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

Healthcare Agencies II01:17

Healthcare Agencies II

749
There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
749
Healthcare Agencies I01:18

Healthcare Agencies I

785
Healthcare agencies provide healthcare services to people. In the United States, voluntary agencies are often non-profit centers sponsored by donations, grants, or fundraisers. One such organization is Meals on Wheels, which provides meals to the elderly and homebound. The American Heart Association and the American Lung Association are other non-profit community organizations. Doctors and nurses are frequently active members of these organizations, which offer health checks and educational...
785
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

4.8K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
4.8K
Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic01:26

Healthcare Associated Infections I: Iatrogenic, Exogenic and Endogenic

4.4K
Healthcare-associated infections (HAIs) occur in a healthcare facility while a person receives care for another ailment. This category also includes work-related infections among healthcare staff.
HAIs significantly increase the cost of health care. Extended stays in healthcare institutions, increased disability, increased costs of medications, including specialized antibiotics, and prolonged recovery times add to the patient's expenses and the healthcare institution and funding bodies.
4.4K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.8K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

915
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
915

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

Artificial Intelligence and Terrestrial Point Clouds for Forest Monitoring.

Current forestry reports·2026
Same author

Mixed-Reality Visualization of Impacted Teeth: A Survey of Undergraduate Dental Students.

Journal of clinical medicine·2025
Same author

Predicting mortality and short-term outcomes of continuous kidney replacement therapies in neonates and infants.

Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association·2025
Same author

PitVis-2023 challenge: Workflow recognition in videos of endoscopic pituitary surgery.

Medical image analysis·2025
Same author

Deep Generative Modeling: From Probabilistic Framework to Generative AI.

Entropy (Basel, Switzerland)·2025
Same author

Segmenting the Inferior Alveolar Canal in CBCTs Volumes: The ToothFairy Challenge.

IEEE transactions on medical imaging·2025

関連する実験動画

Updated: Sep 10, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

575

医療における生成性,予測性,自己説明性AIのための共同表現学習

Joanna Kaleta1, Paweł Skierś2, Jan Dubiński3

  • 1Sano Centre for Computational Medicine, Kraków, Poland; Warsaw University of Technology, Warsaw, Poland.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
|August 24, 2025
PubMed
まとめ

この研究は,生成と分類のタスクの安定した,エンドツーエンドのトレーニングのための共同拡散モデルを導入します. このモデルは,特に医療データ不足の場合,生成と予測の両方でパフォーマンスを向上させます.

キーワード:
コンピュータによる診断拡散モデル共同モデリング

さらに関連する動画

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

681
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

160

関連する実験動画

Last Updated: Sep 10, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

575
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

681
Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

160

科学分野:

  • 人工知能
  • 機械学習
  • 深層学習

背景:

  • 合成と分類のための共同機械学習モデルは,しばしばパフォーマンスと安定性の問題に直面します.
  • ディープ・ジェネラティブ・ディフュージョン・モデルは,生成と予測の両方に価値のある内部表現を持っています.

研究 の 目的:

  • 分類と生成を統合した拡散モデルのための安定した,エンドツーエンドの共同トレーニングアプローチを開発する.
  • 共有されたパラメータ化を使用して,生成的および予測的タスクの両方のパフォーマンスを向上させる.
  • 半監督学習と意思決定説明を含む医療データの課題に共同拡散モデルを適用する.

主な方法:

  • 共同トレーニングのための統合分類器によるバニラ拡散モデルの拡張
  • 生成目的と分類目的の共有パラメータ化
  • 分類と発電品質の基準による評価
  • 医療データへの応用 半監督学習と対実例生成に重点を置く

主要な成果:

  • 提案された共同拡散モデルは,分類と生成の両方で最先端のハイブリッド方法よりも優れた性能を示しています.
  • 半監視環境で優れたパフォーマンスを達成し,人間の注釈は限られています.
  • 決定の説明のための反事実的な例を成功裏に生成しました.

結論:

  • 共同拡散モデルは,合成と分類の作業を組み合わせて,安定的かつ効果的なアプローチを提供します.
  • この方法は医療データ分析において有望であり,低リソースのシナリオでのパフォーマンスを改善し,解釈可能な結果を提供します.