AIMC Topic: Humans

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Linear and Machine Learning modelling for spatiotemporal disease predictions: Force-of-Infection of Chagas disease.

PLoS neglected tropical diseases
BACKGROUND: Chagas disease is a long-lasting disease with a prolonged asymptomatic period. Cumulative indices of infection such as prevalence do not shed light on the current epidemiological situation, as they integrate infection over long periods. I...

Research hotspots and emerging trends of deep learning applications in orthopedics: A bibliometric and visualized study.

Frontiers in public health
BACKGROUND: As a research hotspot, deep learning has been continuously combined with various research fields in medicine. Recently, there is a growing amount of deep learning-based researches in orthopedics. This bibliometric analysis aimed to identi...

Implementation of Combined Machine Learning with the Big Data Model in IoMT Systems for the Prediction of Network Resource Consumption and Improving the Data Delivery.

Computational intelligence and neuroscience
In recent years, health applications based on the internet of medical things have exploded in popularity in smart cities (IoMT). Many real-time systems help both patients and professionals by allowing remote data access and appropriate responses. The...

Teaching Analysis for Visual Communication Design with the Perspective of Digital Technology.

Computational and mathematical methods in medicine
The turn of contemporary visual culture has led to the expansion of the connotation and scope of visual communication design (VCD) education, the generation of new artistic concepts and forms, and the great changes in the subject education system. VC...

Machine Learning and Electrocardiography Signal-Based Minimum Calculation Time Detection for Blood Pressure Detection.

Computational and mathematical methods in medicine
OBJECTIVE: Measurement and monitoring of blood pressure are of great importance for preventing diseases such as cardiovascular and stroke caused by hypertension. Therefore, there is a need for advanced artificial intelligence-based systolic and diast...

A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society
Electrical status epilepticus during sleep (ESES) is an epileptic encephalopathy in children with complex clinical manifestations. It is accompanied by specific electroencephalography (EEG) patterns of continuous spike and slow-waves. Quantifying suc...

Application of multiple deep learning models for automatic burn wound assessment.

Burns : journal of the International Society for Burn Injuries
PURPOSE: Accurate assessment of the percentage of total body surface area (%TBSA) burned is crucial in managing burn injuries. It is difficult to estimate the size of an irregular shape by inspection. Many articles reported the discrepancy of estimat...

Orthopaedic Trainee Views on Robotic Technologies in Orthopaedics: A Survey-Based Study.

The journal of knee surgery
The use of robotics is a growing area within the field of surgery, especially in orthopaedics. To date, there is no literature examining orthopaedic trainee perception of or comfort with robotics in orthopaedics. An assessment of the next generation'...

Clinical and oncological outcomes of open partial nephrectomy versus robot assisted partial nephrectomy over 15 years.

Journal of robotic surgery
Partial nephrectomy (PN) is the gold standard surgical treatment for localized kidney cancer. The objective of our study was to compare clinical and perioperative outcomes of open partial nephrectomy (OPN) and robotic-assisted partial nephrectomy (RA...

The impact of disclosure of conflicts of interest in studies comparing robot-assisted and laparoscopic cholecystectomies-a persistent problem.

Surgical endoscopy
INTRODUCTION: Accurate disclosure of conflicts of interest (COI) is critical to interpretation of study results, especially when industry interests are involved. We reviewed published manuscripts comparing robot-assisted cholecystectomy (RAC) and lap...