double-blind, controlled trial.
Frontiers in endocrinology
Sep 7, 2023
BACKGROUND: This study was to explore the effect of different doses of rocuronium bromide on neuromonitoring during Da Vinci robot thyroid surgery.
Fast deep learning reconstruction techniques for preclinical magnetic resonance fingerprinting.
NMR in biomedicine
Sep 5, 2023
We propose a deep learning (DL) model and a hyperparameter optimization strategy to reconstruct T and T maps acquired with the magnetic resonance fingerprinting (MRF) methodology. We applied two different MRF sequence routines to acquire images of ex...
Robot-assisted pyeloplasty for ureteropelvic junction obstruction: initial experience with the novel avatera system.
World journal of urology
Sep 5, 2023
PURPOSE: This pilot study was designed to interpret the technically specific features of the avatera robotic system and present our initial experience with this novel platform in robot-assisted pyeloplasty (RAP).
Deep learning-based reconstruction can improve canine thoracolumbar magnetic resonance image quality and reduce slice thickness.
Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association
Sep 5, 2023
In veterinary practice, thin-sliced thoracolumbar MRI is useful in detecting small lesions, especially in small-breed dogs. However, it is challenging due to the partial volume averaging effect and increase in scan time. Currently, deep learning-base...
Prospective, multicenter validation of the deep learning-based cardiac arrest risk management system for predicting in-hospital cardiac arrest or unplanned intensive care unit transfer in patients admitted to general wards.
Critical care (London, England)
Sep 5, 2023
BACKGROUND: Retrospective studies have demonstrated that the deep learning-based cardiac arrest risk management system (DeepCARS™) is superior to the conventional methods in predicting in-hospital cardiac arrest (IHCA). This prospective study aimed t...
Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration.
The British journal of radiology
Sep 3, 2023
Multiomics data including imaging radiomics and various types of molecular biomarkers have been increasingly investigated for better diagnosis and therapy in the era of precision oncology. Artificial intelligence (AI) including machine learning (ML) ...
Interpretable artificial intelligence-assisted embryo selection improved single-blastocyst transfer outcomes: a prospective cohort study.
Reproductive biomedicine online
Sep 1, 2023
RESEARCH QUESTION: What is the pregnancy and neonatal outcomes of an interpretable artificial intelligence (AI) model for embryo selection in a prospective clinical trial?
ChatGPT versus human in generating medical graduate exam multiple choice questions-A multinational prospective study (Hong Kong S.A.R., Singapore, Ireland, and the United Kingdom).
PloS one
Aug 29, 2023
INTRODUCTION: Large language models, in particular ChatGPT, have showcased remarkable language processing capabilities. Given the substantial workload of university medical staff, this study aims to assess the quality of multiple-choice questions (MC...
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