AI Medical Compendium Journal:
Studies in health technology and informatics

Showing 11 to 20 of 1224 articles

Transforming Healthcare: The Role of Artificial Intelligence.

Studies in health technology and informatics
The integration of artificial intelligence (AI) into healthcare is revolutionising the industry by enhancing diagnostic accuracy, personalising treatment strategies, and improving administrative efficiency. This study aims to evaluate the impact of A...

Mapping Ethical Guidelines for AI in Healthcare: A Global Perspective.

Studies in health technology and informatics
The integration of AI into healthcare has raised ethical concerns, including algorithmic bias, patient privacy, and accountability. Despite global efforts to establish ethical guidelines for AI, healthcare-specific AI ethics frameworks are actively e...

Participatory Health and Artificial Intelligence: A Literature Review.

Studies in health technology and informatics
INTRODUCTION: Participatory Health (PH) emerges as a consequence of the rise of the internet, which has led to a patient-centered approach. Participatory Health Informatics (PHI) uses information technologies and evaluates the use of tools. The emerg...

Utilizing Large Language Models to Monitor Social Media for Disability: An Analysis of Sentiment and Disability Models in Tweets.

Studies in health technology and informatics
This study explores how well large language models (like the kind that powers ChatGPT) can analyze online conversations about disability rights. We specifically looked at whether these models could: 1) identify if tweets about people with disabilitie...

Controlled Intervention Study on Effects of an AI-Based App to Support Wound Care: First Results.

Studies in health technology and informatics
The KIADEKU project combines datascience and the clinical expertise of wound experts to develop and evaluate an AI-application for incontinence-associated-dermatitis (IAD) and pressure ulcer (PU) wound care. The evaluation study is a controlled, non-...

A Deep-Learning Framework for Ovarian Cancer Subtype Classification Using Whole Slide Images.

Studies in health technology and informatics
Ovarian cancer, a leading cause of cancer-related deaths among women, comprises distinct subtypes each requiring different treatment approaches. This paper presents a deep-learning framework for classifying ovarian cancer subtypes using Whole Slide I...

Novel Tinnitus Diagnosis: Biology and Technology for Public Health Management.

Studies in health technology and informatics
Tinnitus, characterized by the perception of ringing or buzzing in the ears, significantly affects millions globally and negatively impacts their quality of life. Current management strategies vary in effectiveness, underscoring the need for precise,...

HSG-Assistant: AI-Driven Framework for Enhanced Hysterosalpingography Analysis.

Studies in health technology and informatics
HSG-Assistant is an AI-driven diagnostic framework designed to address the significant limitations of traditional Hysterosalpingography (HSG) imaging in diagnosing female infertility, including low resolution, high noise levels, and limited diagnosti...

Towards Multiple Sclerosis Personalised Interventions Based on Real-World Predictive Analytics.

Studies in health technology and informatics
This study investigates the use of machine learning (ML) techniques to predict intervention response in patients with Multiple Sclerosis (PwMS) using real-world data from wearable devices. Data from 27 PwMS, monitored over two months were analyzed wi...

Identifying Key Factors Associated with Assistive Technology Availability for Dementia Care Using Machine Learning.

Studies in health technology and informatics
This study explores the factors influencing the availability of assistive technology for people with dementia through the application of machine learning. The analysis identified key factors, including carer support, protective legislation, and acces...