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

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
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

7.8K
The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
7.8K

You might also read

Related Articles

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

Sort by
Same author

Systematic review of artificial intelligence in brachytherapy.

Journal of contemporary brachytherapy·2026
Same author

Simulated online adaptive radiotherapy on C-arm linacs: Integrating high resolution cone-beam CT into abdominal stereotactic body radiation therapy.

Journal of applied clinical medical physics·2026
Same author

Development and implementation of an MRI-only simulation, planning, and treatment workflow for prostate radiotherapy using synthetic CT on MR-linac.

Journal of applied clinical medical physics·2026
Same author

Development and Pilot Evaluation of an Educational Postpartum Contraception Video.

O&G open·2025
Same author

An innovative process for efficient automated optimizing IMRT knowledge-based planning (KBP).

Medical physics·2025
Same author

Iterative intraoperative 3T MRI (iMRI)-guided brachytherapy: A prospective study on enhancing implantation precision and dosimetric gains in advanced gynecologic cancers.

Brachytherapy·2025
Same journal

Upper Extremity Lymphedema​​​: Performance of a Risk Prediction Model in Women Undergoing Surgery for Breast Cancer.

American journal of clinical oncology·2026
Same journal

Executive Summary of the American Radium Society (ARS) Appropriate Use Criteria (AUC) for the Use of Radiation in the Prevention and Treatment of Heterotopic Ossification (HO).

American journal of clinical oncology·2026
Same journal

Stereotactic Body Radiation Therapy Combined With Immune Checkpoint Inhibitors in Unresectable Hepatocellular Carcinoma: A Comprehensive Single-Arm Meta-Analysis Approach.

American journal of clinical oncology·2026
Same journal

Emergence of Single-Week Adjuvant Radiation Therapy for Early-Stage Breast Cancer in the United States.

American journal of clinical oncology·2026
Same journal

Early Versus Delayed Pancreatic Enzyme Replacement Therapy After Pancreatic Cancer Surgery: A Real-World Cohort Study.

American journal of clinical oncology·2026
Same journal

Early Economic and Patient-Centered Outcomes Before Spine Metastases Radiation Therapy From an Ongoing Phase II Randomized Controlled Trial.

American journal of clinical oncology·2026
See all related articles

Related Experiment Video

Updated: Sep 8, 2025

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
07:59

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer

Published on: September 8, 2023

1.2K

AI Prognostication in Nonsmall Cell Lung Cancer: A Systematic Review.

Michael Augustin1, Kelsey Lyons2, Hayeon Kim3

  • 1Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY.

American Journal of Clinical Oncology
|July 18, 2025
PubMed
Summary
This summary is machine-generated.

Artificial intelligence (AI) shows superior prognostication for nonsmall cell lung cancer (NSCLC) compared to traditional methods. Deep learning (DL) algorithms outperform machine learning (ML), offering potential for personalized cancer therapy.

Keywords:
NSCLCartificial intelligenceconvolutional neural networkdeep learningprognosisprognostication

More Related Videos

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

372
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

193

Related Experiment Videos

Last Updated: Sep 8, 2025

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
07:59

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer

Published on: September 8, 2023

1.2K
Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
06:46

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery

Published on: September 27, 2024

372
Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

193

Area of Science:

  • Oncology
  • Medical Imaging
  • Artificial Intelligence

Background:

  • Nonsmall cell lung cancer (NSCLC) prognostication relies on traditional methods like TNM staging.
  • Artificial intelligence (AI) offers potential for improved prognostic accuracy in NSCLC.
  • Systematic reviews are crucial for evaluating AI's role in cancer prognostication.

Purpose of the Study:

  • To systematically review the application of AI algorithms in NSCLC prognostication.
  • To compare the prognostic performance of different AI types (ML vs. DL).
  • To synthesize findings on AI input data and therapeutic interventions.

Main Methods:

  • Systematic literature review adhering to PRISMA guidelines.
  • Evaluation of studies based on input data (histology, CT, PET, MRI), therapy, and prognostic performance.
  • Comparison of AI methods against traditional systems (e.g., TNM staging).

Main Results:

  • AI-based prognostication consistently outperforms traditional methods like TNM staging for NSCLC.
  • Deep learning (DL) demonstrates superior prognostic performance compared to machine learning (ML).
  • AI utilizes diverse data, including histology, genetics, and imaging (CT, PET, MRI).

Conclusions:

  • AI, particularly DL, shows significant promise for enhancing NSCLC prognostication.
  • AI can serve as a valuable supplementary tool for personalized precision cancer therapy decisions.
  • Further validation through rigorous clinical trials is essential before widespread clinical adoption.