Latest AI and machine learning research in domestic violence for healthcare professionals.
Background The workflow of breast cancer screening programs could be improved given the high workload and the high number of false-positive and false-negative assessments. Purpose To evaluate if using an artificial intelligence (AI) system could reduce workload without reducing cancer detection in breast cancer screening with digital mammography (DM) or digital breast tomosynthesis (DBT). Material...
Background The interpretation of radiographs suffers from an ever-increasing workload in emergency and radiology departments, while missed fractures represent up to 80% of diagnostic errors in the emergency department. Purpose To assess the performance of an artificial intelligence (AI) system designed to aid radiologists and emergency physicians in the detection and localization of appendicular s...
The use of humanoid robots as assistants in therapy processes is not new. Several projects in the past several years have achieved promising results w...
The China National Center for Food Safety Risk Assessment (CFSA) uses the Foodborne Disease Monitoring and Reporting System (FDMRS) to monitor outbrea...
PURPOSE: The study explored the clinical influence, effectiveness, limitations, and human comparison outcomes of machine learning in diagnosing (1) de...
Gastroenterology has been an early leader in bridging the gap between artificial intelligence (AI) model development and clinical trial validation, an...
Background and purpose - External validation of machine learning (ML) prediction models is an essential step before clinical application. We assessed ...
OBJECTIVES: To perform a systematic review of design and reporting of imaging studies applying convolutional neural network models for radiological ca...
Drug designing and development is an important area of research for pharmaceutical companies and chemical scientists. However, low efficacy, off-targe...
A main challenge in the enumeration of small-molecule chemical spaces for drug design is to quickly and accurately differentiate between possible and ...
Fall detection is a major challenge for researchers. Indeed, a fall can cause injuries such as femoral neck fracture, brain hemorrhage, or skin burns,...
BACKGROUND: Systematic reviews and meta-analyses provide the highest level of evidence to help inform policy and practice, yet their rigorous nature i...
With the increasing legalization of medical and recreational use of cannabis, more research is needed to understand the association between depression...
Artificial intelligence (AI)-based applications have the potential to improve the quality and efficiency of patient care in dermatology. Unique challe...
Coronavirus disease 2019 (COVID-19), a recent viral pandemic that first began in December 2019, in Hunan wildlife market, Wuhan, China. The infection ...
BACKGROUND: The recognition of child physical abuse can be challenging and often requires a multidisciplinary assessment. Deep learning models, based ...
Robot-assisted kidney transplantation (RAKT) is a technically challenging procedure and there has been limited reporting of its learning curve (LC), ...
Opioid abuse is a significant public health problem. Over two million Americans have some form of addiction to opioids; however, despite governmental ...
Manual segmentation of muscle and adipose compartments from computed tomography (CT) axial images is a potential bottleneck in early rapid detection a...
As an emerging field, telesurgery robotic system is changing the traditional medical mode and can delivery remote surgical treatment anywhere in the w...