AIMC Topic: Humans

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Volume-based complete automation for ultrasound fetal biometry: A pilot approach to assess feasibility, reliability, and perspectives.

International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics
BACKGROUND: Detection algorithms targeting anatomic landmarks in three-dimensional (3D) ultrasound (US) volume (three-dimensional US) appear to be a relevant and easy-to-implement option to address junior and occasional operators' difficulties in pro...

Multimodal treatment of colorectal liver metastases: Where are we? Current strategies and future perspectives.

Bioscience trends
Despite the continued high prevalence of colorectal cancer in the Western world, recent years have witnessed a decline in its mortality rate, largely attributable to the sustained advancement of multimodal treatment modalities for metastatic patients...

Multitask learning model for predicting non-coding RNA-disease associations: Incorporating local and global context.

Methods (San Diego, Calif.)
Long non-coding RNAs (lncRNAs) and microRNAs (miRNAs) are crucial non-coding RNAs involved in various diseases. Understanding these interactions is vital for advancing diagnostic, preventive, and therapeutic strategies. Existing computational methods...

Formative Research for the Development and Implementation of a Smartphone Application to Report Breaches to the International Code of Marketing of Breast-Milk Substitutes in Mexico.

Maternal & child nutrition
Almost 40 years after the adoption of the International Code of Marketing of Breast-Milk Substitutes ('the Code') in Mexico, noncompliance persists. In other countries, smartphone applications for reporting Code noncompliance have proven effective. T...

The impact of multi-modality fusion and deep learning on adult age estimation based on bone mineral density.

International journal of legal medicine
INTRODUCTION: Age estimation, especially in adults, presents substantial challenges in different contexts ranging from forensic to clinical applications. Bone mineral density (BMD), with its distinct age-related variations, has emerged as a critical ...

Exploring emotional climate recognition in peer conversations through bispectral features and affect dynamics.

Computer methods and programs in biomedicine
BACKGROUND AND OBJECTIVE: Emotion recognition in conversations using artificial intelligence (AI) has gained significant attention due to its potential to provide insights into human social behavior. This study extends AI-based emotion recognition to...

ListPred: A predictive ML tool for virulence potential and disinfectant tolerance in Listeria monocytogenes.

Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases
Despite current surveillance and sanitation strategies, foodborne pathogens continue to threaten the food industry and public health. Whole genome sequencing (WGS) has reached an unprecedented resolution to analyse and compare pathogenic bacterial is...

Using artificial intelligence (AI) for form and content checks of medical reports: Proofreading by ChatGPT4.0 in a neurology department.

Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen
INTRODUCTION: Medical reports contain critical information and require concise language, yet often display errors despite advances in digital tools. This study compared the effectiveness of ChatGPT 4.0 in reporting orthographic, grammatical, and cont...

Application of machine learning in the context of reoperation, outcome and management after ACL reconstruction - A systematic review.

The Knee
INTRODUCTION: Machine learning-based tools are becoming increasingly popular in clinical practice. They offer new possibilities but are also limited in their reliability and accuracy.

TriDeNT : Triple deep network training for privileged knowledge distillation in histopathology.

Medical image analysis
Computational pathology models rarely utilise data that will not be available for inference. This means most models cannot learn from highly informative data such as additional immunohistochemical (IHC) stains and spatial transcriptomics. We present ...