Latest AI and machine learning research in practice management for healthcare professionals.
BACKGROUND: The cardiothoracic ratio (CTR) is estimated by dividing cardiac width by thoracic width. The Area Deprivation Index (ADI) is a metric to quantify socioeconomic conditions. This study investigates the use of artificial intelligence (AI) to identify elevated CTR as a predictor for heart failure (HF) and mortality and assessed ADI's influence on these risks. METHODS: This retrospective co...
Infant affect is often expressed through facial expressions, making this modality a key source of insight into the child's well-being and social functioning. Computational inference of infant affect could critically assist both researchers and clinicians working with infant development and mitigate the need for manual coding. While many studies have explored open-source solutions in the adult doma...
Psoriasis is a chronic, immune-mediated skin disorder characterized by keratinocyte hyperproliferation, impaired differentiation, and sustained inflam...
BACKGROUND: Suicide and self-harm are significant issues globally. Accurate, efficient and comprehensive data are required to identify people who pres...
INTRODUCTION: Although personality functioning has a long psychodynamic tradition and has received renewed interest in psychotherapy research with the...
Implicit motives have a clear relation to observed behavior but are time-consuming to measure. Automating the content coding of implicit motives has b...
INTRODUCTION: Black women in early midlife experience disproportionate exposure to stress and elevated cardiovascular risk, including hypertension. De...
Lack of nutrient-rich food consumption is considered an important underlying factor affecting the healthy development of children, and can lead to dev...
The Harvard-Emory ECG Database (HEEDB) is currently the largest open-access collection of 12-lead electrocardiogram (ECG) recordings, developed throug...
Recent studies show that there's a link between liver problems and how well someone does after having a stroke. The platelet-albumin-bilirubin (palbi)...
OBJECTIVE: Non-coding RNAs (ncRNAs) are involved in various important biological processes, relevant disease biomarkers and therapeutic agents. Howeve...
INTRODUCTION: Artificial intelligence (AI) can complete tasks that once required human cognitive effort. As a result, assessments that traditionally m...
BACKGROUND: Traditional cognitive screening relies on episodic clinical assessments and may miss early changes preceding cognitive impairment and deme...
BACKGROUND: Machine learning models are increasingly used to predict patients at risk of high health care usage for targeted interventions. OBJECTIVE:...
PURPOSE: This study aims to test whether week-long wrist accelerometry combined with deep learning can (i) distinguish healthy individuals from people...
Speech errors have been instrumental in advancing our understanding of the architecture of the language production system, the nature of its represent...
Artificial intelligence (AI) is transforming task optimization across many occupations, particularly within the IT sector. Understanding how IT profes...
BACKGROUND AND OBJECTIVES: The artificial intelligence (AI) field holds significant promise to revolutionize healthcare, including transfusion medicin...
Electrochemical biosensors represent an advanced and novel technology for the sensitive and specific detection of clinically relevant biomarkers. Of t...
Sudden cardiac death (SCD) remains one of the leading causes of death despite major advances in cardiovascular diagnostics and treatment. Evidence sup...