AIMC Topic: Feasibility Studies

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Modeling of valve-in-valve transcatheter aortic valve implantation after aortic root replacement using a 3-dimensional artificial intelligence algorithm.

The Journal of thoracic and cardiovascular surgery Jun 29, 2024
OBJECTIVE: Aortic root replacement requires construction of a composite valve-graft and reimplantation of coronary arteries. This study assessed the feasibility of valve-in-valve transcatheter aortic valve implantation after aortic root replacement.
Aged Aged, 80 and over Male Imaging, Three-Dimensional Artificial Intelligence Algorithms Retrospective Studies Female Heart Valve Prosthesis Computed Tomography Angiography Models, Cardiovascular Transcatheter Aortic Valve Replacement Bioprosthesis Treatment Outcome Aortic Valve Prosthesis Design Feasibility Studies Humans
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Knee Angle Estimation from Surface EMG during Walking Using Attention-Based Deep Recurrent Neural Networks: Feasibility and Initial Demonstration in Cerebral Palsy.

Sensors (Basel, Switzerland) Jun 28, 2024
Accurately estimating knee joint angle during walking from surface electromyography (sEMG) signals can enable more natural control of wearable robotics like exoskeletons. However, challenges exist due to variability across individuals and sessions. T...
Knee Joint Walking Feasibility Studies Range of Motion, Articular Cerebral Palsy Knee Humans Wearable Electronic Devices Child Neural Networks, Computer Muscle, Skeletal Female Electromyography Biomechanical Phenomena Male Adolescent
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Motion robust coronary MR angiography using zigzag centric ky-kz trajectory and high-resolution deep learning reconstruction.

Magma (New York, N.Y.) Jun 25, 2024
PURPOSE: To develop a new MR coronary angiography (MRCA) technique by employing a zigzag fan-shaped centric k-k k-space trajectory combined with high-resolution deep learning reconstruction (HR-DLR).
Coronary Vessels Signal-To-Noise Ratio Magnetic Resonance Angiography Feasibility Studies Motion Healthy Volunteers Image Interpretation, Computer-Assisted Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Coronary Angiography Humans Adult Male Middle Aged Algorithms Female
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Improving trunk posture control in children with CP through a cable-driven robotic hippotherapy: A randomized controlled feasibility study.

Gait & posture Jun 20, 2024
BACKGROUND: Many children with cerebral palsy (CP) show impairments in trunk posture control, one crucial factor contributing to impairments in gait and arm manipulation.
Humans Female Cerebral Palsy Torso Equine-Assisted Therapy Robotics Postural Balance Walking Feasibility Studies Male Child, Preschool Child Posture
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Can AI Answer My Questions? Utilizing Artificial Intelligence in the Perioperative Assessment for Abdominoplasty Patients.

Aesthetic plastic surgery Jun 19, 2024
BACKGROUND: Abdominoplasty is a common operation, used for a range of cosmetic and functional issues, often in the context of divarication of recti, significant weight loss, and after pregnancy. Despite this, patient-surgeon communication gaps can hi...
Physician-Patient Relations Feasibility Studies Perioperative Care Abdominoplasty Humans Artificial Intelligence Female Male
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Utilization of artificial intelligence in minimally invasive right adrenalectomy: recognition of anatomical landmarks with deep learning.

Acta chirurgica Belgica Jun 10, 2024
BACKGROUND: The primary surgical approach for removing adrenal masses is minimally invasive adrenalectomy. Recognition of anatomical landmarks during surgery is critical for minimizing complications. Artificial intelligence-based tools can be utilize...
Laparoscopy Robotic Surgical Procedures Feasibility Studies Adrenalectomy Deep Learning Adrenal Gland Neoplasms Minimally Invasive Surgical Procedures Anatomic Landmarks Adrenal Glands Vena Cava, Inferior Humans Artificial Intelligence Female Male Middle Aged
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Pairwise machine learning-based automatic diagnostic platform utilizing CT images and clinical information for predicting radiotherapy locoregional recurrence in elderly esophageal cancer patients.

Abdominal radiology (New York) Jun 4, 2024
OBJECTIVE: To investigate the feasibility and accuracy of predicting locoregional recurrence (LR) in elderly patients with esophageal squamous cell cancer (ESCC) who underwent radical radiotherapy using a pairwise machine learning algorithm.
Aged, 80 and over Male Predictive Value of Tests Radiographic Image Interpretation, Computer-Assisted Feasibility Studies Neoplasm Recurrence, Local Esophageal Neoplasms Retrospective Studies Tomography, X-Ray Computed Female Aged Humans Machine Learning Algorithms
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Feasibility study of ResNet-50 in the distinction of intraoral neural tumors using histopathological images.

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology Jun 4, 2024
BACKGROUND: Neural tumors are difficult to distinguish based solely on cellularity and often require immunohistochemical staining to aid in identifying the cell lineage. This article investigates the potential of a Convolutional Neural Network for th...
Neurofibroma Diagnosis, Differential Mouth Neoplasms Feasibility Studies Neurilemmoma Nerve Sheath Neoplasms Humans Neural Networks, Computer
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Is deep learning-enabled real-time personalized CT dosimetry feasible using only patient images as input?

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) May 29, 2024
PURPOSE: To propose a novel deep-learning based dosimetry method that allows quick and accurate estimation of organ doses for individual patients, using only their computed tomography (CT) images as input.
Monte Carlo Method Humans Radiometry Precision Medicine Tomography, X-Ray Computed Deep Learning Time Factors Image Processing, Computer-Assisted Feasibility Studies Radiation Dosage
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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 ...
Retrospective Studies Female Aged Male Humans Machine Learning Anastomosis, Surgical Anastomotic Leak Preoperative Care Middle Aged Pilot Projects Switzerland Feasibility Studies
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