From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment
Machine learning (ML) is increasingly used in clinical oncology to diagnose cancers, predict
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …
patient outcomes, and inform treatment planning. Here, we review recent applications of ML …
Randomized clinical trials of machine learning interventions in health care: a systematic review
Importance Despite the potential of machine learning to improve multiple aspects of patient
care, barriers to clinical adoption remain. Randomized clinical trials (RCTs) are often a …
care, barriers to clinical adoption remain. Randomized clinical trials (RCTs) are often a …
Colorectal cancer incidence, mortality, and stage distribution in European countries in the colorectal cancer screening era: an international population-based study
Background Colorectal cancer screening programmes and uptake vary substantially across
Europe. We aimed to compare changes over time in colorectal cancer incidence, mortality …
Europe. We aimed to compare changes over time in colorectal cancer incidence, mortality …
History of artificial intelligence in medicine
V Kaul, S Enslin, SA Gross - Gastrointestinal endoscopy, 2020 - Elsevier
Artificial intelligence (AI) was first described in 1950; however, several limitations in early
models prevented widespread acceptance and application to medicine. In the early 2000s …
models prevented widespread acceptance and application to medicine. In the early 2000s …
[HTML][HTML] Impact of artificial intelligence on miss rate of colorectal neoplasia
Abstract Background & Aims Artificial intelligence (AI) may detect colorectal polyps that have
been missed due to perceptual pitfalls. By reducing such miss rate, AI may increase the …
been missed due to perceptual pitfalls. By reducing such miss rate, AI may increase the …
[HTML][HTML] Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study
Background Artificial intelligence (AI) tools increase detection of precancerous polyps during
colonoscopy and might contribute to long-term colorectal cancer prevention. The aim of the …
colonoscopy and might contribute to long-term colorectal cancer prevention. The aim of the …
Performance of artificial intelligence in colonoscopy for adenoma and polyp detection: a systematic review and meta-analysis
C Hassan, M Spadaccini, A Iannone, R Maselli… - Gastrointestinal …, 2021 - Elsevier
Background and Aims One-fourth of colorectal neoplasia are missed at screening
colonoscopy, representing the main cause of interval colorectal cancer. Deep learning …
colonoscopy, representing the main cause of interval colorectal cancer. Deep learning …
Real-time computer-aided detection of colorectal neoplasia during colonoscopy: a systematic review and meta-analysis
C Hassan, M Spadaccini, Y Mori… - Annals of Internal …, 2023 - acpjournals.org
Background: Artificial intelligence computer-aided detection (CADe) of colorectal neoplasia
during colonoscopy may increase adenoma detection rates (ADRs) and reduce adenoma …
during colonoscopy may increase adenoma detection rates (ADRs) and reduce adenoma …
Artificial intelligence and colonoscopy experience: lessons from two randomised trials
A Repici, M Spadaccini, G Antonelli, L Correale… - Gut, 2022 - gut.bmj.com
Background and aims Artificial intelligence has been shown to increase adenoma detection
rate (ADR) as the main surrogate outcome parameter of colonoscopy quality. To which …
rate (ADR) as the main surrogate outcome parameter of colonoscopy quality. To which …
[HTML][HTML] Deep learning computer-aided polyp detection reduces adenoma miss rate: a United States multi-center randomized tandem colonoscopy study (CADeT-CS …
JRG Brown, NM Mansour, P Wang… - Clinical …, 2022 - Elsevier
Background & Aims Artificial intelligence-based computer-aided polyp detection (CADe)
systems are intended to address the issue of missed polyps during colonoscopy. The effect …
systems are intended to address the issue of missed polyps during colonoscopy. The effect …