AIMC Topic: Patient Compliance

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Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: The complexity and rapid pace of development of algorithmic technologies pose challenges for their regulation and oversight in healthcare settings. We sought to improve our institution's approach to evaluation and governance of algorithmic...

Comparative study of ChatGPT and human evaluators on the assessment of medical literature according to recognised reporting standards.

BMJ health & care informatics
INTRODUCTION: Amid clinicians' challenges in staying updated with medical research, artificial intelligence (AI) tools like the large language model (LLM) ChatGPT could automate appraisal of research quality, saving time and reducing bias. This study...

Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy.

Studies in health technology and informatics
The problem of consistent therapy adherence is a current challenge for health informatics, and its solution can increase the success rate of treatments. Here we show a methodology to predict, at individual-level, future therapy adherence for patients...

Development of a predictive model for retention in HIV care using natural language processing of clinical notes.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Adherence to a treatment plan from HIV-positive patients is necessary to decrease their mortality and improve their quality of life, however some patients display poor appointment adherence and become lost to follow-up (LTFU). We applied n...

Role of Instruction Adherence During Highly Structured Robotic Arm Training on Motor Outcomes for Individuals After Chronic Stroke.

American journal of physical medicine & rehabilitation
The aim of this study was to examine the effects of instruction adherence on upper limb motor outcomes after highly structured intervention. A secondary data analysis was completed using mixed linear modeling design. Thirty chronic stroke survivors w...

Randomized controlled trial of OnTrack, a just-in-time adaptive intervention designed to enhance weight loss.

Translational behavioral medicine
Individual instances of nonadherence to reduced calorie dietary prescriptions, that is, dietary lapses, represent a key challenge for weight management. Just-in-time adaptive interventions (JITAIs), which collect and analyze data in real time to deli...

Using Machine Learning for Personalized Patient Adherence Level Determination.

Studies in health technology and informatics
The paper deals with using a machine-learning algorithm for patient adherence level determination. For this purpose, we developed a neural network using the Python language, Keras library, and PyCharm platform. We analyzed different medical data coll...

Patient's Adherence Level Determination System.

Studies in health technology and informatics
The present paper deals with intellectual systems for patient's level adherence determination. The most popular novadays technique for adherence evaluation is interview. We advise new automation approach, which compares direct pation data with treatm...

Information System of Personalized Patient's Adherence Level Determination.

Studies in health technology and informatics
The present paper deals with intellectual system for determination and evaluation of personalized patient's level of adherence. The most popular nowadays techniques for adherence evaluation are interview and questionnaires. We propose a new automated...