Academic Articles & Research Papers

Performance of risk prediction models for pancreatic cancer in patients with new-onset diabetes: a systematic review and meta-analysis.

Geospatial suicide risk prediction in the State of Maryland and the limits of discernible intent.

Immune and inflammatory radiogenomics of radiotherapy-induced normal-tissue toxicity: genetic susceptibility, mechanisms, risk prediction, and clinical translation.

Candidate molecular endotypes and dynamic risk prediction in anti-MDA5-positive dermatomyositis-associated interstitial lung disease: a systematic scoping review.

Development and Validation of a Nonremission Risk Prediction Model in First-Episode Psychosis: An Analysis of 2 Longitudinal Studies.

Development and validation of a dementia risk prediction model for low- and middle-income countries: the 10/66 study.

Charlson comorbidity index has no incremental value for mortality risk prediction in nursing home residents with COVID-19 disease

Abstract Background During the COVID-19 pandemic, nursing home (NH) residents faced the highest risk of severe COVID-19 disease and mortality. Due to their frailty status, comorbidity burden can serve as a useful predictive indicator of vul...

Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers

In cancer many gene variants may contribute to disease etiology, but the impact of a given gene variant may have varied effect size. Here, the authors analyse summary statistics of genome-wide association studies from fourteen cancers, and ...

Application of TyG index and carotid ultrasound parameters in the prediction of ischemic stroke

ObjectiveThe triglyceride - glucose (TyG) index has been confirmed as an independent risk factor for ischemic stroke (IS) in numerous studies. In terms of the role of carotid ultrasound in the risk assessment of IS, the focus has shifted fr...

A Prospective, Randomized Trial Comparing Hydromorphone and Nalbuphine for Postcesarean Patient-Controlled Analgesia and Developing a Risk Prediction Model for Inadequate Analgesia

Kaiwen Zhang,1,* Jiaoli Sun,1,* Caixia Zhang,2 Bo Jiao,1 Wencui Zhang,1 Shangchen Yu,1 Xueqin Cao,1 Zhiqiang Zhou,1 Guanglei Zhang,1 Xianwei Zhang1 1Department of Anesthesiology and Pain Medicine,Hubei Key Laboratory of Geri...

Predicting hospital admissions from individual patient data (IPD): an applied example to explore key elements driving external validity

Objective To explore factors that potentially impact external validation performance while developing and validating a prognostic model for hospital admissions (HAs) in complex older general practice patients.Study design and setting Using ...

Seroprevalence of dengue, yellow fever, and related flaviviruses among the rural human population in Nguruman and Kerio Valley, Kenya

BackgroundYellow fever virus (YFV) and dengue virus (DENV) are among the major re-emerging arboviruses that pose a significant threat to public health. Their associated burden and prevalence can be substantially underestimated due to insuff...

Developing Clinical Risk Prediction Models for Worsening Heart Failure Events and Death by Left Ventricular Ejection Fraction

Background There is a need to develop electronic health record–based predictive models for worsening heart failure (WHF) events across clinical settings and across the spectrum of left ventricular ejection fraction (LVEF). Methods and Resul...

Natural Language Processing of Clinical Notes on Chronic Diseases: Systematic Review

BACKGROUND: Novel approaches that complement and go beyond evidence-based medicine are required in the domain of chronic diseases, given the growing incidence of such conditions on the worldwide population. A promising avenue is the seconda...

From Data to Decisions: AI in Varicose Veins—Predicting, Diagnosing, and Guiding Effective Management

Background: Varicose veins (VVs) of the lower limbs, characterized by palpable, dilated, and tortuous veins, affect 2–73% of the global population. Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency a...

Computer Vision Analysis of Intraoperative Video

OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG). BACKGROUND: Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by comput...

Artificial neural networks

Artificial neural networks now are used in many fields. They have become well established as viable, multipurpose, robust computational methodologies with solid theoretic support and with strong potential to be effective in any discipline, ...

An explainable machine learning framework for cross-dataset chronic kidney disease risk prediction using hybrid data balancing.

Machine learning in cardiovascular medicine: are we there yet?

Artificial intelligence (AI) broadly refers to analytical algorithms that iteratively learn from data, allowing computers to find hidden insights without being explicitly programmed where to look. These include a family of operations encomp...

A diagnostic model based on clinical indicators and radiomics features for superior labral anterior and posterior lesions in the shoulder joint

Background Superior labrum anterior and posterior (SLAP) lesions are a common cause of shoulder pain and instability. Accurate diagnosis remains challenging in clinical practice. This study aims to develop and evaluate radiomics models and ...