AIMC Topic: Workflow

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Artificial intelligence after the bedside: co-design of AI-based clinical informatics workflows to routinely analyse patient-reported experience measures in hospitals.

BMJ health & care informatics Dec 9, 2024
OBJECTIVE: To co-design artificial intelligence (AI)-based clinical informatics workflows to routinely analyse patient-reported experience measures (PREMs) in hospitals.
Patient Reported Outcome Measures Medical Informatics Humans Artificial Intelligence Hospitals Surveys and Questionnaires Australia Workflow
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ProPickML: Advancing Clinical Diagnostics with Automated Peak Picking in Label-Free Targeted Proteomics.

Journal of proteome research Dec 7, 2024
In targeted proteomics utilizing Selected Reaction Monitoring (SRM), the precise detection of specific peptides within complex mixtures remains a significant challenge, particularly due to noise and interference in chromatograms. Existing methodologi...
Humans Machine Learning Software Workflow Algorithms Peptides Proteomics
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Deep learning-based overall survival prediction in patients with glioblastoma: An automatic end-to-end workflow using pre-resection basic structural multiparametric MRIs.

Computers in biology and medicine Dec 4, 2024
PURPOSE: Accurate and automated early survival prediction is critical for patients with glioblastoma (GBM) as their poor prognosis requires timely treatment decision-making. To address this need, we developed a deep learning (DL)-based end-to-end wor...
Humans Prognosis Middle Aged Deep Learning Adult Glioblastoma Brain Neoplasms Workflow Male Female Multiparametric Magnetic Resonance Imaging Aged
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Machine learning based workflow for (micro)plastic spectral reconstruction and classification.

Chemosphere Dec 3, 2024
With the advancement of artificial intelligence, it is foreseeable that computer-assisted identification of microplastics (MPs) will become increasingly widespread. Therefore, exploring a machine learning-based workflow to facilitate the identificati...
Neural Networks, Computer Support Vector Machine Machine Learning Workflow Algorithms Microplastics Environmental Monitoring
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Multi-modal large language models in radiology: principles, applications, and potential.

Abdominal radiology (New York) Dec 2, 2024
Large language models (LLMs) and multi-modal large language models (MLLMs) represent the cutting-edge in artificial intelligence. This review provides a comprehensive overview of their capabilities and potential impact on radiology. Unlike most exist...
Workflow Large Language Models Artificial Intelligence Language Radiology Humans
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Brain MR-only workflow in clinical practice: A comparison among generators for quality assurance and patient positioning.

Journal of applied clinical medical physics Nov 25, 2024
BACKGROUND AND PURPOSE: Routine quality control procedures are still required for sCT based on artificial intelligence (AI) to verify the performance of the generators. The aim of this study was to evaluate three generators based on AI or bulk densit...
Artificial Intelligence Radiotherapy Dosage Radiotherapy, Intensity-Modulated Tomography, X-Ray Computed Workflow Humans Phantoms, Imaging Image Processing, Computer-Assisted Patient Positioning Brain Neoplasms Radiotherapy Planning, Computer-Assisted Magnetic Resonance Imaging Quality Assurance, Health Care
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Implementation of Machine Learning Applications in Health Care Organizations: Systematic Review of Empirical Studies.

Journal of medical Internet research Nov 25, 2024
BACKGROUND: There is a growing enthusiasm for machine learning (ML) among academics and health care practitioners. Despite the transformative potential of ML-based applications for patient care, their uptake and implementation in health care organiza...
Delivery of Health Care Humans Machine Learning Practice Patterns, Physicians' Artificial Intelligence Hospitals Digital Health Information Technology Workflow
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The Transformative Impact of AI, Extended Reality, and Robotics in Interventional Radiology: Current Trends and Applications.

Techniques in vascular and interventional radiology Nov 22, 2024
Interventional Radiology is at the forefront of integrating advanced imaging techniques and minimally-invasive procedures to enhance patient care. The advent of Digital Health Technologies (DHTs), including artificial intelligence (AI), robotics, and...
Humans Augmented Reality Artificial Intelligence Diffusion of Innovation Radiology, Interventional Forecasting Radiography, Interventional Robotics Workflow
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Automated workflow for the cell cycle analysis of (non-)adherent cells using a machine learning approach.

eLife Nov 22, 2024
Understanding the cell cycle at the single-cell level is crucial for cellular biology and cancer research. While current methods using fluorescent markers have improved the study of adherent cells, non-adherent cells remain challenging. In this study...
Humans Machine Learning Cell Cycle Image Processing, Computer-Assisted Cell Adhesion Workflow Leukemia, Myeloid, Acute Automation Cell Line, Tumor
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Automated Single Cell Phenotyping of Time-of-Flight Secondary Ion Mass Spectrometry Tissue Images.

Journal of the American Society for Mass Spectrometry Nov 19, 2024
Existing analytical techniques are being improved or applied in new ways to profile the tissue microenvironment (TME) to better understand the role of cells in disease research. Fully understanding the complex interactions between cells of many diffe...
Mice Workflow Spectrometry, Mass, Secondary Ion Single-Cell Analysis Image Processing, Computer-Assisted Humans Phenotype Animals Deep Learning
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