AIMC Journal:
Studies in health technology and informatics

Showing 361 to 370 of 1224 articles

Implementation of a Clinical, Patient-Level Dashboard at a Mental Health Hospital: Lessons Learned from Two Pilot Clinics.

Studies in health technology and informatics
The Centre for Addiction and Mental Health has implemented mechanisms to standardize routine data collection with the vision of a Learning Health System. To improve clinical decision-making and patient outcomes, a clinical dashboard was implemented t...

A Framework for Implementing Disease Prevention and Behavior Change Evidence at Scale.

Studies in health technology and informatics
The current corpus of evidence-based information for chronic disease prevention and treatment is vast and growing rapidly. Behavior change theories are increasingly more powerful but difficult to operationalize in the current healthcare system. Milli...

High Accuracy Open-Source Clinical Data De-Identification: The CliniDeID Solution.

Studies in health technology and informatics
Clinical data de-identification offers patient data privacy protection and eases reuse of clinical data. As an open-source solution to de-identify unstructured clinical text with high accuracy, CliniDeID applies an ensemble method combining deep and ...

Implementation of Artificial Intelligence Applications in Australian Healthcare Organisations: Environmental Scan Findings.

Studies in health technology and informatics
Artificial Intelligence (AI) has great potential to improve healthcare, but implementation into routine practice remains a challenge. This study scoped the extent to which AI and Natural Language Processing (NLP) is being implemented into routine pra...

Reshaping Wound Care: Evaluation of an Artificial Intelligence App to Improve Wound Assessment and Management.

Studies in health technology and informatics
This study evaluated the usability and effectiveness of an artificial intelligence application for wound assessment and management from a clinician-and-patient perspective. A quasi-experimental design was conducted in four settings in an Australian h...

Whole-Liver Based Deep Learning for Preoperatively Predicting Overall Survival in Patients with Hepatocellular Carcinoma.

Studies in health technology and informatics
Survival prediction is crucial for treatment decision making in hepatocellular carcinoma (HCC). We aimed to build a fully automated artificial intelligence system (FAIS) that mines whole-liver information to predict overall survival of HCC. We includ...

Explainable Artificial Intelligence for Deep-Learning Based Classification of Cystic Fibrosis Lung Changes in MRI.

Studies in health technology and informatics
Algorithms increasing the transparence and explain ability of neural networks are gaining more popularity. Applying them to custom neural network architectures and complex medical problems remains challenging. In this work, several algorithms such as...

A Deep Learning-Based System for the Assessment of Dental Caries Using Colour Dental Photographs.

Studies in health technology and informatics
D1ental caries remains the most common chronic disease in childhood, affecting almost half of all children globally. Dental care and examination of children living in remote and rural areas is an ongoing challenge that has been compounded by COVID. T...

MSPA-DLA++: A Multi-Scale Phase Attention Deep Layer Aggregation for Lesion Detection in Multi-Phase CT Images.

Studies in health technology and informatics
Object detection using convolutional neural networks (CNNs) has achieved high performance and achieved state-of-the-art results with natural images. Compared to natural images, medical images present several challenges for lesion detection. First, th...

Artificial Intelligence Approach for Severe Dengue Early Warning System.

Studies in health technology and informatics
Dengue fever is a viral infectious disease transmitted through mosquito bites, and has symptoms ranging from mild flu-like symptoms to deadly complications. Dengue fever is one of the global burden diseases which annually have 50-100 million cases wi...