Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
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...
5.6K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

844
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
844

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Stop LCNP: High dose corticosteroid therapy for late radiation-associated lower cranial neuropathy: A report of the phase I dose finding trial and parallel prospective data registry.

medRxiv : the preprint server for health sciences·2026
Same author

Participant Heterogeneity in the Prostate Cancer Biobank of the NRG: An Obstacle to Broadening the Reach of Precision Oncology.

JCO precision oncology·2026
Same author

A targetable FTO/SLC7A11/CBS/CTH axis controls cysteine metabolism, growth and survival in NSCLC.

Science advances·2026
Same author

LLM-Driven Extraction of NI-RADS and Imaging Tumor Characteristics to Enhance Oropharyngeal Cancer Survivorship Surveillance.

medRxiv : the preprint server for health sciences·2026
Same author

Recurrent PRES in a Patient With Cyclic Vomiting Syndrome.

Case reports in radiology·2026
Same author

Tumoral and Systemic Immune Correlates of Response to Concurrent Pembrolizumab and Chemoradiotherapy in Patients with Resected High-Risk Head and Neck Squamous Cell Carcinoma.

Clinical cancer research : an official journal of the American Association for Cancer Research·2026

Related Experiment Video

Updated: Jul 9, 2025

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.4K

Cancer Informatics for Cancer Centers: Sharing Ideas on How to Build an Artificial Intelligence-Ready Informatics

Danielle S Bitterman1,2, Michael F Gensheimer3, David Jaffray4

  • 1Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA.

JCO Clinical Cancer Informatics
|December 6, 2023
PubMed
Summary

Artificial intelligence (AI) is set to transform radiation oncology, leveraging vast digital data. Cancer informatics leaders are preparing the field for AI integration through improved data practices.

More Related Videos

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.3K
Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research
09:10

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research

Published on: September 22, 2021

2.8K

Related Experiment Videos

Last Updated: Jul 9, 2025

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.4K
Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.3K
Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research
09:10

Establishing an Octopus Ecosystem for Biomedical and Bioengineering Research

Published on: September 22, 2021

2.8K

Area of Science:

  • Oncology
  • Medical Informatics
  • Artificial Intelligence

Background:

  • The Cancer Informatics for Cancer Centers symposium focused on Precision Medicine Applications in Radiation Oncology in August 2022.
  • Discussions covered AI, biomarker development, decision support, imaging, and theranostics in radiation oncology.
  • Generative AI advancements have accelerated the potential for AI integration in clinical settings.

Purpose of the Study:

  • To highlight key takeaways from the 2022 symposium on AI and informatics in radiation oncology.
  • To provide lessons learned for data acquisition, management, representation, and sharing.
  • To prepare the radiation oncology field for the safe and effective integration of AI and informatics.

Main Methods:

  • Summary of presentations and discussions from the Precision Medicine Applications in Radiation Oncology symposium.
  • Analysis of themes related to data handling and AI readiness in radiation oncology.
  • Contextualization of symposium findings for future AI implementation.

Main Results:

  • Radiation oncology generates substantial digital data, making it a prime area for AI transformation.
  • The informatics community is crucial for guiding the integration of AI in radiation oncology.
  • Key lessons emphasize the importance of robust data practices for AI adoption.

Conclusions:

  • AI holds significant promise for revolutionizing cancer care, particularly in radiation oncology.
  • Effective data management and sharing are foundational for successful AI integration.
  • Proactive preparation by the informatics community will ensure radiation oncology benefits from AI technologies.