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

Reason and Intuition01:37

Reason and Intuition

7.6K
The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
7.6K
Human Genetics01:28

Human Genetics

1.7K
Human genetics provides a profound framework for understanding the interplay between genetic predispositions and human psychology. At the heart of this discipline lies the study of how genes influence physical traits, behaviors, and susceptibility to diseases. Each person carries a unique genetic code that subtly or significantly shapes their psychological and behavioral landscape.
The complex relationship between genetics and psychology is observable through common biological components such...
1.7K
Depressive Disorders: Etiology01:27

Depressive Disorders: Etiology

770
Depressive disorders result from a complex interplay of biological, psychological, and sociocultural factors, each contributing uniquely to the development and persistence of the condition. Understanding these factors provides critical insight into the multifaceted nature of depression.
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
770
Theory of Attribution I: Correspondent Inference Theory01:15

Theory of Attribution I: Correspondent Inference Theory

641
Correspondent inference theory, proposed by Jones and Davis in 1965, seeks to explain how individuals infer stable personality traits from observed behaviors. It suggests that people attribute actions to underlying dispositions rather than external circumstances, particularly when the behavior appears intentional and socially significant.Voluntary Behavior and Dispositional AttributionAccording to this theory, individuals are more likely to attribute behavior to personal traits when it appears...
641
Psychosurgery01:30

Psychosurgery

2.0K
Psychosurgery, the surgical alteration or permanent removal of brain tissue to alleviate severe psychological conditions, stands as one of the most radical and controversial treatments in the history of mental health care. Its development and application have evolved significantly, marked by dramatic shifts in scientific understanding and ethical perspectives.
Historical Development of Psychosurgery
In the 1930s, Portuguese neurologist Antonio Egas Moniz introduced a surgical procedure designed...
2.0K
Fundamental Attribution Error01:14

Fundamental Attribution Error

13.9K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.9K

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

Increased Incidence of Vestibular Disorders in Patients With SARS-CoV-2.

Otology & neurotology open·2024
Same author

Potassium iodide enhances the killing effect of methylene blue mediated photodynamic therapy against F. monophora.

Photodiagnosis and photodynamic therapy·2024
Same author

Successful management of chromoblastomycosis utilizing conventional antifungal agents and imiquimod therapy.

Annals of clinical microbiology and antimicrobials·2024
Same author

Extractive Clinical Question-Answering With Multianswer and Multifocus Questions: Data Set Development and Evaluation Study.

JMIR AI·2024
Same author

Modulation of copper sites in porphyrin metal-organic frameworks for electrochemical ascorbic acid sensing.

Chemical communications (Cambridge, England)·2024
Same author

Bacterial adhesion and corrosion behavior of different pure metals induced by sulfate reducing bacteria.

Biofouling·2024
Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
関連記事をすべて見る

関連する実験動画

Updated: Feb 24, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

8.2K

理由付け大規模言語モデルを用いた初期精神科評価記録からの説明可能な自殺表現型分類

Zehan Li1, Wanjing Wang1, Lokesh Shahani2

  • 1McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA.

AMIA ... Annual Symposium proceedings. AMIA Symposium
|February 23, 2026
PubMed
まとめ
この要約は機械生成です。

4o、o1、o3-miniなどの新しいAIモデルは、臨床記録を正確に分類することで、自殺表現型分類において有望であることを示している。これらのモデルは、より良い自殺リスク特定と介入戦略のための解釈可能な結果を提供する。

科学分野:

  • 臨床情報学、ヘルスケアにおける人工知能、精神医学
キーワード:
自殺精神医学機械学習自然言語処理電子カルテ

さらに関連する動画

Olfactory Neurons Obtained through Nasal Biopsy Combined with Laser-Capture Microdissection: A Potential Approach to Study Treatment Response in Mental Disorders
08:33

Olfactory Neurons Obtained through Nasal Biopsy Combined with Laser-Capture Microdissection: A Potential Approach to Study Treatment Response in Mental Disorders

Published on: December 4, 2014

10.2K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.2K

関連する実験動画

Last Updated: Feb 24, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

8.2K
Olfactory Neurons Obtained through Nasal Biopsy Combined with Laser-Capture Microdissection: A Potential Approach to Study Treatment Response in Mental Disorders
08:33

Olfactory Neurons Obtained through Nasal Biopsy Combined with Laser-Capture Microdissection: A Potential Approach to Study Treatment Response in Mental Disorders

Published on: December 4, 2014

10.2K
Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

1.2K

背景:

  • 臨床表現型分類は、患者の症状と特性を抽出することにより、疾患の理解を助けます。特に自殺表現型分類は、行動的および認知的特性を分析してリスクを特定し、介入を導きます。

主な方法:

  • セーフティネット病院からの精神科評価記録を利用しました。分類および生成タスクのために、インコンテキスト学習を用いたアウトオブボックス推論モデルを適用しました。新しい臨床的根拠生成を実装しました。

結論:

  • より小さく効率的な推論モデルは、臨床表現型分類を効果的に実行できます。このアプローチは、自殺リスク評価のための解釈可能で実行可能な洞察を提供します。これは、AI駆動の精神科評価における有望な進歩を表しています。