Related Experiment Video
Updated: Aug 9, 2025
06:03
Orthotopic Transplantation of Syngeneic Lung Adenocarcinoma Cells to Study PD-L1 Expression
Published on: January 19, 2019
17.2K
See Lung Cancer with an AI
Joanna Bidzińska1, Edyta Szurowska1
1Second Department of Radiology, Medical University of Gdansk, 80-210 Gdańsk, Poland.
Cancers
|February 25, 2023
Summary
Lung cancer screening using low-dose computed tomography and smoking cessation are vital. Artificial intelligence (AI) can enhance lung cancer screening processes for healthcare professionals and patients.
Area of Science:
- Oncology
- Radiology
- Public Health
- Artificial Intelligence in Medicine
Background:
- Lung cancer remains a leading global cause of mortality.
- Low-dose computed tomography (LDCT) screening, combined with smoking cessation, is the sole proven method for lung cancer prevention.
- Recent advancements and policy discussions highlight the importance of lung cancer screening initiatives.
Purpose of the Study:
- To explore the potential benefits and applications of artificial intelligence (AI) in lung cancer screening.
- To discuss how AI can support various stakeholders involved in the screening process, including patients and healthcare professionals.
Main Methods:
- Review of current scientific literature and policy documents on lung cancer screening.
- Discussion of the integration of artificial intelligence (AI) into existing screening protocols.
- Analysis of the potential impact of AI on patient outcomes and healthcare system efficiency.
Main Results:
- Evidence from the United States and European randomized controlled trials supports the efficacy of LDCT screening.
- AI demonstrates potential to streamline and improve the organization of specialized screening work.
- AI can offer benefits to patients, radiologists, pulmonologists, thoracic surgeons, and hospital staff involved in screening.
Conclusions:
- Artificial intelligence (AI) offers a promising avenue to enhance the effectiveness and efficiency of lung cancer screening programs.
- Implementing AI in screening requires careful consideration of its role for all participants, from patients to clinicians.
- Further research and development are needed to fully realize the potential of AI in combating lung cancer globally.
Related Concept Videos
01:21Cancer Survival Analysis
408
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...
408
02:57Targeted 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...
There are several types of targeted therapies against...
7.8K
02:39lncRNA - Long Non-coding RNAs
8.7K
In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...
8.7K