AIMC Topic: Humans

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Beyond diagnosis: is there a role for radiomics in prostate cancer management?

European radiology experimental
The role of imaging in pretreatment staging and management of prostate cancer (PCa) is constantly evolving. In the last decade, there has been an ever-growing interest in radiomics as an image analysis approach able to extract objective quantitative ...

Content and quality of physical activity ontologies: a systematic review.

The international journal of behavioral nutrition and physical activity
INTRODUCTION: Ontologies are a formal way to represent knowledge in a particular field and have the potential to transform the field of health promotion and digital interventions. However, few researchers in physical activity (PA) are familiar with o...

Automating Quality Assessment of Medical Evidence in Systematic Reviews: Model Development and Validation Study.

Journal of medical Internet research
BACKGROUND: Assessment of the quality of medical evidence available on the web is a critical step in the preparation of systematic reviews. Existing tools that automate parts of this task validate the quality of individual studies but not of entire b...

Model Choice for Quantitative Health Impact Assessment and Modelling: An Expert Consultation and Narrative Literature Review.

International journal of health policy and management
BACKGROUND: Health impact assessment (HIA) is a widely used process that aims to identify the health impacts, positive or negative, of a policy or intervention that is not necessarily placed in the health sector. Most HIAs are done prospectively and ...

Deep learning models for hepatitis E incidence prediction leveraging meteorological factors.

PloS one
BACKGROUND: Infectious diseases are a major threat to public health, causing serious medical consumption and casualties. Accurate prediction of infectious diseases incidence is of great significance for public health organizations to prevent the spre...

Incorporating algorithmic uncertainty into a clinical machine deep learning algorithm for urgent head CTs.

PloS one
Machine learning (ML) algorithms to detect critical findings on head CTs may expedite patient management. Most ML algorithms for diagnostic imaging analysis utilize dichotomous classifications to determine whether a specific abnormality is present. H...

Artificial Muscles and Soft Robotic Devices for Treatment of End-Stage Heart Failure.

Advanced materials (Deerfield Beach, Fla.)
Medical soft robotics constitutes a rapidly developing field in the treatment of cardiovascular diseases, with a promising future for millions of patients suffering from heart failure worldwide. Herein, the present state and future direction of artif...

DeepDetect: Deep Learning of Peptide Detectability Enhanced by Peptide Digestibility and Its Application to DIA Library Reduction.

Analytical chemistry
In tandem mass spectrometry-based proteomics, proteins are digested into peptides by specific protease(s), but generally only a fraction of peptides can be detected. To characterize detectable proteotypic peptides, we have developed a series of metho...

Major Determinants of Innovation Performance in the Context of Healthcare Sector.

International journal of environmental research and public health
Through the innovation network (IN) and the use of artificial intelligence (AI), this study aims to look into the innovation performance (IP) of the healthcare industry. Digital innovation (DI) is also tested as a mediator. For the collection of data...