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Predicting pediatric patient rehabilitation outcomes after spinal deformity surgery with artificial intelligence.
Commun Med (Lond)
January 2025
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, 30322, USA.
Background: Adolescent idiopathic scoliosis (AIS) is the most common type of scoliosis, affecting 1-4% of adolescents. The Scoliosis Research Society-22R (SRS-22R), a health-related quality-of-life instrument for AIS, has allowed orthopedists to measure subjective patient outcomes before and after corrective surgery beyond objective radiographic measurements. However, research has revealed that there is no significant correlation between the correction rate in major radiographic parameters and improvements in patient-reported outcomes (PROs), making it difficult to incorporate PROs into personalized surgical planning.
View Article and Find Full Text PDFEvaluation of artificial intelligence and optical image recognition techniques used in OneIso, an off-axis Winston-Lutz quality assurance phantom.
Biomed Phys Eng Express
December 2024
Department of Radiation Oncology, Stanford University, 875 Blake Wilbur Dr, Stanford, California, 94305-6104, UNITED STATES.
Single-isocenter multitarget (SIMT) stereotactic-radiosurgery (SRS) has recently emerged as a powerful treatment regimen for intracranial tumors. With high specificity, SIMT SRS allows for rapid, high-dose delivery while maintaining integrity of adjacent healthy tissues and minimizing neurocognitive damage to patients. Highly robust and accurate quality assurance (QA) tests are critical to minimize off-targets and damage to surrounding healthy tissues.
View Article and Find Full Text PDFArtificial Intelligence-Assisted Stimulated Raman Histology: New Frontiers in Vibrational Tissue Imaging.
Cancers (Basel)
November 2024
Department of Biomedical Engineering, Chennai Institute of Technology, Chennai 600069, Tamil Nadu, India.
Frozen section biopsy, introduced in the early 1900s, still remains the gold standard methodology for rapid histologic evaluations. Although a valuable tool, it is labor-, time-, and cost-intensive. Other challenges include visual and diagnostic variability, which may complicate interpretation and potentially compromise the quality of clinical decisions.
View Article and Find Full Text PDFMobile device-based 3D scanning is superior to scoliometer in assessment of adolescent idiopathic scoliosis.
Spine Deform
December 2024
Department of Orthopaedic Surgery, Stanford University School of Medicine, 453 Quarry Rd, 3rd Floor, MC 5658, Palo Alto, CA, USA.
Purpose: Screening for adolescent idiopathic scoliosis (AIS) currently relies on clinical evaluations by trained practitioners, most commonly using a scoliometer. Modern structured light 3D scanning can generate high-quality 3D representations of surface anatomy using a mobile device. We hypothesized that a mobile-based 3D scanning system would provide accurate deformity assessments compared to a scoliometer.
View Article and Find Full Text PDFComparative analysis of deep learning algorithms for dental caries detection and prediction from radiographic images: a comprehensive umbrella review.
PeerJ Comput Sci
November 2024
Department of Prosthodontics and Dental Implantology, King Faisal University, Al Hofuf, Saudi Arabia.
Background: In recent years, artificial intelligence (AI) and deep learning (DL) have made a considerable impact in dentistry, specifically in advancing image processing algorithms for detecting caries from radiographical images. Despite this progress, there is still a lack of data on the effectiveness of these algorithms in accurately identifying caries. This study provides an overview aimed at evaluating and comparing reviews that focus on the detection of using DL algorithms from 2D radiographs.
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