AIMC Topic: Research Design

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Cocreating an Automated mHealth Apps Systematic Review Process With Generative AI: Design Science Research Approach.

JMIR medical education Feb 12, 2024
BACKGROUND: The use of mobile devices for delivering health-related services (mobile health [mHealth]) has rapidly increased, leading to a demand for summarizing the state of the art and practice through systematic reviews. However, the systematic re...
Telemedicine Research Design Artificial Intelligence Systematic Reviews as Topic Mobile Applications Humans
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Ensemble learning based transmission line fault classification using phasor measurement unit (PMU) data with explainable AI (XAI).

PloS one Feb 12, 2024
A large volume of data is being captured through the Phasor Measurement Unit (PMU), which opens new opportunities and challenges to the study of transmission line faults. To be specific, the Phasor Measurement Unit (PMU) data represents many differen...
Research Design Mental Recall Machine Learning Computer Simulation Cluster Analysis
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Exploring Transformer Model in Longitudinal Pharmacokinetic/Pharmacodynamic Analyses and Comparing with Alternative Natural Language Processing Models.

Journal of pharmaceutical sciences Feb 11, 2024
There remains a substantial need for a comprehensive assessment of various natural language processing (NLP) algorithms in longitudinal pharmacokinetic/pharmacodynamic (PK/PD) modeling despite recent advances in machine learning in the space of quant...
Models, Biological Natural Language Processing Algorithms Time Factors Research Design
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Classification of human walking context using a single-point accelerometer.

Scientific reports Feb 6, 2024
Real-world walking data offers rich insights into a person's mobility. Yet, daily life variations can alter these patterns, making the data challenging to interpret. As such, it is essential to integrate context for the extraction of meaningful infor...
Humans Machine Learning Walking Accelerometry Research Design Algorithms
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Beyond integrative experiment design: Systematic experimentation guided by causal discovery AI.

The Behavioral and brain sciences Feb 5, 2024
Integrative experiment design is a needed improvement over ad hoc experiments, but the specific proposed method has limitations. We urge a further break with tradition through the use of an enormous untapped resource: Decades of causal discovery arti...
Artificial Intelligence Humans Research Design
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ChatGPT performance in prosthodontics: Assessment of accuracy and repeatability in answer generation.

The Journal of prosthetic dentistry Feb 2, 2024
STATEMENT OF PROBLEM: The artificial intelligence (AI) software program ChatGPT is based on large language models (LLMs) and is widely accessible. However, in prosthodontics, little is known about its performance in generating answers.
Prosthodontics Software Artificial Intelligence Reproducibility of Results Research Design
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deepPGSegNet: MRI-based pituitary gland segmentation using deep learning.

Frontiers in endocrinology Feb 2, 2024
INTRODUCTION: In clinical research on pituitary disorders, pituitary gland (PG) segmentation plays a pivotal role, which impacts the diagnosis and treatment of conditions such as endocrine dysfunctions and visual impairments. Manual segmentation, whi...
Image Processing, Computer-Assisted Research Design Pituitary Gland Deep Learning Humans Magnetic Resonance Imaging
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Benford's Law and distributions for better drug design.

Expert opinion on drug discovery Feb 1, 2024
INTRODUCTION: Modern drug discovery incorporates various tools and data, heralding the beginning of the data-driven drug design (DD) era. The distributions of chemical and physical data used for Artificial Intelligence (AI)/Machine Learning (ML) and ...
Humans Artificial Intelligence Research Design Drug Design Machine Learning Drug Discovery
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Point-Of-Care low-field MRI in acute Stroke (POCS): protocol for a multicentric prospective open-label study evaluating diagnostic accuracy.

BMJ open Jan 31, 2024
INTRODUCTION: Fast and accurate diagnosis of acute stroke is crucial to timely initiate reperfusion therapies. Conventional high-field (HF) MRI yields the highest accuracy in discriminating early ischaemia from haemorrhages and mimics. Rapid access t...
Multicenter Studies as Topic Magnetic Resonance Imaging Humans Stroke Artificial Intelligence Prospective Studies Research Design Point-of-Care Systems
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Machine Learning and Health Science Research: Tutorial.

Journal of medical Internet research Jan 30, 2024
Machine learning (ML) has seen impressive growth in health science research due to its capacity for handling complex data to perform a range of tasks, including unsupervised learning, supervised learning, and reinforcement learning. To aid health sci...
Reinforcement, Psychology Humans Research Design Machine Learning Research Personnel
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