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Related Concept Videos

Clinical Trials: Overview01:11

Clinical Trials: Overview

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
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Hazard Ratio01:12

Hazard Ratio

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The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
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Current Trends in Nursing II01:30

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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
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Techniques of Therapeutic Communication II: Focusing, Paraphrasing, and Summarizing01:23

Techniques of Therapeutic Communication II: Focusing, Paraphrasing, and Summarizing

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Focusing involves centering a conversation on a message's critical elements or concepts. Focusing is valuable if the talk is vague or patients begin to repeat themselves. Sometimes, when patients are asked about their symptoms, they may go off-topic and try to tell their entire life story. Respectfully, the nurse should bring the conversation back into focus.
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Related Experiment Video

Updated: Jul 22, 2025

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

Published on: June 13, 2025

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Automatically Summarizing Evidence from Clinical Trials: A Prototype Highlighting Current Challenges.

Sanjana Ramprasad1, Iain J Marshall2, Denis Jered McInerney1

  • 1Northeastern University.

Proceedings of the Conference. Association for Computational Linguistics. Meeting
|July 24, 2023
PubMed
Summary
This summary is machine-generated.

TrialsSummarizer automatically summarizes evidence from randomized controlled trials. While generating fluent synopses, current models produce unsupported statements, limiting their immediate clinical application.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Area of Science:

  • Artificial Intelligence
  • Clinical Informatics
  • Biomedical Natural Language Processing

Background:

  • Automated summarization of clinical evidence is crucial for informed decision-making.
  • Existing systems often lack transparency and can generate inaccurate information.
  • Randomized controlled trials (RCTs) are a primary source of medical evidence.

Purpose of the Study:

  • To develop and evaluate TrialsSummarizer, a system for automatic evidence synthesis from RCTs.
  • To compare two neural summarization architectures for clinical trial evidence.
  • To assess the accuracy and trustworthiness of generated summaries.

Main Methods:

  • Query-based retrieval of relevant RCT publications.
  • Ranking of retrieved trials by sample size and study quality.
  • Application of neural multi-document summarization using BART and a multi-headed architecture.
  • Evaluation of summary fluency, relevance, and factual accuracy.

Main Results:

  • Both evaluated architectures produced fluent and relevant summaries.
  • A significant tendency for models to generate unsupported statements was observed.
  • The proposed multi-headed architecture aims to enhance output transparency and verifiability.

Conclusions:

  • Current automated summarization systems for clinical trials are not yet suitable for direct clinical use due to factual inaccuracies.
  • Further development is needed to ensure the reliability and trustworthiness of AI-generated medical evidence summaries.
  • The presented architecture offers potential for improved user verification of summarized information.