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Related Concept Videos

RNA Structure01:23

RNA Structure

Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
RNA Structure01:23

RNA Structure

Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

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...
RNA Structure01:19

RNA Structure

The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...
Nucleic Acid Structure01:25

Nucleic Acid Structure

The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA has a double-helix structure. The...

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Using Generative AI to Extract Structured Information from Free Text Pathology Reports.

Fahad Shahid1, Min-Huei Hsu2,3,4,5,6, Yung-Chun Chang7,8,9,10

  • 1Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei, Taiwan. fahad1.shahid@gmail.com.

Journal of Medical Systems
|March 13, 2025
PubMed
Summary
This summary is machine-generated.

Generative AI accurately converts unstructured pathology reports into structured data, significantly reducing processing time. This AI application enhances medical text analysis efficiency and reliability for breast cancer research.

Keywords:
Artificial IntelligenceBreast CancerChatGPTFree-text Pathology ReportsGenerative AIInformation ExtractionLarge Language ModelsStreamlit

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Area of Science:

  • Medical Informatics
  • Artificial Intelligence in Healthcare
  • Biomedical Data Analysis

Background:

  • Manual conversion of unstructured text pathology reports is inefficient and error-prone.
  • Automating pathology report analysis is crucial for improving healthcare efficiency and research.
  • Generative AI offers a potential solution for structured medical data extraction.

Purpose of the Study:

  • To evaluate the efficacy of generative AI in automating the extraction and structuring of information from unstructured breast cancer pathology reports.
  • To assess the accuracy and efficiency of an AI-powered system compared to traditional methods.
  • To explore the potential of AI in transforming medical text analysis.

Main Methods:

  • Utilized ChatGPT Large Language Model within a Streamlit web application.
  • Processed 33 unstructured breast cancer pathology reports from Taipei Medical University Hospital.
  • Developed an automated system for information extraction and structuring.

Main Results:

  • Achieved a 99.61% accuracy rate in structuring pathology report data.
  • Significantly reduced processing time compared to manual methods.
  • Demonstrated the AI system's capability to convert unstructured medical text into structured data.

Conclusions:

  • Generative AI effectively automates the analysis of free-text pathology reports, enhancing efficiency and reliability.
  • The study highlights AI's transformative potential in biomedical research through structured medical data analysis.
  • Future work includes expanding to other cancer types and external validation for generalizability.