AIMC Topic: Workflow

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Virtual Enumerator's Training for Time and Motion Studies Using AI Scenarios.

Studies in health technology and informatics
This paper presents the implementation of a virtual training program for enumerators conducting Time and Motion Studies using the WOMBAT methodology, as part of a project assessing healthcare workflows before the adoption of an Electronic Health Reco...

Co-Designing AI Interventions: A Participatory Approach Using System Mapping and Theory of Change Modelling.

Studies in health technology and informatics
In a workshop setting, Participatory Systems Mapping and Theory of Change modelling were employed for the purpose of analysing clinical workflows and assessing the integration of an AI-based prediction system. These methods aimed to visualise challen...

Privacy-Protecting Image Classification Within the Web Browser Using Deep Learning Models from Zenodo.

Studies in health technology and informatics
Integrating deep learning into clinical workflows for medical image analysis holds promise for improving diagnostic accuracy. However, strict data privacy regulations and the sensitivity of clinical IT infrastructure limit the deployment of cloud-bas...

A Deep Learning-Enabled Workflow to Estimate Real-World Progression-Free Survival in Patients With Metastatic Breast Cancer: Study Using Deidentified Electronic Health Records.

JMIR cancer
BACKGROUND: Progression-free survival (PFS) is a crucial endpoint in cancer drug research. Clinician-confirmed cancer progression, namely real-world PFS (rwPFS) in unstructured text (ie, clinical notes), serves as a reasonable surrogate for real-worl...

Artificial Intelligence in Diagnostic Radiology: Where Do We Stand, Challenges, and Opportunities.

Journal of computer assisted tomography
Artificial intelligence (AI) is the most revolutionizing development in the health care industry in the current decade, with diagnostic imaging having the greatest share in such development. Machine learning and deep learning (DL) are subclasses of A...

AI usage among medical students in Palestine: a cross-sectional study and demonstration of AI-assisted research workflows.

BMC medical education
BACKGROUND: Artificial Intelligence (AI) is transforming medical education globally, offering solutions to challenges such as resource limitations and limited clinical exposure. However, its integration in resource-constrained settings like Palestine...

High-content screening (HCS) workflows for FAIR image data management with OMERO.

Scientific reports
High-content screening (HCS) for bioimaging is a powerful approach to studying biological processes, enabling the acquisition of large amounts of images from biological samples. However, it generates massive amounts of metadata, making HCS experiment...

Automatic biomarker discovery and enrichment with BRAD.

Bioinformatics (Oxford, England)
MOTIVATION: Integrating Large Language Models (LLMs) with research tools presents technical and reproducibility challenges for biomedical research. While commercial artificial intelligence (AI) systems are easy to adopt, they obscure data provenance,...

Using an AI-Powered Solution to Transform Nursing Workflow and Improve Inpatient Care: A Retrospective Observational Study.

The American journal of nursing
BACKGROUND: Nurses face an escalating workload, including tasks not directly related to patient care, such as responding to patients' requests for water or extra blankets, and adjusting room conditions like air conditioning, which can contribute to b...

Legal Implication in Utilizing Automated Robots: A Written Informed Consent Form Proposal.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Robotic systems enhance physicians' capabilities by replicating hand movements in real-time, ensuring precise control and a quick return to conventional procedures if patient safety is compromised. Physicians performing robot-assisted pro...