Jove
Visualize
お問い合わせ
JoVE
x logofacebook logolinkedin logoyoutube logo
JoVEについて
概要リーダーシップブログJoVEヘルプセンター
著者向け
出版プロセス編集委員会範囲と方針査読よくある質問投稿
図書館員向け
推薦の声購読アクセスリソース図書館諮問委員会よくある質問
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experimentsアーカイブ
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教員リソースセンター教員サイト
利用規約
プライバシーポリシー
ポリシー

関連する概念動画

Intelligence01:27

Intelligence

8.5K
The term "intelligence" is complex because it refers to both behavior and individuals, and its interpretation varies across cultures. European Americans tend to link intelligence with reasoning and cognitive skills, while in Kenya, it is tied to responsible participation in family and social life. In Uganda, intelligence is seen as the ability to know the right actions and carry them out effectively, while the Iatmul people of Papua New Guinea associate it with the capacity to remember...
8.5K
Knee Joint01:23

Knee Joint

3.1K
The knee joint is the most complicated joint in the body. It consists of three articulations– two tibiofemoral and one patellofemoral. As is characteristic of synovial joints, the knee joint has a thin articular capsule that partially surrounds this joint cavity. Additionally, several ligaments, muscles, and cartilaginous structures support the movement of the knee.
A total of seven ligaments support the knee joint. The patellar ligament, which is also attached to the quadriceps femoris...
3.1K
Measures of Intelligence01:29

Measures of Intelligence

8.4K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.4K
Multiple Intelligences Theory01:20

Multiple Intelligences Theory

8.9K
Howard Gardner's theory of Multiple Intelligence proposes that there are nine distinct types of intelligence, each reflecting different ways of interacting with the world. Introduced in 1983 and expanded in subsequent years, Gardner's framework challenges the traditional notion of a single, generalized intelligence.
8.9K
Cattell's Theory of Intelligence01:25

Cattell's Theory of Intelligence

8.0K
Raymond Cattell, along with John Horn, made significant contributions to our understanding of intelligence by distinguishing between two types: fluid intelligence and crystallized intelligence.
Fluid intelligence involves the capacity to solve new problems and adapt to unfamiliar situations. It's the type of intelligence individuals use when they encounter a novel problem or puzzle that requires innovative thinking. For instance, figuring out how to operate a new gadget relies heavily on...
8.0K
Triarchic Theory of Intelligence01:24

Triarchic Theory of Intelligence

9.9K
Robert Sternberg's triarchic theory of intelligence posits that intelligence is composed of three distinct but interrelated components: analytical, creative, and practical intelligence.
9.9K

こちらも読む

関連記事

共著者、ジャーナル、引用グラフによってこの研究に関連する記事。

並び替え
Same author

Will Unreasonable CMS Expectations Worsen Knee Osteoarthritis Care?: Commentary on an article by Leo Zalikha, MD, et al.: " Substantial Clinical Benefit After Total Knee Arthroplasty Has Been Set Too High. An Analysis of the American Joint Replacement Registry ".

The Journal of bone and joint surgery. American volume·2026
Same author

High Rates of Return to Sport After Surgical Stabilization for Anterior Shoulder Instability in Athletes: A Systematic Review and Meta-analysis.

Orthopaedic journal of sports medicine·2026
Same author

Preoperative GLP-1 receptor agonist use is not associated with increased risk of pseudoarthrosis following midfoot fusion: a propensity-matched analysis.

The Journal of foot and ankle surgery : official publication of the American College of Foot and Ankle Surgeons·2026
Same author

Preoperative Nutritional Laboratory Tests Are Infrequently Obtained and Weakly Associated With 90-Day Reoperation Following Total Knee Arthroplasty.

The Journal of arthroplasty·2026
Same author

The Persistent Challenges of Diagnosing Orthopaedic Implant-Related Infections.

The Journal of bone and joint surgery. American volume·2026
Same author

Travel Time to a Reconstruction Center Is Not Associated With Progression to Arthroplasty Following Knee Osteoarthritis Diagnosis: A Retrospective, Single-Institution Analysis.

HSS journal : the musculoskeletal journal of Hospital for Special Surgery·2025

関連する実験動画

Updated: Jan 27, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K

人工知能モデルは適切に関節鏡視下膝関節形成術の外科医を推薦できるか?

Colin M Emrich1, Ethan C Gazan1, Alexander J Baur1,2

  • 1Liberty University College of Osteopathic Medicine, Lynchburg, VA, USA.

HSS journal : the musculoskeletal journal of Hospital for Special Surgery
|January 26, 2026
PubMed
まとめ

大規模言語モデル(LLM)はTKA外科医を提案できるが、精度は様々である。推奨の66%は適切であったが、連絡先情報の信頼性は低く、さらなる研究が必要であることが示唆された。

キーワード:
人工知能情報探索行動整形外科医患者参加人工膝関節全置換術

さらに関連する動画

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

1.1K
Principles of Rodent Surgery for the New Surgeon
10:29

Principles of Rodent Surgery for the New Surgeon

Published on: January 6, 2011

117.2K

関連する実験動画

Last Updated: Jan 27, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

5.3K
In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty
07:33

In Vitro Application of a Wireless Sensor in Flexion-Extension Gap Balance of Unicompartmental Knee Arthroplasty

Published on: May 5, 2023

1.1K
Principles of Rodent Surgery for the New Surgeon
10:29

Principles of Rodent Surgery for the New Surgeon

Published on: January 6, 2011

117.2K

科学分野:

  • ヘルスケアにおける人工知能
  • 医療情報学
  • 外科的推薦システム

背景:

  • 大規模言語モデル(LLM)は、一般の人々が健康情報にますます利用している。
  • 患者は、外科的紹介を含む医療クエリに対してAI支援を求めている。

研究 の 目的:

  • 現在のLLMがTKA外科医を推薦する能力を評価すること。
  • LLMによって生成された外科医の推奨の適切性と信頼性を評価すること。

主な方法:

  • 3つのLLM(ChatGPT、Gemini、DeepSeek)に、米国の4都市におけるTKA外科医を特定するように指示した。
  • 外科医の適切性(TKAの実践、現役かどうか)と連絡先の詳細の正確性を検索によって評価した。
  • LLMの根拠と情報源を分析した。

主要な成果:

  • 全体として、TKA外科医に対するLLMの推奨の66%は適切であった。
  • Gemini(87%)およびChatGPT(74%)は、DeepSeek(36%)よりも優れたパフォーマンスを示した。
  • 提供された連絡先の詳細のうち、正確であったのはわずか23%であり、モデル間で大きなばらつきが見られた。

結論:

  • LLMはTKA外科医を特定する可能性を示しているが、精度のばらつきが見られる。
  • 外科医の専門知識の検証と連絡先情報の信頼性を向上させる必要がある。
  • 外科的紹介のためのLLMの推奨基準を理解するには、さらなる研究が必要である。