Artificial intelligence (AI) stands at the threshold of revolutionizing clinical oncology, with
considerable potential to improve early cancer detection and risk assessment, and to enable …

Background Physiological parameter monitoring based on photoplethysmography (PPG)
detection has the advantage of fast, portable, and non-invasive. Changes in the morphology …

Background Clinical medicine offers a promising arena for applying Machine Learning (ML)
models. However, despite numerous studies employing ML in medical data analysis, only a …

Scans without evidence of dopamine deficit (SWEDD) refer to patients with a normal
dopamine transporter scan who have been clinically considered to have Parkinson's …

Background Hypertension is the fifth chronic disease causing death worldwide. The early
prognosis and diagnosis are critical in the hypertension care process. Inspired by human …

Quantification, variously called supervised prevalence estimation or learning to quantify, is
the supervised learning task of generating predictors of the relative frequencies (aka …

Parkinson's disease is often considered as a “movement disorder”. Nevertheless, People
with Parkinson's (PwPD) may also experience other non-motor symptoms, such as …

Blood pressure (BP) monitoring via cuffless devices has gained significant attention in the
last few years. Despite a plethora of works having been produced in this field based on …

Background: We investigated the potential predictive value along with interpretability of the
three-dimensional wavelet decomposition (3D-WD)-based radiomics analysis for …

Quantification, variously called supervised prevalence estimation or learning to quantify, is
the supervised learning task of generating predictors of the relative frequencies (aka …