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Early Detection of Cancer

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Early detection of lung cancer using artificial intelligence-enhanced optical nanosensing of chromatin alterations in field carcinogenesis.

Scientific reports
Supranucleosomal chromatin structure, including chromatin domain conformation, is involved in the regulation of gene expression and its dysregulation has been associated with carcinogenesis. Prior studies have shown that cells in the buccal mucosa ca...

The International Association for the Study of Lung Cancer Early Lung Imaging Confederation Open-Source Deep Learning and Quantitative Measurement Initiative.

Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer
INTRODUCTION: With global adoption of computed tomography (CT) lung cancer screening, there is increasing interest to use artificial intelligence (AI) deep learning methods to improve the clinical management process. To enable AI research using an op...

Combining hyperspectral imaging techniques with deep learning to aid in early pathological diagnosis of melanoma.

Photodiagnosis and photodynamic therapy
BACKGROUND: Cutaneous melanoma, an exceedingly aggressive form of skin cancer, holds the top rank in both malignancy and mortality among skin cancers. In early stages, distinguishing malignant melanomas from benign pigmented nevi pathologically becom...

Development of Debiasing Technique for Lung Nodule Chest X-ray Datasets to Generalize Deep Learning Models.

Sensors (Basel, Switzerland)
Screening programs for early lung cancer diagnosis are uncommon, primarily due to the challenge of reaching at-risk patients located in rural areas far from medical facilities. To overcome this obstacle, a comprehensive approach is needed that combin...

Machine learning applications for early detection of esophageal cancer: a systematic review.

BMC medical informatics and decision making
INTRODUCTION: Esophageal cancer (EC) is a significant global health problem, with an estimated 7th highest incidence and 6th highest mortality rate. Timely diagnosis and treatment are critical for improving patients' outcomes, as over 40% of patients...

Uncovering cancer's secrets: could liquid biopsies and artificial intelligence hold the answers?

Future oncology (London, England)
Tweetable abstract How are #liquidbiopsies and #AI pushing us closer to the goal of early cancer detection for all? Plus, what more needs to be done to truly deciphers cancer's secrets? Find out in this editorial by @JadeParkerB.

Screening outcome for interpretation by the first and second reader in a population-based mammographic screening program with independent double reading.

Acta radiologica (Stockholm, Sweden : 1987)
BACKGROUND: Double reading of screening mammograms is associated with a higher rate of screen-detected cancer than single reading, but different strategies exist regarding reader pairing and blinding. Knowledge about these aspects is important when c...

Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis.

Radiology
Background There is considerable interest in the potential use of artificial intelligence (AI) systems in mammographic screening. However, it is essential to critically evaluate the performance of AI before it can become a modality used for independe...