AIMC Topic: Early Detection of Cancer

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Enhancing breast cancer diagnosis through machine learning algorithms.

Scientific reports Jul 2, 2025
Among the most important health concerns in the world, and the number one cause of death in women, is breast cancer. Bearing in mind that there are more than 100 types of cancer, each presenting different symptoms, its early detection is indeed a big...
Prognosis Female Breast Neoplasms Early Detection of Cancer Humans Machine Learning Algorithms
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A novel double machine learning approach for detecting early breast cancer using advanced feature selection and dimensionality reduction techniques.

Scientific reports Jul 2, 2025
In this paper, three Double Machine Learning (DML) models are proposed to enhance the accuracy of breast cancer detection using machine learning techniques using breast cancer detection dataset. The DML models learn the primary features using machine...
Dimensionality Reduction Female Breast Neoplasms Early Detection of Cancer Machine Learning Humans Algorithms Neural Networks, Computer
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AI-driven genetic algorithm-optimized lung segmentation for precision in early lung cancer diagnosis.

Scientific reports Jul 2, 2025
Lung cancer remains the leading cause of cancer-related mortality worldwide, necessitating accurate and efficient diagnostic tools to improve patient outcomes. Lung segmentation plays a pivotal role in the diagnostic pipeline, directly impacting the ...
Artificial Intelligence Algorithms Tomography, X-Ray Computed Humans Neural Networks, Computer Genetic Algorithms Lung Lung Neoplasms Early Detection of Cancer
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Innovative deep learning classifiers for breast cancer detection through hybrid feature extraction techniques.

Scientific reports Jul 1, 2025
Breast cancer remains a major cause of mortality among women, where early and accurate detection is critical to improving survival rates. This study presents a hybrid classification approach for mammogram analysis by combining handcrafted statistical...
Mammography Algorithms Female Breast Neoplasms Deep Learning Image Processing, Computer-Assisted Early Detection of Cancer Humans Neural Networks, Computer
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Enhancing ultrasonographic detection of hepatocellular carcinoma with artificial intelligence: current applications, challenges and future directions.

BMJ open gastroenterology Jul 1, 2025
BACKGROUND: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, with early detection playing a crucial role in improving survival rates. Artificial intelligence (AI), particularly in medical image analysis, h...
Humans Artificial Intelligence Deep Learning Early Detection of Cancer Ultrasonography Liver Neoplasms Carcinoma, Hepatocellular
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Harnessing artificial intelligence for detection of pancreatic cancer: a machine learning approach.

Clinical and experimental medicine Jul 1, 2025
PURPOSE: Pancreatic cancer (PC) is one of the most lethal malignancies, often presenting with nonspecific symptoms and a dismal prognosis. Despite advancements in treatments, the 5-year survival rate remains low, highlighting the urgent need for effe...
Pancreatic Neoplasms Porphyromonas gingivalis Aggregatibacter actinomycetemcomitans Case-Control Studies Early Detection of Cancer MicroRNAs Machine Learning Female Humans Male Aged Sensitivity and Specificity Artificial Intelligence Middle Aged Biomarkers, Tumor
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Taking the Guess Work Out of Endoscopic Polyp Measurement: From Traditional Methods to AI.

Journal of clinical gastroenterology Jul 1, 2025
Colonoscopy is a crucial tool for evaluating lower gastrointestinal disease, monitoring high-risk patients for colorectal neoplasia, and screening for colorectal cancer. In the United States, over 14 million colonoscopies are performed annually, with...
Colonoscopy Early Detection of Cancer Colonic Polyps Humans Artificial Intelligence Colorectal Neoplasms
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Using a Multilingual AI Care Agent to Reduce Disparities in Colorectal Cancer Screening for Higher Fecal Immunochemical Test Adoption Among Spanish-Speaking Patients: Retrospective Analysis.

Journal of medical Internet research Jun 25, 2025
BACKGROUND: Colorectal cancer (CRC) screening rates remain disproportionately low among Hispanic and Latino populations compared to non-Hispanic White populations. While artificial intelligence (AI) shows promise in health care delivery, concerns exi...
Humans Male Middle Aged Early Detection of Cancer Pennsylvania Female Healthcare Disparities Artificial Intelligence Multilingualism Aged Hispanic or Latino Retrospective Studies White Colorectal Neoplasms Occult Blood Language
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Patient acceptability of CITOBOT for cervical cancer screening: A mixed-method study.

PloS one Jun 24, 2025
This study assessed the acceptability of CITOBOT, a device for early cervical cancer screening in a real-world pilot setting as part of a translational research project aimed at designing and clinically validating a portable, cost-effective device su...
Female Aged Adult Humans Retrospective Studies Uterine Cervical Neoplasms Patient Acceptance of Health Care Middle Aged Early Detection of Cancer Pilot Projects Colombia
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Predicting Early-Onset Colorectal Cancer in Individuals Below Screening Age Using Machine Learning and Real-World Data: Case Control Study.

JMIR cancer Jun 19, 2025
BACKGROUND: Colorectal cancer is now the leading cause of cancer-related deaths among young Americans. Accurate early prediction and a thorough understanding of the risk factors for early-onset colorectal cancer (EOCRC) are vital for effective preven...
Age of Onset Colorectal Neoplasms Female Humans Case-Control Studies Risk Factors Male Machine Learning Age Factors Adult Electronic Health Records Middle Aged Early Detection of Cancer
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