AIMC Topic: Quality Improvement
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Physicians' preferences and willingness to pay for artificial intelligence-based assistance tools: a discrete choice experiment among german radiologists.
BMC health services research
Mar 26, 2022
BACKGROUND: Artificial Intelligence (AI)-based assistance tools have the potential to improve the quality of healthcare when adopted by providers. This work attempts to elicit preferences and willingness to pay for these tools among German radiologis...
Capturing Surgical Data: Comparing a Quality Improvement Registry to Natural Language Processing and Manual Chart Review.
Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract
Feb 28, 2022
INTRODUCTION: Collecting accurate operative details remains a limitation of surgical research. Surgeon-entered data in clinical registries offers one solution, but natural language processing (NLP) has emerged as a modality for automating manual char...
Improvement of DBR routing protocol in underwater wireless sensor networks using fuzzy logic and bloom filter.
PloS one
Feb 7, 2022
Routing protocols for underwater wireless sensor networks (UWSN) and underwater Internet of Things (IoT_UWSN) networks have expanded significantly. DBR routing protocol is one of the most critical routing protocols in UWSNs. In this routing protocol,...
Quality in MR reporting of the prostate – improving acquisition, the role of AI and future perspectives.
The British journal of radiology
Feb 4, 2022
The high quality of MRI reporting of the prostate is the most critical component of the service provided by a radiologist. Prostate MRI structured reporting with PI-RADS v. 2.1 has been proven to improve consistency, quality, guideline-based care in ...
Natural language processing for automated surveillance of intraoperative neuromonitoring in spine surgery.
Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia
Jan 28, 2022
We sought to develop natural language processing (NLP) methods for automated detection and characterization of neuromonitoring documentation from free-text operative reports in patients undergoing spine surgery. We included 13,718 patients who receiv...
Robot-assisted versus laparoscopic approach to concurrent bariatric surgery and hiatal hernia repair: propensity score matching analysis using the 2015-2018 MBSAQIP.
Surgical endoscopy
Jan 12, 2022
BACKGROUND: Up to 37% of class three obesity patients have a Hiatal Hernia (HH). Most of the existent HHs get repaired at the time of bariatric surgery. Although the robotic platform might offer potential technical advantages over traditional laparos...
Improving Radiographic Fracture Recognition Performance and Efficiency Using Artificial Intelligence.
Radiology
Dec 21, 2021
Background Missed fractures are a common cause of diagnostic discrepancy between initial radiographic interpretation and the final read by board-certified radiologists. Purpose To assess the effect of assistance by artificial intelligence (AI) on dia...
Deep learning-based artificial intelligence applications in prostate MRI: brief summary.
The British journal of radiology
Dec 3, 2021
Prostate cancer (PCa) is the most common cancer type in males in the Western World. MRI has an established role in diagnosis of PCa through guiding biopsies. Due to multistep complex nature of the MRI-guided PCa diagnosis pathway, diagnostic performa...
Optimization of clinical risk-factor interpretation and radiological findings with machine learning for PIRADS category 3 patients.
The Prostate
Nov 15, 2021
BACKGROUND: Due to the low cancer-detection rate in patients with PIRADS category 3 lesions, we created machine learning (ML) models to facilitate decision-making about whether to perform prostate biopsies or monitor clinical information without biop...
Prostatic Neoplasms
Prostate-Specific Antigen
Unnecessary Procedures
Ultrasonography, Interventional
Humans
Public Reporting of Healthcare Data
Male
Machine Learning
Prostate
Risk Assessment
Quality Improvement
Research Design
Magnetic Resonance Imaging
Image-Guided Biopsy
Aged
Sensitivity and Specificity
High alert drugs screening using gradient boosting classifier.
Scientific reports
Oct 11, 2021
Prescription errors in high alert drugs (HAD), a group of drugs that have a high risk of complications and potential negative consequences, are a major and serious problem in medicine. Standardized hospital interventions, protocols, or guidelines wer...
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