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Machine Learning and Urinary Incontinence in Prostate Cancer: A Generalized Additive Model of Physical Activity and Recovery Patterns.

Studies in health technology and informatics
The ASCAPE project aims to improve the health-related quality of life of prostate cancer patients using artificial intelligence-driven solutions. This study tries to unravel the complex relationships between patient data variables and urinary inconti...

Characterizing ASD Subtypes Using Morphological Features from sMRI with Unsupervised Learning.

Studies in health technology and informatics
In this study, we attempted to identify the subtypes of autism spectrum disorder (ASD) with the help of anatomical alterations found in structural magnetic resonance imaging (sMRI) data of the ASD brain and machine learning tools. Initially, the sMRI...

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...

Processing UK Biobank High Resolution Accelerometry Data for Unsupervised Identification of Activity Profiles and Their Differences in Clinically Relevant Outcome Parameters - The ATLAS Index Revisited.

Studies in health technology and informatics
Accelerometer data obtained with wearable devices over extended periods of time provides objective, valuable information on activity behavior. Building on previous work to derive easy-to-interpret activity parameters - the Activity Types from Long-te...

Designing and Testing a Physical Activity App with a Chatgpt-Based Chatbot.

Studies in health technology and informatics
BACKGROUND AND OBJECTIVE: ChatGPT shows potential as a tool for creating content for health promotion. For example, personalised physical activity (PA) intervention messages can be generated efficiently using ChatGPT. We aimed to develop and test a c...

Perceptions of the German General Population Towards Implementing Artificial Intelligence in Medical Care: A Population-Based Survey.

Studies in health technology and informatics
The rise of artificial intelligence (AI) in medical care presents several opportunities, including improving patient outcomes. As part of the PEAK project (Perspectives on the Use and Acceptance of Artificial Intelligence in Medical Care), this study...

Sociodemographic Profile of People with Diagnosed Pancreatic Cancer in the UK: Retrospective Sentinel Network Cohort Study.

Studies in health technology and informatics
Pancreatic cancer is a devasting disease which is an increasing cause of cancer mortality. The aim of this study was to characterise, using descriptive statistics, the sociodemographic, risk and clinical characteristics of who develops pancreatic can...

Exploring Data Science Students' Engagement, Usage Patterns, and Perceptions of Large Language Models in Programming.

Studies in health technology and informatics
Large Language Models (LLMs) are a type of artificial intelligence (AI) that have emerged as powerful tools for a wide range of tasks, paving the way for new applications previously unhandled. The use of LLMs is increasing, especially among students....

Using Machine Learning for the Fusion of Tumor Records on a Real-World Dataset.

Studies in health technology and informatics
Cancer registries collect multiple reports describing the same tumor, potentially leading to duplicate or conflicting values across different records. This complicates further use of cancer data. Data fusion addresses this issue by consolidating mult...

Patient Survival Prediction by Analyzing Pathological Images of Patients After Liver Transplantation.

Studies in health technology and informatics
Predicting whether a patient will develop cancer using nuclear features on pathological images is important for decision making regarding patient treatment after liver transplantation or hepatectomy. Unlike manual segmentation to extract nuclei parts...