AIMC Topic: Pilot Projects
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Artificial Intelligence for Otosclerosis Detection: A Pilot Study.
Journal of imaging informatics in medicine
Jun 26, 2024
The gold standard for otosclerosis diagnosis, aside from surgery, is high-resolution temporal bone computed tomography (TBCT), but it can be compromised by the small size of the lesions. Many artificial intelligence (AI) algorithms exist, but they ar...
Comparison of image quality between Deep learning image reconstruction and Iterative reconstruction technique for CT Brain- a pilot study.
F1000Research
Jun 26, 2024
BACKGROUND: Non-contrast Computed Tomography (NCCT) plays a pivotal role in assessing central nervous system disorders and is a crucial diagnostic method. Iterative reconstruction (IR) methods have enhanced image quality (IQ) but may result in a blot...
The Impact of an Artificial Intelligence Certificate Program on Radiology Resident Education.
Academic radiology
Jun 21, 2024
RATIONALE AND OBJECTIVES: The objective of this study was to evaluate the effectiveness of a pilot artificial intelligence (AI) certificate program in aiding radiology trainees to develop an understanding of the evolving role and application of artif...
Comparison of the use of a clinically implemented deep learning segmentation model with the simulated study setting for breast cancer patients receiving radiotherapy.
Acta oncologica (Stockholm, Sweden)
Jun 20, 2024
BACKGROUND: Deep learning (DL) models for auto-segmentation in radiotherapy have been extensively studied in retrospective and pilot settings. However, these studies might not reflect the clinical setting. This study compares the use of a clinically ...
A pilot randomized trial of automatic, artificial intelligence-based vs manual, electronic medical record-based remote postpartum blood pressure monitoring.
American journal of obstetrics and gynecology
Jun 14, 2024
Artificial Intelligence Imaging Diagnosis Using Super-Resolution and Three-Dimensional Shape for Lymph Node Metastasis of Low Rectal Cancer: A Pilot Study From a Single Center.
Diseases of the colon and rectum
Jun 11, 2024
BACKGROUND: Although accurate preoperative diagnosis of lymph node metastasis is essential for optimizing treatment strategies for low rectal cancer, the accuracy of present diagnostic modalities has room for improvement.
Humans
Artificial Intelligence
Retrospective Studies
Female
Aged
Adult
Sensitivity and Specificity
Predictive Value of Tests
Pelvis
Rectal Neoplasms
Lymph Nodes
Multidetector Computed Tomography
Male
Adenocarcinoma
Proctectomy
Middle Aged
Lymphatic Metastasis
Pilot Projects
Lymph Node Excision
Imaging, Three-Dimensional
Exoskeleton rehabilitation robot training for balance and lower limb function in sub-acute stroke patients: a pilot, randomized controlled trial.
Journal of neuroengineering and rehabilitation
Jun 8, 2024
PURPOSE: This pilot study aimed to investigate the effects of REX exoskeleton rehabilitation robot training on the balance and lower limb function in patients with sub-acute stroke.
Assessment of an AI-based tool for population-wide collection of placental morphological data.
European journal of obstetrics, gynecology, and reproductive biology
Jun 1, 2024
OBJECTIVES: Automated placental assessment could allow accurate and timely morphological/pathological measurements at scale. We undertook a pilot study using an artificial intelligence-based assessment system (AI-PLAX) to ascertain the potential of a...
Prediction of vitreomacular traction syndrome outcomes with deep learning: A pilot study.
European journal of ophthalmology
May 29, 2024
PURPOSE: To investigate the potential of an Optical Coherence Tomography (OCT) based Deep-Learning (DL) model in the prediction of Vitreomacular Traction (VMT) syndrome outcomes.
Machine learning-based preoperative analytics for the prediction of anastomotic leakage in colorectal surgery: a swiss pilot study.
Surgical endoscopy
May 22, 2024
BACKGROUND: Anastomotic leakage (AL), a severe complication following colorectal surgery, arises from defects at the anastomosis site. This study evaluates the feasibility of predicting AL using machine learning (ML) algorithms based on preoperative ...
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