AIMC Topic: Workflow

Clear Filters Showing 171 to 180 of 576 articles

Ontology-based surgical workflow recognition and prediction.

Journal of biomedical informatics Nov 8, 2022
BACKGROUND: Surgical context-aware systems can adapt to the current situation in the operating room and thus provide computer-aided assistance functionalities and intraoperative decision-support. To interact with the surgical team perceptively and as...
Knowledge Bases Operating Rooms Computer Simulation Workflow
View on PubMed DOI

Applying interpretable machine learning workflow to evaluate exposure-response relationships for large-molecule oncology drugs.

CPT: pharmacometrics & systems pharmacology Oct 20, 2022
The application of logistic regression (LR) and Cox Proportional Hazard (CoxPH) models are well-established for evaluating exposure-response (E-R) relationship in large molecule oncology drugs. However, applying machine learning (ML) models on evalua...
Workflow Proportional Hazards Models Humans Logistic Models Machine Learning
View on PubMed DOI

Adera2.0: A Drug Repurposing Workflow for Neuroimmunological Investigations Using Neural Networks.

Molecules (Basel, Switzerland) Sep 30, 2022
Drug repurposing in the context of neuroimmunological (NI) investigations is still in its primary stages. Drug repurposing is an important method that bypasses lengthy drug discovery procedures and focuses on discovering new usages for known medicati...
Neural Networks, Computer Drug Discovery Drug Repositioning Data Mining Workflow
View on PubMed DOI

Adversarial attacks and adversarial robustness in computational pathology.

Nature communications Sep 29, 2022
Artificial Intelligence (AI) can support diagnostic workflows in oncology by aiding diagnosis and providing biomarkers directly from routine pathology slides. However, AI applications are vulnerable to adversarial attacks. Hence, it is essential to q...
Artificial Intelligence Workflow Knowledge Electric Power Supplies Neural Networks, Computer
View on PubMed DOI

A collaborative workflow between pathologists and deep learning for the evaluation of tumour cellularity in lung adenocarcinoma.

Histopathology Sep 12, 2022
AIMS: The reporting of tumour cellularity in cancer samples has become a mandatory task for pathologists. However, the estimation of tumour cellularity is often inaccurate. Therefore, we propose a collaborative workflow between pathologists and artif...
Humans Artificial Intelligence Pathologists Adenocarcinoma of Lung Lung Neoplasms Workflow Deep Learning
View on PubMed DOI

Automated Identification of Clinical Procedures in Free-Text Electronic Clinical Records with a Low-Code Named Entity Recognition Workflow.

Methods of information in medicine Sep 12, 2022
BACKGROUND: Clinical procedures are often performed in outpatient clinics without prior scheduling at the administrative level, and documentation of the procedure often occurs solely in free-text clinical electronic notes. Natural language processing...
Natural Language Processing Workflow Electronic Health Records Electronics Documentation Software
View on PubMed DOI

Anticipation for surgical workflow through instrument interaction and recognized Signals.

Medical image analysis Sep 6, 2022
Surgical workflow anticipation is an essential task for computer-assisted intervention (CAI) systems. It aims at predicting the future surgical phase and instrument occurrence, providing support for intra-operative decision-support system. Recent stu...
Workflow Artifacts Surgical Instruments Neural Networks, Computer Image Processing, Computer-Assisted Humans
View on PubMed DOI

Automated Protocoling for MRI Exams-Challenges and Solutions.

Journal of digital imaging Aug 30, 2022
Automated protocoling for MRI examinations is an amendable target for workflow automation with artificial intelligence. However, there are still challenges to overcome for a successful and robust approach. These challenges are outlined and analyzed i...
Artificial Intelligence Magnetic Resonance Imaging Automation Brain Workflow Humans
View on PubMed DOI

Automated surgical workflow identification by artificial intelligence in laparoscopic hepatectomy: Experimental research.

International journal of surgery (London, England) Aug 27, 2022
BACKGROUND: To perform accurate laparoscopic hepatectomy (LH) without injury, novel intraoperative systems of computer-assisted surgery (CAS) for LH are expected. Automated surgical workflow identification is a key component for developing CAS system...
Artificial Intelligence Laparoscopy Humans Neural Networks, Computer Workflow Hepatectomy
View on PubMed DOI

How do providers of artificial intelligence (AI) solutions propose and legitimize the values of their solutions for supporting diagnostic radiology workflow? A technography study in 2021.

European radiology Aug 18, 2022
OBJECTIVES: How do providers of artificial intelligence (AI) solutions propose and legitimize the values of their solutions for supporting diagnostic radiology workflow?
Data Collection Radiology Workflow Humans Radiography Artificial Intelligence
View on PubMed DOI
Popular Topics
Recent Journals