AIMC Topic: Humans

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Open-access ultrasonic diaphragm dataset and an automatic diaphragm measurement using deep learning network.

Respiratory research
BACKGROUND: The assessment of diaphragm function is crucial for effective clinical management and the prevention of complications associated with diaphragmatic dysfunction. However, current measurement methodologies rely on manual techniques that are...

Machine learning and discriminant analysis model for predicting benign and malignant pulmonary nodules.

BMC medical informatics and decision making
BACKGROUND: Pulmonary Nodules (PNs) are a trend considered as the early manifestation of lung cancer. Among them, PNs that remain stable for more than two years or whose pathological results suggest not being lung cancer are considered benign PNs (BP...

A new approach for microbe-disease association prediction: incorporating representation learning of latent relationships.

BMC medical informatics and decision making
BACKGROUND: Predicting associations between microbes and diseases is crucial for clinical diagnosis and therapy. However, biological experiments are time-intensive, necessitating efficient computational models. Traditional models rely on existing mic...

A densely connected framework for cancer subtype classification.

BMC bioinformatics
BACKGROUND: Reliable identification of cancer subtypes is crucial for devising personalized treatment strategies. Integrating multi-omics data has proven to be an effective method for analyzing cancer subtypes. By combining molecular information acro...

Sex estimation with parameters of the facial canal by computed tomography using machine learning algorithms and artificial neural networks.

BMC medical imaging
BACKGROUND: The skull is highly durable and plays a significant role in sex determination as one of the most dimorphic bones. The facial canal (FC), a clinically significant canal within the temporal bone, houses the facial nerve. This study aims to ...

Semantic web-based ontology: a comprehensive framework for cardiovascular knowledge representation.

BMC cardiovascular disorders
In the healthcare industry, the Semantic Web offers to manage a huge amount of medical data which is machine-readable and machine-understandable as well. This domain incorporates ontologies, linked data, and semantic web technologies to promote healt...

Development of an artificial intelligence algorithm for automated surgical gestures annotation.

Journal of robotic surgery
Surgical gestures analysis is a promising method to assess surgical procedure quality, but manual annotation is time-consuming. We aimed to develop a recurrent neural network for automated surgical gesture annotation using simulated robot-assisted ra...

Simulation-based training in minimally invasive surgical therapies (MIST): current evidence and future directions for artificial intelligence integration-a systematic review by EAU endourology.

World journal of urology
INTRODUCTION: Benign prostatic hyperplasia (BPH) affects a growing proportion of the aging male population. Minimally invasive surgical therapies (MISTs) such as Rezum and UroLift offer effective alternatives to traditional approaches like transureth...

Using machine learning to discover DNA metabolism biomarkers that direct prostate cancer treatment.

Scientific reports
DNA metabolism genes play pivotal roles in the regulation of cellular processes that contribute to cancer progression, immune modulation, and therapeutic response in prostate cancer (PC). Understanding the mechanisms by which these genes influence th...

EEG microstate analysis in children with prolonged disorders of consciousness.

Scientific reports
Prolonged disorders of consciousness (pDoC) in children lack objective and effective diagnostic methods to assess consciousness states, hindering targeted treatment selection and delaying recovery. It remains unclear whether EEG microstate analysis, ...