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

5.8K
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
Cancer Survival Analysis01:21

Cancer Survival Analysis

445
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
445
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

5.9K
Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
5.9K
Combination Therapies and Personalized Medicine02:50

Combination Therapies and Personalized Medicine

5.1K
Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...
5.1K
Current Trends in Nursing II01:30

Current Trends in Nursing II

1.4K
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,...
1.4K
Cancer Therapies02:49

Cancer Therapies

7.9K
Cancer therapies are various modes of treatment, such as surgery, radiation therapy, and chemotherapy that are administered to cancer patients.
However, cancer treatments can pose several challenges, as therapies used to kill cancer cells are generally also toxic to normal cells. Moreover, cancer cells mutate rapidly and can develop resistance to chemical agents or radiation therapy. Besides, all types of cancer cells may not respond to the same therapy. Some cancer cells respond to one...
7.9K

You might also read

Related Articles

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

Sort by
Same author

Structured reasoning failures compromise LLM interpretation of clinical oncology notes.

NPJ digital medicine·2026
Same author

Bone-Modifying Agents in Metastatic Castration-Resistant Prostate Cancer.

JAMA network open·2026
Same author

Reply to: Prostate-Specific Membrane Antigen Positron Emission Tomography and Radiometabolic Therapies in Metastatic Castration-Resistant Prostate Cancer.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology·2026
Same author

Multi-modal circulating cell-free DNA profiling to predict response to docetaxel in metastatic castration-resistant prostate cancer.

NPJ precision oncology·2026
Same author

Efficacy and Safety of 177Lu-PSMA-617 in Elderly Patients With Metastatic Castration-Resistant Prostate Cancer.

JCO oncology practice·2026
Same author

Large Language Models in Oncology: Navigating Promise and Prudence in a Rapidly Evolving Landscape.

JCO clinical cancer informatics·2026

Related Experiment Video

Updated: Sep 8, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

221

Artificial intelligence across the cancer care continuum.

Irbaz Bin Riaz1,2, Muhammad Ali Khan1, Travis J Osterman3,4

  • 1Division of Hematology/Oncology, Department of Medicine, Mayo Clinic, Phoenix, Arizona, USA.

Cancer
|August 14, 2025
PubMed
Summary

Artificial intelligence (AI) offers significant potential to improve cancer care across the continuum. Responsible development and integration of AI tools are crucial for personalized oncology and enhanced patient outcomes.

Keywords:
artificial intelligence (AI)cancer screeningcancer survivorshipend‐of‐life caremedical oncologyradiation oncologysurgical oncology

More Related Videos

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

1.5K
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

650

Related Experiment Videos

Last Updated: Sep 8, 2025

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

221
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

1.5K
Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence
08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

650

Area of Science:

  • Oncology
  • Artificial Intelligence
  • Medical Informatics

Background:

  • Artificial intelligence (AI) presents transformative potential across the entire cancer care continuum.
  • Current applications span risk assessment, early detection, treatment, and supportive care.
  • AI integrates diverse data, including multi-omics and electronic health records, for personalized strategies.

Purpose of the Study:

  • To provide a comprehensive overview of current and emerging AI applications in oncology.
  • To highlight AI's role in enhancing cancer risk stratification, diagnosis, treatment, and survivorship.
  • To discuss challenges and requirements for successful AI integration into clinical practice.

Main Methods:

  • Review of current and emerging artificial intelligence applications in oncology.
  • Analysis of AI's role in integrating multi-omics and electronic health records.
  • Exploration of AI in medical image analysis, histopathology, treatment planning, and survivorship care.

Main Results:

  • AI algorithms show promise in improving accuracy and efficiency in cancer screening, diagnosis, and treatment planning.
  • AI can personalize prevention, optimize radiation therapy, and tailor systemic therapy selection.
  • AI enhances clinical workflows, evidence dissemination, and patient-reported outcomes for decision support.

Conclusions:

  • Successful AI integration requires addressing challenges like algorithm validation, data privacy, and bias mitigation.
  • Interdisciplinary collaboration and healthcare professional education are essential for effective AI implementation.
  • Synergistic interaction between AI and clinical expertise is key to realizing AI's potential in personalized cancer care.