AIMC Topic: Patient Selection

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Myocardial Fractional Flow Reserve Measurement Using Contrast Media as a First-Line Assessment of Coronary Lesions in Current Practice.

The Canadian journal of cardiology Sep 25, 2015
BACKGROUND: Fractional flow reserve (FFR) measurement requires adenosine injection. However, adenosine can induce conductive and rhythmic complications, or be contraindicated in some patients. Contrast-induced hyperemia could provide a simple first-l...
Coronary Stenosis Fractional Flow Reserve, Myocardial Adenosine Risk Factors Aged Predictive Value of Tests Sensitivity and Specificity Humans Middle Aged Coronary Angiography Male Prospective Studies Risk Assessment Patient Selection Female Body Mass Index France Reproducibility of Results Contrast Media Triiodobenzoic Acids
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Textual inference for eligibility criteria resolution in clinical trials.

Journal of biomedical informatics Sep 14, 2015
Clinical trials are essential for determining whether new interventions are effective. In order to determine the eligibility of patients to enroll into these trials, clinical trial coordinators often perform a manual review of clinical notes in the e...
Humans Pattern Recognition, Automated Clinical Trials as Topic Vocabulary, Controlled Eligibility Determination Electronic Health Records Natural Language Processing Patient Selection Data Mining
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The learning curve in robotic distal pancreatectomy.

Updates in surgery May 20, 2015
No data are available on the learning curve in robotic distal pancreatectomy (RADP). The learning curve in RADP was assessed in 55 consecutive patients using the cumulative sum method, based on operative time. Data were extracted from a prospectively...
Clinical Competence Operative Time Robotics Patient Selection Pancreatectomy Reoperation Learning Curve Female Male Middle Aged Humans Postoperative Complications Retrospective Studies Length of Stay
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Robot-assisted transaxillary thyroidectomy: surgical technique.

European annals of otorhinolaryngology, head and neck diseases May 13, 2015
Robot-assisted transaxillary thyroid surgery avoids the need for a neck incision. It consists of thyroid lobectomy and isthmectomy for moderately large unilateral benign nodules. The surgical imperatives are the same as for conventional surgery, but ...
Robotics Feasibility Studies Patient Selection Patient Satisfaction Thyroidectomy Humans Thyroid Neoplasms Thyroid Diseases Treatment Outcome Axilla
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Continence outcomes of robot-assisted radical prostatectomy in patients with adverse urinary continence risk factors.

BJU international May 11, 2015
OBJECTIVE: To analyse the continence outcomes of robot-assisted radical prostatectomy (RARP) in suboptimal patients that have challenging continence recovery factors such as enlarged prostates, elderly patients, higher body mass index (BMI), salvage ...
Salvage Therapy Prostatectomy Urinary Incontinence Directive Counseling Organ Size Robotics Prostatic Neoplasms Patient Selection Humans Risk Factors Male Risk Assessment Treatment Outcome Body Mass Index Age Factors Obesity Recovery of Function
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Increasing the efficiency of trial-patient matching: automated clinical trial eligibility pre-screening for pediatric oncology patients.

BMC medical informatics and decision making Apr 14, 2015
BACKGROUND: Manual eligibility screening (ES) for a clinical trial typically requires a labor-intensive review of patient records that utilizes many resources. Leveraging state-of-the-art natural language processing (NLP) and information extraction (...
Humans Neoplasms Child Natural Language Processing Patient Selection Information Storage and Retrieval Clinical Trials as Topic Eligibility Determination
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Identifying predictive features in drug response using machine learning: opportunities and challenges.

Annual review of pharmacology and toxicology Dec 12, 2014
This article reviews several techniques from machine learning that can be used to study the problem of identifying a small number of features, from among tens of thousands of measured features, that can accurately predict a drug response. Prediction ...
Neural Networks, Computer Artificial Intelligence Algorithms Patient Safety Precision Medicine Humans Antineoplastic Agents Gene Regulatory Networks Gene Expression Regulation, Neoplastic Drug-Related Side Effects and Adverse Reactions Risk Factors Cluster Analysis Pattern Recognition, Automated Animals Patient Selection Pharmacology Risk Assessment Drug Discovery
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Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department.

Journal of the American Medical Informatics Association : JAMIA Jul 16, 2014
OBJECTIVES: (1) To develop an automated eligibility screening (ES) approach for clinical trials in an urban tertiary care pediatric emergency department (ED); (2) to assess the effectiveness of natural language processing (NLP), information extractio...
Information Storage and Retrieval Clinical Trials as Topic Eligibility Determination Artificial Intelligence Natural Language Processing Emergency Service, Hospital Patient Selection Efficiency, Organizational Humans
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Estimating individualized effectiveness of receiving successful recanalization for ischemic stroke cases using machine learning techniques.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 1, 2025
OBJECTIVES: Directly measuring the causal effect of mechanical thrombectomy (MT) for each ischemic stroke patient remains challenging, as it is impossible to observe the outcomes for both with and without successful recanalization in the same individ...
Aged, 80 and over Male Middle Aged Risk Assessment Time Factors Thrombolytic Therapy Clinical Decision-Making Disability Evaluation Female Humans Functional Status Risk Factors Machine Learning Patient Selection Aged Decision Support Techniques Thrombectomy Treatment Outcome Precision Medicine Recovery of Function Retrospective Studies Predictive Value of Tests Ischemic Stroke
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Artificial intelligence in liver cancer surgery: Predicting success before the first incision.

World journal of gastroenterology Apr 28, 2025
Advancements in machine learning have revolutionized preoperative risk assessment. In this article, we comment on the article by Huang , which presents a recent multicenter cohort study demonstrated that machine learning algorithms effectively strati...
Humans Disease-Free Survival Hepatectomy Bile Duct Neoplasms Cholangiocarcinoma Risk Assessment Artificial Intelligence Liver Neoplasms Machine Learning Treatment Outcome Prognosis Neoplasm Recurrence, Local Clinical Decision-Making Patient Selection
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