Objectives This study investigated the impact of heat on the risk of hospital admission due to a range of health conditions in England. Design We used records of over 4 million hospital admissions in ...
Riverine heat wave events—periods of abnormally high riverine water temperatures (WT)—can substantially impair aquatic ecosystems, water quality, and food and energy production. However, comprehensive ...
AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...
Background Globally, up to 17% of hospitalised people suffer a patient safety incident. Learning from adverse events through patient safety investigation is critical to prevention; however, their ...
Background Diabetic retinopathy (DR) is a leading cause of blindness in adults worldwide. Artificial intelligence (AI) with autonomous deep learning algorithms has been increasingly used in retinal ...
MicroRNAs (miRNAs) are of significance in tuning and buffering gene expression. Despite abundant analysis tools that have been developed in the last two decades, plant miRNA identification from ...
Methods Using four international lung cancer screening studies, we extracted 2060 radiomic features for each of 16 797 nodules (513 malignant) among 6865 participants. After filtering out low-quality ...
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 ...
The clinical presentations of early idiopathic Parkinson disease (IPD) substantially overlap with those of atypical parkinsonian syndromes such as multiple system atrophy (MSA) and progressive ...
Correspondence to Dr Diana Bonderman, Department of Internal Medicine II, Medical University of Vienna, Wien, Austria; diana.bonderman{at}meduniwien.ac.at Background Diagnosis of cardiac amyloidosis ...
Background In recent years, machine learning (ML) has had notable success in providing automated analyses of neuroimaging studies, and its role is likely to increase in the future. Thus, it is ...
Background: Clinical impact of transcranial direct current stimulation (tDCS) alone for Parkinson's disease (PD) is still a challenge. Thus, there is a need to synthesize available results, analyze ...
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