AIMC Topic: Humans

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Limited impact of erectile function on health-related quality of life in Japanese men undergoing robot-assisted radical prostatectomy.

International journal of urology : official journal of the Japanese Urological Association
OBJECTIVE: To investigate the impact of erectile function on health-related quality of life in Japanese prostate cancer patients following robot-assisted radical prostatectomy.

Fully automated intracardiac 4D flow MRI post-processing using deep learning for biventricular segmentation.

European radiology
OBJECTIVES: 4D flow MRI allows for a comprehensive assessment of intracardiac blood flow, useful for assessing cardiovascular diseases, but post-processing requires time-consuming ventricular segmentation throughout the cardiac cycle and is prone to ...

MKELM: Mixed Kernel Extreme Learning Machine using BMDA optimization for web services based heart disease prediction in smart healthcare.

Computer methods in biomechanics and biomedical engineering
In recent years, cardiovascular disease becomes a prominent source of death. The web services connect other medical equipments and the computers via internet for exchanging and combining the data in novel ways. The accurate prediction of heart diseas...

Total Knee Arthroplasty With Robotic Surgical Assistance Results in Less Physician Stress and Strain Than Conventional Methods.

The Journal of arthroplasty
BACKGROUND: Poor surgical ergonomics and physiological stress have been shown to impair surgical performance and cause injuries. The prevalence of musculoskeletal pain among arthroplasty surgeons is inordinately high. This study compared surgeon stre...

Interpretable tumor differentiation grade and microsatellite instability recognition in gastric cancer using deep learning.

Laboratory investigation; a journal of technical methods and pathology
Gastric cancer possesses great histological and molecular diversity, which creates obstacles for rapid and efficient diagnoses. Classic diagnoses either depend on the pathologist's judgment, which relies heavily on subjective experience, or time-cons...

The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis.

European radiology
OBJECTIVES: AI-based algorithms for medical image analysis showed comparable performance to human image readers. However, in practice, diagnoses are made using multiple imaging modalities alongside other data sources. We determined the importance of ...

Pollutant specific optimal deep learning and statistical model building for air quality forecasting.

Environmental pollution (Barking, Essex : 1987)
Poor air quality is becoming a critical environmental concern in different countries over the last several years. Most of the air pollutants have serious consequences on human health and wellbeing. In this context, efficient forecasting of air pollut...

Mental speed is high until age 60 as revealed by analysis of over a million participants.

Nature human behaviour
Response speeds in simple decision-making tasks begin to decline from early and middle adulthood. However, response times are not pure measures of mental speed but instead represent the sum of multiple processes. Here we apply a Bayesian diffusion mo...

The ethical challenges of artificial intelligence-driven digital pathology.

The journal of pathology. Clinical research
Digital pathology - the digitalisation of clinical histopathology services through the scanning and storage of pathology slides - has opened up new possibilities for health care in recent years, particularly in the opportunities it brings for artific...