AIMC Topic: Workflow

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Automatic Prediction of Molecular Properties Using Substructure Vector Embeddings within a Feature Selection Workflow.

Journal of chemical information and modeling Dec 23, 2024
Machine learning (ML) methods provide a pathway to accurately predict molecular properties, leveraging patterns derived from structure-property relationships within materials databases. This approach holds significant importance in drug discovery and...
Workflow Automation Machine Learning Algorithms Drug Discovery
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Artificial intelligence-derived coronary artery calcium scoring saves time and achieves close to radiologist-level accuracy accuracy on routine ECG-gated CT.

The international journal of cardiovascular imaging Dec 16, 2024
Artificial Intelligence (AI) has been proposed to improve workflow for coronary artery calcium scoring (CACS), but simultaneous demonstration of improved efficiency, accuracy, and clinical stability have not been demonstrated. 148 sequential patients...
Reproducibility of Results Workflow Aged Observer Variation Male Artificial Intelligence Middle Aged Coronary Vessels Retrospective Studies Severity of Illness Index Humans Female Computed Tomography Angiography Radiologists Time Factors Electrocardiography Cardiac-Gated Imaging Techniques Multidetector Computed Tomography Radiographic Image Interpretation, Computer-Assisted Predictive Value of Tests Coronary Artery Disease Vascular Calcification Coronary Angiography
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Off-console automated artificial intelligence enhanced workflow enables improved emergency department CT capacity.

Emergency radiology Dec 11, 2024
PURPOSE: Increasing CT capacity to keep pace with rising ED demand is critical. The conventional process has inherent drawbacks. We evaluated an off-console automated AI enhanced workflow which moves all final series creation off-console. We hypothes...
Male Middle Aged Emergency Service, Hospital Workflow Efficiency, Organizational Tomography, X-Ray Computed Female Adult Humans Artificial Intelligence Retrospective Studies
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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.
Australia Workflow Patient Reported Outcome Measures Artificial Intelligence Hospitals Surveys and Questionnaires Medical Informatics Humans
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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...
Software Algorithms Peptides Proteomics Humans Machine Learning Workflow
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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...
Brain Neoplasms Female Workflow Humans Deep Learning Male Multiparametric Magnetic Resonance Imaging Glioblastoma Aged Middle Aged Prognosis Adult
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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...
Environmental Monitoring Neural Networks, Computer Workflow Support Vector Machine Machine Learning Microplastics Algorithms
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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...
Radiology Workflow Large Language Models Humans Artificial Intelligence Language
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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...
Workflow Radiotherapy Planning, Computer-Assisted Humans Quality Assurance, Health Care Phantoms, Imaging Brain Neoplasms Artificial Intelligence Radiotherapy Dosage Image Processing, Computer-Assisted Tomography, X-Ray Computed Radiotherapy, Intensity-Modulated Magnetic Resonance Imaging Patient Positioning
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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...
Workflow Digital Health Humans Delivery of Health Care Artificial Intelligence Practice Patterns, Physicians' Hospitals Machine Learning Information Technology
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