Prevention

Comparison of surgical outcomes after robot-assisted laparoscopic partial nephrectomy between patients continuing and discontinuing aspirin therapy: a Japanese single-centre study.

PURPOSE: To investigate the feasibility of continuing aspirin therapy in patients with renal tumours undergoing robot-assisted laparoscopic partial nephrectomy.

The Relationship Between Technical Skills, Cognitive Workload, and Errors During Robotic Surgical Exercises.

We attempt to understand the relationship between surgeon technical skills, cognitive workload, and errors during a simulated robotic dissection task. Participant surgeons performed a robotic surgery dissection exercise. Participants were grouped based on surgical experience. Technical skills were evaluated utilizing the validated Global Evaluative Assessment of Robotic Skills (GEARS) assessment...

Deep learning-based ballistocardiography reconstruction algorithm on the optical fiber sensor.

Ballistocardiography (BCG) is a vibration signal related to cardiac activity, which can be obtained in a non-invasive way by optical fiber sensors. In...

Antegrade Colonic Enema Channels in Pediatric Patients Using Appendix or Cecal Flap: A Comparative Robotic Open Series.

We present perioperative outcomes of a single-center experience with robot-assisted antegrade colonic enema (ACE) channel creation for the treatment ...

The efficacy of robot-assisted training for patients with upper limb amputations who use myoelectric prostheses: a randomized controlled pilot study.

The aim of this pilot study was to investigate whether a movement therapy robot can improve skills in using a myoelectric prosthesis by patients with ...

Effects of Exercise-Diet Therapy on Cognitive Function in Healthy Elderly People Evaluated by Deep Learning Based on Basic Blood Test Data.

BACKGROUND: Recent studies reported that vascular cognitive impairment in the elderly caused by arteriosclerosis plays an important role in cognitive ...

[Exploration of applying machine learning in establishment of vitamin D classifiers among Chinese elderly].

To establish vitamin D classification models for Chinese elderly using machine learning techniques. Based on the datasets of 2010-2012 Chinese nutri...

Using artificial intelligence to automate meat cut identification from the semimembranosus muscle on beef boning lines.

The identification of different meat cuts for labeling and quality control on production lines is still largely a manual process. As a result, it is a...

Living Longer Better.

Aging is a universal feature of life and a complex process at all levels from the biological to the societal. What constitutes older age is subjective...

phyLoSTM: a novel deep learning model on disease prediction from longitudinal microbiome data.

MOTIVATION: Research shows that human microbiome is highly dynamic on longitudinal timescales, changing dynamically with diet, or due to medical inter...

Assessing Physical Rehabilitation Exercises using Graph Convolutional Network with Self-supervised regularization.

Computer-vision techniques provide a way to conduct low-cost, portable, and real-time evaluations of exercises performed as a part of physical rehabil...

Exploration of Machine Learning and Statistical Techniques in Development of a Low-Cost Screening Method Featuring the Global Diet Quality Score for Detecting Prediabetes in Rural India.

BACKGROUND: The prevalence of type 2 diabetes has increased substantially in India over the past 3 decades. Undiagnosed diabetes presents a public hea...

Histograms of Frequency-Intensity Distribution Deep Learning to Predict the Seizure Liability of Drugs in Electroencephalography.

Detection of seizures as well as that of seizure auras is effective in improving the predictive accuracy of seizure liability of drugs. Whereas electr...

Joint Associations of Multiple Dietary Components With Cardiovascular Disease Risk: A Machine-Learning Approach.

The human diet consists of a complex mixture of components. To realistically assess dietary impacts on health, new statistical tools that can better a...

Perspective: Big Data and Machine Learning Could Help Advance Nutritional Epidemiology.

The field of nutritional epidemiology faces challenges posed by measurement error, diet as a complex exposure, and residual confounding. The objective...

[Effect of rehabilitation robot rehabilitation training synchronizing acupuncture exercise therapy on postoperative rehabilitation with hip fracture].

OBJECTIVE: To compare the therapeutic effect between rehabilitation robot rehabilitation training synchronizing acupuncture exercise therapy and simpl...

Machine learning on microbiome research in gastrointestinal cancer.

Gastrointestinal cancer maintains the highest incidence and mortality rate among all cancers globally. In addition to genetic causes, it has been repo...

Intelligent rehabilitation assistant system to promote the early functional recovery of the elderly patients with femoral neck fracture after hemiarthroplasty (HA): A protocol for a randomized controlled trial.

BACKGROUND: Femoral neck fracture is a common type of hip fracture, which has a high morbidity and mortality. Surgical treatment is the first choice. ...

Rhabdomyolysis in a Civil Aviation Pilot.

Rhabdomyolysis is a potentially fatal disease caused by trauma, infections, and toxins. Rhabdomyolysis has not been reported in Chinese civil aircrew...

Fennel fortified diet: New perspective with regard to fertility and sex hormones.

The objective of this study was to evaluate the effect of Foeniculum vulgare (FV) on fertility of mice and on serum sex hormone values of rats and rab...