AIMC Topic: Humans

Clear Filters Showing 3971 to 3980 of 95995 articles

Development and validation of a diagnostic prediction model for pancreatic ductal adenocarcinoma: VAPOR 1, protocol for a prospective multicentre case-control study.

BMJ open
INTRODUCTION: Pancreatic ductal adenocarcinoma (PDAC) continues to have extremely poor patient outcomes, unlike other cancer types which have seen significant improvements in their treatments and survival. A major contributing factor is that PDAC is ...

Evaluating the Quality and Understandability of Radiology Report Summaries Generated by ChatGPT: Survey Study.

JMIR formative research
BACKGROUND: Radiology reports convey critical medical information to health care providers and patients. Unfortunately, they are often difficult for patients to comprehend, causing confusion and anxiety, thereby limiting patient engagement in health ...

Misleading Results in Posttraumatic Stress Disorder Predictive Models Using Electronic Health Record Data: Algorithm Validation Study.

Journal of medical Internet research
BACKGROUND: Electronic health record (EHR) data are increasingly used in predictive models of posttraumatic stress disorder (PTSD), but it is unknown how multivariable prediction of an EHR-based diagnosis might differ from prediction of a more rigoro...

A Machine Learning Model for Predicting Sarcopenia Among Middle-Aged Adults: Development and External Validation.

JMIR medical informatics
BACKGROUND: Sarcopenia is a common muscle disorder in older adults, and its early identification and management in middle-aged populations are essential for ensuring a healthier later life. Detecting sarcopenia at an earlier stage may reduce the futu...

MRI-based machine-learning radiomics of the liver to predict liver-related events in hepatitis B virus-associated fibrosis.

European radiology experimental
BACKGROUND: The onset of liver-related events (LREs) in fibrosis indicates a poor prognosis and worsens patients' quality of life, making the prediction and early detection of LREs crucial. The aim of this study was to develop a radiomics model using...

Integration of Multi-omics Data Based on Deep Learning for Subtyping of Low-Grade Glioma.

Journal of molecular neuroscience : MN
Low-grade gliomas (LGGs) represent a complex and aggressive category of brain tumors. Despite recent advancements in molecular subtyping and characterization, the necessity to identify additional molecular subtypes and biomarkers remains. To delineat...

A Social Disruptiveness-Based Approach to AI Governance: Complementing the Risk-Based Approach of the AI Act.

Science and engineering ethics
The AI Act advances a risk-based approach to the legal regulation of AI systems in the European Union. While we support this development, we argue that adequate AI governance requires paying attention to the broader implications of AI systems on the ...

Machine learning-based models and radiomics: can they be reliable predictors for meningioma recurrence? A systematic review and meta-analysis.

Neurosurgical review
BACKGROUND: Predicting recurrence in meningioma patients is vital for improving long-term outcomes and tailoring personalized treatment strategies. While traditional diagnostic methods have advanced, accurately forecasting recurrence remains a persis...

A detailed guide to melt electro-writing for tissue engineering applications.

Biofabrication
Melt electro-writing (MEW) is an advanced 3D printing technique with significant potential in tissue engineering due to its ability to create highly precise microscale structures using biocompatible materials. This review provides a comprehensive gui...

MV2SwimNet: A lightweight transformer-based hybrid model for knee meniscus tears detection.

PloS one
Knee Ailments, such as meniscus injuries, bother millions globally, with research showing that more than 14% of the population above 40 years lives with meniscus-related conditions. Conventional diagnosis techniques, like manual MRI interpretation, a...