AI Medical Compendium Journal:
Studies in health technology and informatics

Showing 161 to 170 of 1224 articles

Leveraging Cancer Therapy Peptide Data: A Case Study on Machine Learning Application in Accelerating Cancer Research.

Studies in health technology and informatics
This study leverages the DCTPep database, a comprehensive repository of cancer therapy peptides, to explore the application of machine learning in accelerating cancer research. We applied Principal Component Analysis (PCA) and K-means clustering to c...

Integrating Clinical Data and Patient-Reported Outcomes for Analyzing Gender Differences and Progression in Multiple Sclerosis Using Machine Learning.

Studies in health technology and informatics
Multiple sclerosis (MS) is a complex neurodegenerative disease with a variable prognosis that complicates effective management and treatment. This study leverages machine learning (ML) to enhance the understanding of disease progression and uncover g...

AI in Software Development and Its Potential Influence on Accessibility Compliance.

Studies in health technology and informatics
As artificial intelligence (AI) becomes increasingly integral to various sectors, its potential to enhance accessibility in digital services is of growing interest. This paper explores the influence of AI systems (AIS) on accessibility compliance, sp...

Universally Designed Augmented Reality as Interface for Artificial Intelligence Assisted Decision-Making in Everyday Life Scenarios.

Studies in health technology and informatics
This paper presents a conceptual prototype that integrates Artificial Intelligence (AI) and Augmented Reality (AR) with the principles of Universal Design (UD) to enhance decision-making in everyday scenarios for a diverse user base, eliminating the ...

Exploring the Use of AI for Enhanced Accessibility Testing of Web Solutions.

Studies in health technology and informatics
Artificial Intelligence (AI) holds significant potential for enhancing accessibility and user experience across digital products and services. However, mainstream web solutions commonly used by the general population still face accessibility barriers...

Predicting Unplanned Return to Operating Room Following Primary Total Shoulder Arthroplasty: Insights from Fair and Explainable Ensemble Machine Learning.

Studies in health technology and informatics
Reoperation is the most significant complication following any surgical procedure. Developing machine learning methods that predict the need for reoperation will allow for improved shared surgical decision making and patient-specific and preoperative...

Prediction of Antibiotic Susceptibility in E. coli Isolates Using Machine Learning.

Studies in health technology and informatics
Antimicrobial resistance (AMR) poses a significant global health threat, resulting in 4.96 million deaths in 2019, with projections reaching 10 million by 2050. This resistance, primarily due to the overuse of antibiotics, complicates the treatment o...

Analysis of In-Home Movement Patterns for Depression Assessment in Older Adults - A Feasibility Study.

Studies in health technology and informatics
Depression significantly impacts the wellbeing of older Australians, posing considerable challenges to their overall quality of life. This study aimed to detect in-home movement patterns of participants that could be indicative of depressive states. ...

Conversations in Content and Context: Can We Teach AI to Chat About Drawings?

Studies in health technology and informatics
An innovative chatbot incorporates a drawing tool allowing users to draw pictures that symbolise the nature of their chronic pain. Rather than simply ask 'What did you draw?" what if the chatbot could engage the user to provide insight into symbols a...

Tabula Rasa: A Case Study in Chronic Pain Management Using Individual-Centric AI.

Studies in health technology and informatics
There are numerous behavioural, social and environmental factors that influence the symptomatology of a chronic health condition. These factors and how they manifest are often very specific to the individual, which creates challenges for applying mac...