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Related Concept Videos

Anatomical Terminology01:20

Anatomical Terminology

Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
Functional Classification of Joints01:09

Functional Classification of Joints

Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses  or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An immobile...
Bone Remodeling and Repair01:31

Bone Remodeling and Repair

Osteoclasts are cells responsible for bone resorption and remodeling. They originate from hematopoietic progenitor cells present in the bone marrow. Numerous progenitor cells fuse to form multinucleated cells, each with 10-20 nuclei. A single osteoclast has a diameter of 150 to 200 µM. These cells have ruffled borders that break down the underlying bone tissue and release minerals such as calcium into the blood in bone resorption. Osteoclasts cling to bones with their ruffled edges during bone...
Classification of Bones01:18

Classification of Bones

The bones of the human skeletal system are of varied shapes, sizes, and functions. They can be classified based on their shape and function into four major classes: long bones, short bones, flat bones, and irregular bones. Some classifications include a fifth type, the sesamoid bones, as a separate class, whereas others categorize them under short bones.
Long and Short Bones
The appendicular skeleton, particularly the upper and lower limbs, is primarily made of long and short bones. The long...
Bones of the Lower Limb: Femur and Patella01:16

Bones of the Lower Limb: Femur and Patella

The femur is the body's longest and strongest bone spanning the thigh region. Its head articulates with the acetabulum of the hip bone to form the hip joint. A minor indentation on the medial side of the femoral head, called the fovea capitis, serves as the site of attachment for the ligament of the head of the femur. This weak ligament spans the femur and acetabulum and supports the hip joint. The narrowed region below the head is the neck of the femur. The inclination angle between the neck...

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Three-Dimensional Preoperative Virtual Planning in Derotational Proximal Femoral Osteotomy
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Published on: February 17, 2023

Computational ontologies in orthopaedic surgery.

Ricardo Pietrobon1, Amrapali Zaveri, Luciana Cofiel

  • 1Department of Surgery, Research on Research Group, Duke University Medical Center, Box 3094, Durham, NC 27710, USA. rpietro@duke.edu

Clinical Orthopaedics and Related Research
|May 25, 2010
PubMed
Summary
This summary is machine-generated.

Ontologies can standardize and integrate heterogeneous healthcare data, especially in orthopaedics. This enables better data analysis for improved clinical practice, research, and education.

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Area of Science:

  • Healthcare Informatics
  • Orthopaedic Data Management
  • Knowledge Representation

Background:

  • Information Technology (IT) is crucial for healthcare data but faces challenges due to data heterogeneity and silos.
  • Existing data standardization and integration efforts in orthopaedics have yielded limited success.
  • The scattered nature of orthopaedic knowledge complicates data analysis and knowledge extraction.

Purpose of the Study:

  • To explore the potential of ontologies for standardizing and integrating heterogeneous healthcare data.
  • To address the challenges in analyzing and extracting meaningful information from orthopaedic data.
  • To improve orthopaedic clinical practice, research, and education through enhanced data utilization.

Main Methods:

  • Utilizing ontologies to standardize data concepts and their interrelationships.
  • Applying ontologies for data collection standardization and linking diverse data sources.
  • Leveraging ontologies for knowledge generation and inference from integrated data.

Main Results:

  • Ontologies provide a standardized framework for describing concepts and relationships within healthcare data.
  • Ontology implementation facilitates data integration across disparate sources.
  • Ontologies enable granular-level inferential capabilities for knowledge discovery.

Conclusions:

  • Ontologies offer a robust solution for standardizing and integrating complex healthcare data, particularly in orthopaedics.
  • This approach can overcome the limitations of previous data management strategies.
  • Ontologies empower data-driven insights to advance orthopaedic clinical practice, research, and education.