Recent advances in applying machine learning and deep learning to detect upper gastrointestinal tract lesions
The clinical application of a real-time artificial intelligence (AI) image processing system to
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …
diagnose upper gastrointestinal (GI) malignancies remains an experimental research and …
[PDF][PDF] Better metrics for evaluating explainable artificial intelligence
A Rosenfeld - Proceedings of the 20th international conference …, 2021 - researchgate.net
This paper presents objective metrics for how explainable artificial intelligence (XAI) can be
quantified. Through an overview of current trends, we show that many explanations are …
quantified. Through an overview of current trends, we show that many explanations are …
Illness severity assessment of older adults in critical illness using machine learning (ELDER-ICU): an international multicentre study with subgroup bias evaluation
Background Comorbidity, frailty, and decreased cognitive function lead to a higher risk of
death in elderly patients (more than 65 years of age) during acute medical events. Early and …
death in elderly patients (more than 65 years of age) during acute medical events. Early and …
Artificial intelligence in the management of barrett's esophagus and early esophageal adenocarcinoma
FL Dumoulin, FD Rodriguez-Monaco, A Ebigbo… - Cancers, 2022 - mdpi.com
Simple Summary Esophageal adenocarcinoma is increasing in incidence and is the most
common subtype of esophageal cancer in Western societies. AI systems are currently under …
common subtype of esophageal cancer in Western societies. AI systems are currently under …
Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine
Background Recognising the early signs of ischemic stroke (IS) in emergency settings has
been challenging. Machine learning (ML), a robust tool for predictive, preventive and …
been challenging. Machine learning (ML), a robust tool for predictive, preventive and …
Development and validation of a diagnostic aid for convulsive epilepsy in sub-Saharan Africa: a retrospective case-control study
Background Identification of convulsive epilepsy in sub-Saharan Africa relies on access to
resources that are often unavailable. Infrastructure and resource requirements can further …
resources that are often unavailable. Infrastructure and resource requirements can further …
Integration of infant metabolite, genetic, and islet autoimmunity signatures to predict type 1 diabetes by age 6 years
BJM Webb-Robertson, ES Nakayasu… - The Journal of …, 2022 - academic.oup.com
Context Biomarkers that can accurately predict risk of type 1 diabetes (T1D) in genetically
predisposed children can facilitate interventions to delay or prevent the disease. Objective …
predisposed children can facilitate interventions to delay or prevent the disease. Objective …
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic …
Cancer remains a leading reason of mortality, with the current global death toll estimated at
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
10 million and projected to surpass 16 million by 2040 as reported by the World Health …
Screening for Barrett's oesophagus: are we ready for it?
A Yusuf, RC Fitzgerald - Current treatment options in gastroenterology, 2021 - Springer
Purpose of review The targeted approach adopted for Barrett's oesophagus (BO) screening
is sub-optimal considering the large proportion of BO cases that are currently missed. We …
is sub-optimal considering the large proportion of BO cases that are currently missed. We …
[HTML][HTML] Development and validation of a multivariable risk factor questionnaire to detect oesophageal cancer in 2-week wait patients
KMA Ho, A Rosenfeld, Á Hogan, H McBain… - Clinics and Research in …, 2023 - Elsevier
Introduction Oesophageal cancer is associated with poor health outcomes. Upper GI (UGI)
endoscopy is the gold standard for diagnosis but is associated with patient discomfort and …
endoscopy is the gold standard for diagnosis but is associated with patient discomfort and …