Search
Search Results
-
A New Clinical Examination Algorithm to Prescribe Conservative Treatment in People with Hip-Related Pain
Hip-related pain is a common issue in active adults affecting their quality of life, mobility, and overall function, and it can lead to persistent...
-
Development and Validation of a Machine Learning Algorithm Using Clinical Pages to Predict Imminent Clinical Deterioration
BackgroundEarly detection of clinical deterioration among hospitalized patients is a clinical priority for patient safety and quality of care....
-
Breast MRI: does a clinical decision algorithm outweigh reader experience?
ObjectivesDue to its high sensitivity, DCE MRI of the breast (MRIb) is increasingly used for both screening and assessment purposes. The Kaiser score...
-
Clinical algorithm reduces antibiotic use among children presenting with respiratory symptoms to hospital in central Vietnam
ObjectiveTo assess the safety and utility of a pragmatic clinical algorithm to guide rational antibiotic use in children presenting with respiratory...
-
Natural Language Processing Algorithm Used for Staging Pulmonary Oncology from Free-Text Radiological Reports: “Including PET-CT and Validation Towards Clinical Use”
Natural language processing (NLP) can be used to process and structure free text, such as (free text) radiological reports. In radiology, it is...
-
Postmenopausal onset of androgen excess: a diagnostic and therapeutic algorithm based on extensive clinical experience
PurposePostmenopausal hyperandrogenism is a rare condition that requires identifying those women bearing a life-threatening tumor. We aimed to study...
-
Deep learning based automatic detection algorithm for acute intracranial haemorrhage: a pivotal randomized clinical trial
Acute intracranial haemorrhage (AIH) is a potentially life-threatening emergency that requires prompt and accurate assessment and management. This...
-
Implementation of a Regional Oxygen Saturation Thought Algorithm and Association with Clinical Outcomes in Pediatric Patients Following Cardiac Surgery
Near infrared spectroscopy is routinely used in the noninvasive monitoring of cerebral and somatic regional oxygen saturation (rSO 2 ) in pediatric...
-
Clinical language search algorithm from free-text: facilitating appropriate imaging
BackgroundThe comprehensiveness and maintenance of the American College of Radiology (ACR) Appropriateness Criteria (AC) makes it a unique resource...
-
Clinical validation of an AI-based motion correction reconstruction algorithm in cerebral CT
ObjectivesTo evaluate the clinical performance of an artificial intelligence (AI)–based motion correction (MC) reconstruction algorithm for cerebral...
-
A data-driven algorithm to support the clinical decision-making of patient extrication following a road traffic collision
BackgroundSome patients involved in a road traffic collision (RTC) are physically entrapped and extrication is required to provide critical...
-
Clinical evaluation of deep learning–based clinical target volume three-channel auto-segmentation algorithm for adaptive radiotherapy in cervical cancer
ObjectivesAccurate contouring of the clinical target volume (CTV) is a key element of radiotherapy in cervical cancer. We validated a novel deep...
-
Proposal of a diagnostic algorithm for radiation-induced dropped head syndrome in long-term childhood cancer survivors based on a prospective study in a specialized clinical setting and a review of the literature
PurposeTo prospectively assess the incidence of Dropped Head Syndrome (DHS) in childhood cancer survivors (CCS) and to develop and evaluate a...
-
Clinical Frailty Scale at presentation to the emergency department: interrater reliability and use of algorithm-assisted assessment
PurposeThe Clinical Frailty Scale (CFS) allows health care providers to quickly stratify older patients, to support clinical decision-making....
-
An optimal brain tumor segmentation algorithm for clinical MRI dataset with low resolution and non-contiguous slices
BackgroundSegmenting brain tumor and its constituent regions from magnetic resonance images (MRI) is important for planning diagnosis and treatment....
-
Expert design thinking workshops to analyze users’ perceived applicability of NUTRI-ONCOCARE algorithm to prevent and treat malnutrition in cancer patients under routine clinical practice conditions in Spain: the ALLIANCE study
PurposeNUTRI-ONCOCARE algorithm has been developed to identify and treat patients with solid tumors who are at risk of malnutrition. The present...
-
A framework for precision “dosing” of mental healthcare services: algorithm development and clinical pilot
BackgroundOne in five adults in the US experience mental illness and over half of these adults do not receive treatment. In addition to the access...
-
Development of Clinical Algorithm Utilizing Vibration-Controlled Transient Elastography to Detect Advanced Hepatic Fibrosis in Liver Transplant Recipients
IntroductionVibration-controlled transient elastography (VCTE) based liver stiffness measurement (LSM) is an excellent ‘rule-out’ test for advanced...
-
Clinical Data based XGBoost Algorithm for infection risk prediction of patients with decompensated cirrhosis: a 10-year (2012–2021) Multicenter Retrospective Case-control study
ObjectivesTo appraise effective predictors for infection in patients with decompensated cirrhosis (DC) by using XGBoost algorithm in a retrospective...
-
Clinical application of artificial intelligence algorithm for prediction of one-year mortality in heart failure patients
Risk prediction for heart failure (HF) using machine learning methods (MLM) has not yet been established at practical application levels in clinical...
