Research Insights

This section focusses on the cutting-edge research and findings in the various disciplines of healthcare around the world.

Clinical applicability of deep learning-based respiratory signal prediction models for four-dimensional radiation therapy

For accurate respiration gated radiation therapy compensation for the beam latency of the beam control system is necessary Therefore we evaluate deep learning models for predicting patient respiration signals and investigate their clinical feasibility Herein long shortterm memory LSTM bidirectional LSTM BiLSTM and the Transformer

Risk factors for venous thromboembolism following fractures isolated to the foot and ankle fracture

Venous thromboembolism VTE is an uncommon but potentially morbid complication following foot and ankle fractures Current standard is to not administer thromboprophylaxis to patients with such injuries Nonetheless patient and fracture factors might affect this riskbenefit

Association of serum biomarkers with early neurologic improvement after intravenous thrombolysis in ischemic stroke

Early neurologic improvement ENI after intravenous thrombolysis is associated with favorable outcome but associated serum biomarkers were not fully determined We aimed to investigate the issue based on a prospective cohort

Prediction of the development of delirium after transcatheter aortic valve implantation using preoperative brain perfusion SPECT

Delirium is an important prognostic factor in postoperative patients undergoing cardiovascular surgery and intervention including transcatheter aortic valve implantation TAVI However delirium after transcatheter aortic valve implantation DAT is difficult to predict and its pathophysiology

Uncovering the characteristics of the gut microbiota in patients with acute ischemic stroke and phlegm-heat syndrome

Growing evidence has indicated that the characteristics of gut microbiota are associated with acute ischemic stroke AIS Phlegmheat syndrome PHS a specific pathological state of the AIS is one of the common traditional Chinese syndromes of stroke

Predicting the aggravation of coronavirus disease-19 pneumonia using chest computed tomography scans

Presently coronavirus disease COVID is spreading worldwide without an effective treatment method For COVID which is often asymptomatic it is essential to adopt a method that does not cause aggravation as well as a method to prevent infection Whether aggravation can be predicted by analyzing the extent of lung damage on chest computed tomography

Reliability of COVID-19 data: An evaluation and reflection

The rapid proliferation of COVID has left governments scrambling and several data aggregators are now assisting in the reporting of county cases and deaths The different variables affecting reporting eg time delays in reporting necessitates a welldocumented reliability study examining the data methods and discussion of possible

Variation in aorta attenuation in contrast-enhanced CT and its implications for calcification thresholds

CT contrast media improves vessel visualization but can also confound calcification measurements We evaluated variance in aorta attenuation from varied contrastenhancement scans and quantified expected plaque detection errors when thresholding for calcification

High resolution data modifies intensive care unit dialysis outcome predictions as compared with low resolution administrative data set

High resolution clinical databases from electronic health records are increasingly being used in the field of health data science Compared to traditional administrative databases and disease registries these newer highly granular clinical datasets offer several advantages including availability of detailed clinical information for machine learning...

Image-guided robotic radiosurgery for the treatment of arteriovenous malformations

Cerebral arteriovenous malformations AVMs are challenging lesions often requiring multimodal interventions however data on the efficacy of stereotactic radiosurgery for cerebral AVMs are limited This study aimed to evaluate the clinical and radiographic results following robotic radiosurgery alone or in combination with endovascular

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