AIMC Topic: Early Detection of Cancer

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Usage of Probabilistic and General Regression Neural Network for Early Detection and Prevention of Oral Cancer.

TheScientificWorldJournal
In India, the oral cancers are usually presented in advanced stage of malignancy. It is critical to ascertain the diagnosis in order to initiate most advantageous treatment of the suspicious lesions. The main hurdle in appropriate treatment and contr...

Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.

Gastrointestinal endoscopy
BACKGROUND AND AIMS: The adenoma detection rate (ADR) is a quality metric tied to interval colon cancer occurrence. However, manual extraction of data to calculate and track the ADR in clinical practice is labor-intensive. To overcome this difficulty...

Multi-center colonoscopy quality measurement utilizing natural language processing.

The American journal of gastroenterology
BACKGROUND: An accurate system for tracking of colonoscopy quality and surveillance intervals could improve the effectiveness and cost-effectiveness of colorectal cancer (CRC) screening and surveillance. The purpose of this study was to create and te...

Applying under-sampling techniques and cost-sensitive learning methods on risk assessment of breast cancer.

Journal of medical systems
Breast cancer is one of the most common cause of cancer mortality. Early detection through mammography screening could significantly reduce mortality from breast cancer. However, most of screening methods may consume large amount of resources. We pro...

Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.

HPB : the official journal of the International Hepato Pancreato Biliary Association
INTRODUCTION: As many as 3% of computed tomography (CT) scans detect pancreatic cysts. Because pancreatic cysts are incidental, ubiquitous and poorly understood, follow-up is often not performed. Pancreatic cysts may have a significant malignant pote...

Do We Still Need Randomized Controlled Trials to Support Use of New Methods of Breast Cancer Screening?

Journal of breast imaging
Randomized controlled trials (RCTs) have confirmed the mortality benefits of screening mammography and are the gold standard for evaluating new diagnostic tests and medical interventions. Reliable and rigorous execution of RCTs can be complex and req...

Improved Breast Cancer Detection with Artificial Intelligence in a Real-World Digital Breast Tomosynthesis Screening Program.

Clinical breast cancer
OBJECTIVE: The purpose of this study is to compare radiologists' breast cancer screening performance before and after the implementation of an artificial intelligence (AI) detection system for digital breast tomosynthesis (DBT).

Ovarian Cancer Screening: Recommendations and Future Prospects.

RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
Ovarian cancer remains a significant cause of mortality among women, largely due to challenges in early detection. Current screening strategies, including transvaginal ultrasound and CA125 testing, have limited sensitivity and specificity, particular...

Early Lung Cancer Patient Journey in Singapore: Challenges and Recommendations.

Asia-Pacific journal of clinical oncology
Early detection of lung cancer is crucial for improving survival rates because it allows for potentially curative treatments; however, most lung cancer cases in Singapore are diagnosed at advanced stages. This review article provides an overview of c...

Artificial intelligence-assisted diagnosis of early gastric cancer: present practice and future prospects.

Annals of medicine
Gastric cancer (GC) occupies the first few places in the world among tumors in terms of incidence and mortality, causing serious harm to human health, and at the same time, its treatment greatly consumes the health care resources of all countries in ...