Primary Care

Latest AI and machine learning research in primary care for healthcare professionals.

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Prediction of Intracranial Aneurysm Risk using Machine Learning.

An efficient method for identifying subjects at high risk of an intracranial aneurysm (IA) is warran...

LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening.

Comparative evaluation of virtual screening methods requires a rigorous benchmarking procedure on di...

Artificial intelligence for early prediction of pulmonary hypertension using electrocardiography.

BACKGROUND: Screening and early diagnosis of pulmonary hypertension (PH) are critical for managing p...

Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling study.

BACKGROUND: Deep learning is a novel machine learning technique that has been shown to be as effecti...

Current Developments in Digital Quantitative Volume Estimation for the Optimisation of Dietary Assessment.

Obesity is a global health problem with wide-reaching economic and social implications. Nutrition su...

AI for reading screening mammograms: the need for circumspection.

• The studies on AI reading of screening mammograms have methodological limitations that undermine t...

Artificial Intelligence in Dentistry: Chances and Challenges.

The term "artificial intelligence" (AI) refers to the idea of machines being capable of performing h...

Artificial Intelligence: The Future for Diabetes Care.

Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pand...

Automatic assessment of Alzheimer's disease diagnosis based on deep learning techniques.

Early detection is crucial to prevent the progression of Alzheimer's disease (AD). Thus, specialists...

Artificial Intelligence and Digital Tools: Future of Diabetes Care.

Diabetes mellitus has become a global threat, especially in the emerging economies. In the United St...

Application of deep learning image assessment software VeriSeeā„¢ for diabetic retinopathy screening.

PURPOSE: To develop a deep learning image assessment software VeriSeeā„¢ and to validate its accuracy ...

Selected Papers from 2019 IEEE Eurasia Conference on Biomedical Engineering, Healthcare and Sustainability (IEEE ECBIOS 2019).

Recently, healthcare has undergone a sector-wide transformation thanks to advances in computing, net...

Contemporary Rates and Predictors of Open Conversion During Minimally Invasive Radical Prostatectomy for Nonmetastatic Prostate Cancer.

To test contemporary rates and predictors of open conversion at minimally invasive (laparoscopic or...

Rapid screening of hepatitis B using Raman spectroscopy and long short-term memory neural network.

This study presents a rapid method to screen hepatitis B patients using serum Raman spectroscopy com...

How Artificial Intelligence Will Impact Colonoscopy and Colorectal Screening.

Artificial intelligence may improve value in colonoscopy-based colorectal screening and surveillance...

Disease prediction via Bayesian hyperparameter optimization and ensemble learning.

OBJECTIVE: Early disease screening and diagnosis are important for improving patient survival. Thus,...

Towards implementation of AI in New Zealand national diabetic screening program: Cloud-based, robust, and bespoke.

Convolutional Neural Networks (CNNs) have become a prominent method of AI implementation in medical ...

Systems metabolomics: from metabolomic snapshots to design principles.

Metabolomics is a rapidly expanding technology that finds increasing application in a variety of fie...

Uncertainty-Quantified Hybrid Machine Learning/Density Functional Theory High Throughput Screening Method for Crystals.

Computational high throughput screening (HTS) has emerged as a significant tool in material science ...

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