AIMC Topic: Anatomic Landmarks

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Artificial intelligence for surgical safety during laparoscopic gastrectomy for gastric cancer: Indication of anatomical landmarks related to postoperative pancreatic fistula using deep learning.

Surgical endoscopy Aug 2, 2024
BACKGROUND: Postoperative pancreatic fistula (POPF) is a critical complication of laparoscopic gastrectomy (LG). However, there are no widely recognized anatomical landmarks to prevent POPF during LG. This study aimed to identify anatomical landmarks...
Female Aged Stomach Neoplasms Male Humans Artificial Intelligence Middle Aged Gastrectomy Postoperative Complications Anatomic Landmarks Pancreatic Fistula Deep Learning Laparoscopy
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A spatio-temporal graph convolutional network for ultrasound echocardiographic landmark detection.

Medical image analysis Jul 10, 2024
Landmark detection is a crucial task in medical image analysis, with applications across various fields. However, current methods struggle to accurately locate landmarks in medical images with blurred tissue boundaries due to low image quality. In pa...
Algorithms Echocardiography Spatio-Temporal Analysis Image Processing, Computer-Assisted Humans Neural Networks, Computer Anatomic Landmarks Heart Ventricles
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Automatic soft-tissue analysis on orthodontic frontal and lateral facial photographs based on deep learning.

Orthodontics & craniofacial research Jul 5, 2024
BACKGROUND: To establish the automatic soft-tissue analysis model based on deep learning that performs landmark detection and measurement calculations on orthodontic facial photographs to achieve a more comprehensive quantitative evaluation of soft t...
Photography, Dental Deep Learning Adolescent Image Processing, Computer-Assisted Photography Orthodontics Anatomic Landmarks Face Young Adult Male Female Humans Reproducibility of Results
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Automatic quantification of scapular and glenoid morphology from CT scans using deep learning.

European journal of radiology Jun 25, 2024
OBJECTIVES: To develop and validate an open-source deep learning model for automatically quantifying scapular and glenoid morphology using CT images of normal subjects and patients with glenohumeral osteoarthritis.
Humans Tomography, X-Ray Computed Anatomic Landmarks Radiographic Image Interpretation, Computer-Assisted Adult Osteoarthritis Glenoid Cavity Female Male Shoulder Joint Middle Aged Scapula Deep Learning Reproducibility of Results Aged
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Deep learning for 3D cephalometric landmarking with heterogeneous multi-center CBCT dataset.

PloS one Jun 25, 2024
Cephalometric analysis is critically important and common procedure prior to orthodontic treatment and orthognathic surgery. Recently, deep learning approaches have been proposed for automatic 3D cephalometric analysis based on landmarking from CBCT ...
Deep Learning Cephalometry Adult Adolescent Humans Imaging, Three-Dimensional Cone-Beam Computed Tomography Finland Male Anatomic Landmarks Female Thailand Young Adult
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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...
Robotic Surgical Procedures Feasibility Studies Adrenalectomy Adrenal Glands Minimally Invasive Surgical Procedures Anatomic Landmarks Laparoscopy Vena Cava, Inferior Humans Artificial Intelligence Female Deep Learning Adrenal Gland Neoplasms Male Middle Aged
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Enhancing nasal endoscopy: Classification, detection, and segmentation of anatomic landmarks using a convolutional neural network.

International forum of allergy & rhinology Jun 10, 2024
A convolutional neural network (CNN)-based model can accurately localize and segment turbinates in images obtained during nasal endoscopy (NE). This model represents a starting point for algorithms that comprehensively interpret NE findings.
Anatomic Landmarks Nose Turbinates Neural Networks, Computer Algorithms Endoscopy Humans
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Deep Learning-Based Facial and Skeletal Transformations for Surgical Planning.

Journal of dental research May 29, 2024
The increasing application of virtual surgical planning (VSP) in orthognathic surgery implies a critical need for accurate prediction of facial and skeletal shapes. The craniofacial relationship in patients with dentofacial deformities is still not u...
Male Deep Learning Imaging, Three-Dimensional Patient Care Planning Anatomic Landmarks Humans Dentofacial Deformities Facial Bones Female Face Adult Orthognathic Surgical Procedures
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Shape completion in the dark: completing vertebrae morphology from 3D ultrasound.

International journal of computer assisted radiology and surgery May 15, 2024
PURPOSE: Ultrasound (US) imaging, while advantageous for its radiation-free nature, is challenging to interpret due to only partially visible organs and a lack of complete 3D information. While performing US-based diagnosis or investigation, medical ...
Spine Ultrasonography Imaging, Three-Dimensional Anatomic Landmarks Humans Deep Learning
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Automatic cephalometric landmark identification with artificial intelligence: An umbrella review of systematic reviews.

Journal of dentistry May 8, 2024
OBJECTIVES: The transition from manual to automatic cephalometric landmark identification has not yet reached a consensus for clinical application in orthodontic diagnosis. The present umbrella review aimed to assess artificial intelligence (AI) perf...
Machine Learning Imaging, Three-Dimensional Anatomic Landmarks Cephalometry Systematic Reviews as Topic Humans Artificial Intelligence
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