AIMC Topic: Hospitals, Teaching

Clear Filters Showing 11 to 20 of 20 articles

Re: Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital. A reply.

Clinical radiology Dec 14, 2021
Hospitals, Teaching Humans Computers Deep Learning Multiple Pulmonary Nodules Solitary Pulmonary Nodule
View on PubMed DOI

Re: Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.

Clinical radiology Dec 11, 2021
Multiple Pulmonary Nodules Solitary Pulmonary Nodule Hospitals, Teaching Humans Computers Deep Learning
View on PubMed DOI

Clinical evaluation of a deep-learning-based computer-aided detection system for the detection of pulmonary nodules in a large teaching hospital.

Clinical radiology Aug 14, 2021
AIM: To evaluate a deep-learning-based computer-aided detection (DL-CAD) software system for pulmonary nodule detection on computed tomography (CT) images and assess its added value in the clinical practice of a large teaching hospital.
Female Reproducibility of Results Aged Aged, 80 and over Young Adult Humans Retrospective Studies Tomography, X-Ray Computed Solitary Pulmonary Nodule Radiographic Image Interpretation, Computer-Assisted Hospitals, Teaching Lung Deep Learning Adult Adolescent Sensitivity and Specificity Multiple Pulmonary Nodules Male Middle Aged
View on PubMed DOI

Prospective and External Evaluation of a Machine Learning Model to Predict In-Hospital Mortality of Adults at Time of Admission.

JAMA network open Feb 5, 2020
IMPORTANCE: The ability to accurately predict in-hospital mortality for patients at the time of admission could improve clinical and operational decision-making and outcomes. Few of the machine learning models that have been developed to predict in-h...
Hospital Mortality ROC Curve Area Under Curve Models, Biological Male Middle Aged Risk Assessment Hospitals Hospitals, Teaching Prognosis Retrospective Studies Electronic Health Records Female Hospitalization Aged Aged, 80 and over Humans Adult Machine Learning Forecasting Prospective Studies
View on PubMed DOI

Mixed-integer optimization approach to learning association rules for unplanned ICU transfer.

Artificial intelligence in medicine Jan 30, 2020
After admission to emergency department (ED), patients with critical illnesses are transferred to intensive care unit (ICU) due to unexpected clinical deterioration occurrence. Identifying such unplanned ICU transfers is urgently needed for medical p...
Emergency Service, Hospital Quality Improvement Patient Transfer Hospitals, Teaching Humans Logistic Models Machine Learning Severity of Illness Index Models, Theoretical Critical Illness Time Factors Age Factors Intensive Care Units
View on PubMed DOI

Chaotic genetic algorithm and Adaboost ensemble metamodeling approach for optimum resource planning in emergency departments.

Artificial intelligence in medicine Oct 18, 2017
Long length of stay and overcrowding in emergency departments (EDs) are two common problems in the healthcare industry. To decrease the average length of stay (ALOS) and tackle overcrowding, numerous resources, including the number of doctors, nurses...
Needs Assessment Workflow Computer Simulation Decision Support Systems, Management Delivery of Health Care, Integrated Patient Discharge Humans Length of Stay Health Services Needs and Demand Hospitals, Teaching Efficiency, Organizational Neural Networks, Computer Time Factors Patient Admission Nonlinear Dynamics Machine Learning Emergency Service, Hospital Patient Care Team Decision Support Techniques
View on PubMed DOI

Implementing an artificial intelligence command centre in the NHS: a mixed-methods study.

Health and social care delivery research Oct 1, 2024
BACKGROUND: Hospital 'command centres' use digital technologies to collect, analyse and present real-time information that may improve patient flow and patient safety. Bradford Royal Infirmary has trialled this approach and presents an opportunity to...
Humans Qualitative Research Artificial Intelligence Interviews as Topic COVID-19 United Kingdom Patient Safety State Medicine SARS-CoV-2 Hospitals, Teaching
View on PubMed DOI

A Machine Learning Algorithm to Predict Severe Sepsis and Septic Shock: Development, Implementation, and Impact on Clinical Practice.

Critical care medicine Nov 1, 2019
OBJECTIVES: Develop and implement a machine learning algorithm to predict severe sepsis and septic shock and evaluate the impact on clinical practice and patient outcomes.
Humans Decision Support Systems, Clinical Machine Learning Shock, Septic Algorithms Sensitivity and Specificity Text Messaging Retrospective Studies Diagnosis, Computer-Assisted Hospitals, Teaching Electronic Health Records Sepsis Cohort Studies
View on PubMed DOI

Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.

Critical care medicine Nov 1, 2019
OBJECTIVE: To assess clinician perceptions of a machine learning-based early warning system to predict severe sepsis and septic shock (Early Warning System 2.0).
Humans Machine Learning Algorithms Prospective Studies Electronic Health Records Diagnosis, Computer-Assisted Attitude of Health Personnel Sepsis Decision Support Systems, Clinical Nursing Staff, Hospital Shock, Septic Medical Staff, Hospital Practice Patterns, Physicians' Practice Patterns, Nurses' Text Messaging Hospitals, Teaching
View on PubMed DOI

A centralized automated-dispensing system in a French teaching hospital: return on investment and quality improvement.

International journal for quality in health care : journal of the International Society for Quality in Health Care Apr 1, 2019
OBJECTIVES: To evaluate the return on investment (ROI) and quality improvement after implementation of a centralized automated-dispensing system after 8 years of use.
Prospective Studies Robotics Quality Improvement France Humans Medication Errors Pharmacy Service, Hospital Medication Systems, Hospital Hospitals, Teaching
View on PubMed DOI
Popular Topics
Recent Journals