Artificial intelligence applications in medical imaging: A review of the medical physics research in Italy
Purpose To perform a systematic review on the research on the application of artificial
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
intelligence (AI) to imaging published in Italy and identify its fields of application, methods …
Machine learning and regression analysis to model the length of hospital stay in patients with femur fracture
Fractures of the femur are a frequent problem in elderly people, and it has been
demonstrated that treating them with a diagnostic–therapeutic–assistance path within 48 h …
demonstrated that treating them with a diagnostic–therapeutic–assistance path within 48 h …
CT-and MRI-based 3D reconstruction of knee joint to assess cartilage and bone
FK Ciliberti, L Guerrini, AE Gunnarsson, M Recenti… - Diagnostics, 2022 - mdpi.com
For the observation of human joint cartilage, X-ray, computed tomography (CT) or magnetic
resonance imaging (MRI) are the main diagnostic tools to evaluate pathologies or traumas …
resonance imaging (MRI) are the main diagnostic tools to evaluate pathologies or traumas …
Assessing cardiovascular risks from a mid-thigh CT image: a tree-based machine learning approach using radiodensitometric distributions
The nonlinear trimodal regression analysis (NTRA) method based on radiodensitometric CT
distributions was recently developed and assessed for the quantification of lower extremity …
distributions was recently developed and assessed for the quantification of lower extremity …
Application of supply chain management at drugs flow in an Italian hospital district
The globalization has pushed to change the organization of every companies, even the
hospitals. The principal phenomenon in that period and fundamental today again, has been …
hospitals. The principal phenomenon in that period and fundamental today again, has been …
A health technology assessment between two pharmacological therapies through Six Sigma: the case study of bone cancer
Purpose Head and neck cancers are multi-factorial diseases that can affect many sides of
people's life and are due to a lot of risk factors. According to their characteristics, the …
people's life and are due to a lot of risk factors. According to their characteristics, the …
[HTML][HTML] Machine learning predictive system based upon radiodensitometric distributions from mid-thigh CT images
The nonlinear trimodal regression analysis (NTRA) method based on radiodensitometric CT
images distributions was developed for the quantitative characterization of soft tissue …
images distributions was developed for the quantitative characterization of soft tissue …
Healthy aging within an image: Using muscle radiodensitometry and lifestyle factors to predict diabetes and hypertension
M Recenti, C Ricciardi, KJ Edmunds… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
The strong age dependency of many deleterious health outcomes likely reflects the
cumulative effects from a variety of risk and protective factors that occur over one's life …
cumulative effects from a variety of risk and protective factors that occur over one's life …
Bidimensional and tridimensional Poincaré maps in cardiology: a multiclass machine learning study
Heart rate is a nonstationary signal and its variation may contain indicators of current
disease or warnings about impending cardiac diseases. Hence, heart rate variation analysis …
disease or warnings about impending cardiac diseases. Hence, heart rate variation analysis …
The prediction of body mass index from negative affectivity through machine learning: a confirmatory study
This study investigates on the relationship between affect-related psychological variables
and Body Mass Index (BMI). We have utilized a novel method based on machine learning …
and Body Mass Index (BMI). We have utilized a novel method based on machine learning …