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