AIMC Topic: Humans

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The concept of justifiable healthcare and how big data can help us to achieve it.

BMC medical informatics and decision making
Over the last decades, the face of health care has changed dramatically, with big improvements in what is technically feasible. However, there are indicators that the current approach to evaluating evidence in health care is not holistic and hence in...

Humanoid robots in the care of older persons: A scoping review.

Assistive technology : the official journal of RESNA
The aim was to examine how humanoid robots have been used in the care of older persons and identify possible benefits and challenges associated with such use from older persons' points of view. The study was a scoping review based on Arksey and O'Mal...

A novel lightweight deep convolutional neural network for early detection of oral cancer.

Oral diseases
OBJECTIVES: To develop a lightweight deep convolutional neural network (CNN) for binary classification of oral lesions into benign and malignant or potentially malignant using standard real-time clinical images.

Diagnostic Performance of an Artificial Intelligence System in Breast Ultrasound.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: We study the performance of an artificial intelligence (AI) program designed to assist radiologists in the diagnosis of breast cancer, relative to measures obtained from conventional readings by radiologists.

Toward improving functional recovery in spinal cord injury using robotics: a pilot study focusing on ankle rehabilitation.

Expert review of medical devices
BACKGROUND: Conventional physical therapy interventions are strongly recommended to improve ambulation potential and upright mobility in persons with incomplete spinal cord injury (iSCI). Ankle rehabilitation plays a significant role, as it aims to s...

Robotics Versus Navigation Versus Conventional Total Hip Arthroplasty: Does the Use of Technology Yield Superior Outcomes?

The Journal of arthroplasty
BACKGROUND: The use of technology such as navigation and robotic systems may improve the accuracy of component positioning in total hip arthroplasty (THA), but its impact on patient-reported outcome measures (PROMs) remains unclear. This study aims t...

Machine Learning Compared With Conventional Statistical Models for Predicting Myocardial Infarction Readmission and Mortality: A Systematic Review.

The Canadian journal of cardiology
BACKGROUND: Machine learning (ML) methods are increasingly used in addition to conventional statistical modelling (CSM) for predicting readmission and mortality in patients with myocardial infarction (MI). However, the two approaches have not been sy...

GestAltNet: aggregation and attention to improve deep learning of gestational age from placental whole-slide images.

Laboratory investigation; a journal of technical methods and pathology
The placenta is the first organ to form and performs the functions of the lung, gut, kidney, and endocrine systems. Abnormalities in the placenta cause or reflect most abnormalities in gestation and can have life-long consequences for the mother and ...