Hospital-Based Medicine

Latest AI and machine learning research in hospital-based medicine for healthcare professionals.

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The effects of deep network topology on mortality prediction.

Deep learning has achieved remarkable results in the areas of computer vision, speech recognition, n...

Visualizing patient journals by combining vital signs monitoring and natural language processing.

This paper presents a data-driven approach to graphically presenting text-based patient journals whi...

A machine learning framework for auto classification of imaging system exams in hospital setting for utilization optimization.

In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for vari...

Robotic-Assisted Simple Prostatectomy: An Overview.

Despite widespread use of medical therapy for benign prostatic hyperplasia, a need remains for robus...

LEGO Mindstorms NXT for elderly and visually impaired people in need: A platform.

This paper presents the employment of LEGO Mindstorms NXT robotics as core component of low cost mul...

Comparison of aglycon and glycosidic saponin extracts of tuber against spp.

BACKGROUND AND PURPOSE: Candidiasis, an important fungal infection, is considered the fourth most co...

[The clinical condition and treatment of diseases associated with sudden death].

The Hokkaido Medical Society is a group of doctors and medical researchers in Hokkaido. Its purpose ...

Improving efficiency in robotic theatres in the Royal Wolverhampton NHS Trust: a gynaecology theatres perspective.

Improving efficiency within the operating theatre is always a key concern when running a successful ...

Conflicting results of robot-assisted versus usual gait training during postacute rehabilitation of stroke patients: a randomized clinical trial.

Robot gait training has the potential to increase the effectiveness of walking therapy. Clinical out...

Interleukin-6 and interleukin-8 in diagnosing neonatal septicemia.

Neonatal septicemia (NS) is a common cause of death of newborn infants, hence early diagnosis and tr...

Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

For hospitals' admission management, the ability to predict length of stay (LOS) as early as in the ...

Application of transit data analysis and artificial neural network in the prediction of discharge of Lor River, NW Spain.

Transit data analysis and artificial neural networks (ANNs) have proven to be a useful tool for char...

Discussion on robot-assisted laparoscopic cystectomy and Ileal neobladder surgery preoperative care.

To investigate the clinical applications of robot-assisted radical cystectomy with orthotopic ileal ...

Prediction of Lumbar Disc Herniation Patients' Satisfaction with the Aid of an Artificial Neural Network.

AIM: To identify key determinants of lumbar disc herniation (LDH) patients' satisfaction and to eval...

A Retrospective Study to Evaluate Use of Negative Pressure Wound Therapy in Patients Undergoing Bilateral Internal Thoracic Artery Grafting.

Bilateral internal thoracic artery (BITA) grafting may be associated with a higher risk of postopera...

Postoperative Bleeding After Administration of a Single Dose of Rivaroxaban to a Patient Receiving Antiretroviral Therapy.

A 62-year-old man was admitted to hospital for elective revision of a left total hip arthroplasty. H...

Understanding Emergency Department 72-Hour Revisits Among Medicaid Patients Using Electronic Healthcare Records.

Electronic Healthcare Records (EHRs) have the potential to improve healthcare quality and to decreas...

Robotic Total Gastrectomy With Intracorporeal Robot-Sewn Anastomosis: A Novel Approach Adopting the Double-Loop Reconstruction Method.

Gastric cancer constitutes a major health problem. Robotic surgery has been progressively developed ...

Efficacy and Safety Evaluation on Arterial Thrombolysis in Treating Acute Cerebral Infarction.

The objective of this study was to evaluate the efficacy and safety of intra-arterial thrombolysis i...

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