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Medical ultrasound: History & Applications
Medical ultrasound includes diagnostic techniques (mainly imaging) using ultrasound, as well as therapeutic applications of ultrasound. In diagnosis, it is used to create an image of internal body structures such as tendons, muscles, joints, blood vessels, and internal organs, to measure some characteristics (e.g., distances and velocities) or to…
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Medical ultrasound topic overview
The analysis highlights History and Applications as prominent areas in the source structure around Medical ultrasound.
Related topics
371
Source areas
12
Connected nodes
383
Extracted relationships
110
Concept neighborhoods
91
Bridge connections
383
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Uses · 137 topics
Expansions · 82 topics
History · 45 topics
Overview · 42 topics
Attributes · 14 topics
Mechanism · 13 topics
Regulation · 11 topics
Types · 9 topics
Manufacturers · 8 topics
Sound in the body · 7 topics
Risks and side-effects · 2 topics
Use in other animals · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
ICD-10-PCS
B?4
ICD-9-CM
88.7
MeSH
D014463
OPS-301 code
3-03...3-05
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Medical ultrasound connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Medical ultrasound shows recurring relationship patterns in the source. For example, Medical ultrasound → After, American, Australian Department, Austrian, B-mode, Bethesda, David Robinson, Dr George Ludwig, English-born, Floyd Firestone, French, Friedrich, George Kossoff's, Health, In, John Wild, Karl Theo Dussik, Maryland, Meyerdirk, Naval Medical Research Institute Another extracted example is Medical ultrasound → Another, Blood, Hemolytic, HFUS, High, Interventional, Joint, Metastatic, PEI, Power, Small, TG, The, Thyroid, With. Use these groups to spot repeated connection types before inspecting the individual relationships.
Medical ultrasound
Top relations
related to history· 25
Medical ultrasound → After, American, Australian Department, Austrian, B-mode, Bethesda, David Robinson, Dr George Ludwig, English-born, Floyd Firestone, French, Friedrich, George Kossoff's, Health, In, John Wild, Karl Theo Dussik, Maryland, Meyerdirk, Naval Medical Research Institute
related to Interventional ultrasonography· 15
Medical ultrasound → Another, Blood, Hemolytic, HFUS, High, Interventional, Joint, Metastatic, PEI, Power, Small, TG, The, Thyroid, With
related to Manufacturers· 7
Medical ultrasound → Canon Medical Systems CorporationEsaoteGE, Equipment, HealthcareFujifilmMindray Medical International LimitedKoninklijke, Major, Medical Ultrasound Devices, Philips, Samsung MedisonSiemens Healthineers
ICD-10-PCS· 1
Medical ultrasound → B?4
ICD-9-CM· 1
Medical ultrasound → 88.7
MeSH· 1
Medical ultrasound → D014463
OPS-301 code· 1
Medical ultrasound → 3-03...3-05
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Medical ultrasound relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 110 structured relationships around Medical ultrasound. Examples in this analysis include Medical ultrasound → ICD-10-PCS → B?4 and Medical ultrasound → ICD-9-CM → 88.7. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Medical ultrasound
ICD-10-PCS
B?4
1.00
infobox
Medical ultrasound
ICD-9-CM
88.7
1.00
infobox
Medical ultrasound
MeSH
D014463
1.00
infobox
Medical ultrasound
OPS-301 code
3-03...3-05
1.00
infobox
tendons
instance of
it is used to create an image of internal body structures
0.80
text
muscles
instance of
it is used to create an image of internal body structures
0.80
text
joints
instance of
it is used to create an image of internal body structures
0.80
text
blood vessels
instance of
it is used to create an image of internal body structures
0.80
text
and internal organs
instance of
it is used to create an image of internal body structures
0.80
text
to measure some characteristics
instance of
it is used to create an image of internal body structures
0.80
text
biopsies or to drain collections of fluid
instance of
using ultrasound to guide interventional procedures
0.80
text
which can be both diagnostic
instance of
using ultrasound to guide interventional procedures
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Medical ultrasound bring nearby vocabulary together. In this analysis, examples include Lung, Diagnostic and Imaging. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Medical ultrasound
Lung
Diagnostic
Imaging
Contrast
First
Ultrasonic
Ultrasonography
Ultrasound
Used
Sonography
Use
Pleural
medical ultrasound
Lung
Used
Diagnostic
Imaging
Contrast
First
Ultrasonic
Ultrasonography
Ultrasound
Tissue
Using
Sonography
imaging
Ultrasound
Used
Medical
Tissue
Lung
Also
Use
Using
Ultrasonography
Contrast
Doppler
Patients
ultrasound
Lung
Used
Tissue
Using
Medicine
Pleural
Ultrasonography
Images
Use
Transducer
Image
Doppler
ultrasound transmission tomography
Lung
Used
Tissue
Using
Medicine
Pleural
Ultrasonography
Images
Use
Transducer
Image
Doppler
lung cancer
Pleural
Ultrasound
Pleura
However
Method
May
Patients
Beam
Acoustic
Use
Used
Imaging
doppler sonography
Flow
Use
Ultrasonography
Acoustic
Fetal
B-mode
Used
Imaging
Medicine
Heart
Ultrasound
Probe
doppler effect
Flow
Use
Ultrasonography
Fetal
B-mode
Used
Imaging
Medicine
Heart
Ultrasound
Probe
Sonography
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Medical ultrasound, one of the stronger structural bridges in this analysis connects Medical ultrasound with Uses. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Medical ultrasound
Nodes384
Edges383
Triples110
Avg. degree1.99
Density0.005208
Components1
Source & methodology
TTTA analyzes the structure around Medical ultrasound to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
