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Artificial Intelligence Technology-Based Medical Information Processing and Emergency First Aid Nursing Management.

Computational and mathematical methods in medicine
This study was aimed at exploring the new management mode of medical information processing and emergency first aid nursing management under the new artificial intelligence technology. This study will use the artificial intelligence algorithm to opti...

Effects of age, gender, and hemisphere on cerebrovascular hemodynamics in children and young adults: Developmental scores and machine learning classifiers.

PloS one
A constant blood supply to the brain is required for mental function. Research with Doppler ultrasonography has important clinical value and burgeoning potential with machine learning applications in studies predicting gestational age and vascular ag...

Technique of en bloc resection of the membranous urethra and bladder during robot-assisted radical cystectomy in patients without simultaneous urethrectomy.

Asian journal of endoscopic surgery
INTRODUCTION: Prophylactic urethrectomy is often performed simultaneously with radical cystectomy (RC) in patients who are not selected for neobladder creation for urinary diversion. However, the indications for prophylactic urethrectomy are still co...

Spatiotemporal sentiment variation analysis of geotagged COVID-19 tweets from India using a hybrid deep learning model.

Scientific reports
India is a hotspot of the COVID-19 crisis. During the first wave, several lockdowns (L) and gradual unlock (UL) phases were implemented by the government of India (GOI) to curb the virus spread. These phases witnessed many challenges and various day-...

Assessing central serous chorioretinopathy with deep learning and multiple optical coherence tomography images.

Scientific reports
Central serous chorioretinopathy (CSC) is one of the most common macular diseases that can reduce the quality of life of patients. This study aimed to build a deep learning-based classification model using multiple spectral domain optical coherence t...

Semantic segmentation of COVID-19 lesions with a multiscale dilated convolutional network.

Scientific reports
Automatic segmentation of infected lesions from computed tomography (CT) of COVID-19 patients is crucial for accurate diagnosis and follow-up assessment. The remaining challenges are the obvious scale difference between different types of COVID-19 le...

Inferring protein expression changes from mRNA in Alzheimer's dementia using deep neural networks.

Nature communications
Identifying the molecular systems and proteins that modify the progression of Alzheimer's disease and related dementias (ADRD) is central to drug target selection. However, discordance between mRNA and protein abundance, and the scarcity of proteomic...

Constructing neural network models from brain data reveals representational transformations linked to adaptive behavior.

Nature communications
The human ability to adaptively implement a wide variety of tasks is thought to emerge from the dynamic transformation of cognitive information. We hypothesized that these transformations are implemented via conjunctive activations in "conjunction hu...

Incidental finding of a congenital unilateral absence of the vas deferens during robotic inguinal hernia repair: missing a crucial landmark. A case report.

Acta chirurgica Belgica
INTRODUCTION: We report on a case of congenital unilateral atresia of the vas deferens encountered during a robotic-assisted transabdominal preperitoneal (TAPP) inguinal hernia repair.

Mid-term functional outcomes of extraperitoneal robot-assisted simple prostatectomy: a single centre experience.

Journal of robotic surgery
For large prostate volume, open simple prostatectomy (OSP) or holmium laser enucleation are the gold standard surgical treatment medical therapy failure. Robot-assisted simple prostatectomy (RASP) has recently been proposed as an alternative to OSP a...