Primary Care

Prior CT Improves Deep Learning for Malignancy Risk Estimation of Screening-detected Pulmonary Nodules.

Background Prior chest CT provides valuable temporal information (eg, changes in nodule size or appe...

Active Surveillance for Atypical Ductal Hyperplasia and Ductal Carcinoma In Situ.

Atypical ductal hyperplasia (ADH) and ductal carcinoma in situ (DCIS) are relatively common breast l...

Spatiotemporal Mammography-based Deep Learning Model for Improved Breast Cancer Risk Prediction.

Breast cancer is one of the most prevalent cancers among women. It is the second leading cause of de...

Automatic Chinese Food recognition based on a stacking fusion model.

With commercialization of deep learning models, daily precision dietary record based on images from ...

A Deep Learning Framework for Image-Based Screening of Kawasaki Disease.

Kawasaki disease (KD) is a leading cause of acquired heart disease in children and is characterized ...

3-LbNets: Tri-Labeling Deep Convolutional Neural Network for the Automated Screening of Glaucoma, Glaucoma Suspect, and No Glaucoma in Fundus Images.

Early detection of glaucoma, a widespread visual disease, can prevent vision loss. Unfortunately, op...

Alzheimer's Together with Mild Cognitive Impairment Screening Using Polar Transformation of Middle Zone of Fundus Images Based Deep Learning.

Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) are considered an increasing major heal...

Comparative analysis of deep learning methods for lesion detection on full screening mammography.

Breast cancer is the most prevalent type of cancer in women. Although mammography is used as the mai...

Exacerbations of COPD.

COPD exacerbations are associated with significant morbidity, mortality, and increased health care e...

US Quantification of Liver Fat: Past, Present, and Future.

Fatty liver disease has a high and increasing prevalence worldwide, is associated with adverse cardi...

Artificial intelligence in diabetes mellitus and endocrine diseases - what can we expect?

Predicting Long-Term Type 2 Diabetes with Artificial Intelligence (AI): A Scoping Review.

Type 2 diabetes mellitus (T2DM) is a chronic metabolic disorder that affects a significant portion o...

Scoping Review: Legal and Ethical Principles of Artificial Intelligence in Public Health.

The growing accessibility of large health datasets and AI's ability to analyze them offers significa...

[Evidence synthesis 2.0: how artificial intelligence is making systematic reviews more efficient.].

Systematic reviews (SRs) are essential tools for synthesising the available scientific evidence on a...

Using machine learning to realize genetic site screening and genomic prediction of productive traits in pigs.

Genomic prediction, which is based on solving linear mixed-model (LMM) equations, is the most popula...

Use of Artificial Intelligence for Digital Breast Tomosynthesis Screening: A Preliminary Real-world Experience.

OBJECTIVE: The purpose of this study is to assess the "real-world" impact of an artificial intellige...

Artificial Intelligence as Supporting Reader in Breast Screening: A Novel Workflow to Preserve Quality and Reduce Workload.

OBJECTIVE: To evaluate the effectiveness of a new strategy for using artificial intelligence (AI) as...

The evolution of cancer genomic medicine in Japan and the role of the National Cancer Center Japan.

The journey to implement cancer genomic medicine (CGM) in oncology practice began in the 1980s, whic...

Anticipating artificial intelligence in mammography screening: views of Swedish breast radiologists.

OBJECTIVES: Artificial intelligence (AI) is increasingly tested and integrated into breast cancer sc...

Potential and Pitfalls of ChatGPT and Natural-Language Artificial Intelligence Models for Diabetes Education.

[Does artificial intelligence have a role in osteoporosis management?].

The individual and societal burden of osteoporosis is high and will continue to increase due to the ...