The Print on MSN

AI models to predict stroke, diabetes were built on unverifiable data, says study

The study published in the journal BMC Medicine was led by researchers at the Queensland University of Technology and the ...
Tech Xplore

Hybrid AI model cuts financial forecasting error across stocks and crypto

A hybrid artificial intelligence model that combines two well-established deep learning techniques has improved the accuracy ...
BMJ

Prediction of short-term atrial fibrillation risk using primary care electronic health records

Objective Atrial fibrillation (AF) screening by age achieves a low yield and misses younger individuals. We aimed to develop an algorithm in nationwide routinely collected primary care data to predict ...
Frontiers

Continuous glucose monitoring combined with artificial intelligence: redefining the pathway for prediabetes management

Prediabetes represents an early stage of glucose metabolism disorder with significant public health implications. Although traditional lifestyle interventions have demonstrated some efficacy in ...
BMJ

Developing clinical prediction models: a step-by-step guide

Predicting future outcomes of patients is essential to clinical practice, with many prediction models published each year. Empirical evidence suggests that published studies often have severe ...
BMJ

Predicting the risks of kidney failure and death in adults with moderate to severe chronic kidney disease

The risk prediction model for kidney failure and death in people with chronic kidney disease (CKD) presented in the linked study is a super learner. A super learner is an algorithm that repeatedly ...
BMJ

Independent external validation of the QRISK3 cardiovascular disease risk prediction model using UK Biobank

Objective To externally evaluate the performance of QRISK3 for predicting 10 year risk of cardiovascular disease (CVD) in the UK Biobank cohort. Methods We used data from the UK Biobank, a large-scale ...
gut.bmj

Gestational diabetes is driven by microbiota-induced inflammation months before diagnosis

Objective Gestational diabetes mellitus (GDM) is a condition in which women without diabetes are diagnosed with glucose intolerance during pregnancy, typically in the second or third trimester. Early ...
snmjournals.org

Deep Learning Coronary Artery Calcium Scores from SPECT/CT Attenuation Maps Improve Prediction of Major Adverse Cardiac Events

Details of MPI and CTAC image acquisition and interpretation are available in the supplemental materials (16). Additional details on the training population are in Supplemental Table 1. Two separate ...
AAAS

Science NetLinks

We apologize that the Science NetLinks website is unavailable. Unfortunately, the server and website became unstable and a security risk so the website needed to be taken down immediately. We ...
BMJ

Severe acute kidney injury predicting model based on transcontinental databases: a single-centre prospective study

We predicted the diagnosis of severe AKI in patients in the next 48 hours using machine-learning algorithms with the three databases. Then, we carried out real-time severe AKI prediction in the ...
BMJ

Predictive model and risk analysis for diabetic retinopathy using machine learning: a retrospective cohort study in China

3 Medical Big Data Research Center, Medical Innovation Research Division of Chinese PLA General Hospital, Beijing, China Objective Aiming to investigate diabetic retinopathy (DR) risk factors and ...