AIMC Topic: Observational Studies as Topic

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Frameworks for estimating causal effects in observational settings: comparing confounder adjustment and instrumental variables.

BMC medical research methodology May 22, 2023
To estimate causal effects, analysts performing observational studies in health settings utilize several strategies to mitigate bias due to confounding by indication. There are two broad classes of approaches for these purposes: use of confounders an...
Causality Observational Studies as Topic Bias Confounding Factors, Epidemiologic Humans Machine Learning
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Comment on 'study and validation of an explainable machine learning-based mortality prediction following emergency surgery in the elderly: a prospective observational study'.

International journal of surgery (London, England) Apr 1, 2023
Emergencies Observational Studies as Topic Surgical Procedures, Operative Forecasting Prospective Studies Aged Mortality Humans Machine Learning
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Recommended practices and ethical considerations for natural language processing-assisted observational research: A scoping review.

Clinical and translational science Dec 26, 2022
An increasing number of studies have reported using natural language processing (NLP) to assist observational research by extracting clinical information from electronic health records (EHRs). Currently, no standardized reporting guidelines for NLP-a...
Electronic Health Records Reproducibility of Results Observational Studies as Topic Natural Language Processing Humans Artificial Intelligence
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Preliminary Outcomes After Same Day Discharge Protocol for Robot-Assisted Partial Nephrectomy: A Single Centre Experience.

Urology Apr 8, 2022
OBJECTIVE: To assess the feasibility and safety of same-day discharge (SDD) surgery after robot-assisted partial nephrectomy (RAPN) in patients with small renal tumors.
Postoperative Complications Treatment Outcome Observational Studies as Topic Robotics Humans Retrospective Studies Middle Aged Nephrectomy Robotic Surgical Procedures Patient Discharge Kidney Neoplasms
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Retzius Sparing Radical Prostatectomy Versus Robot-assisted Radical Prostatectomy: Which Technique Is More Beneficial for Prostate Cancer Patients (MASTER Study)? A Systematic Review and Meta-analysis.

European urology focus Aug 21, 2021
CONTEXT: Retzius sparing robot-assisted radical prostatectomy (RS-RARP) is increasingly being used, but results of pertinent studies on perioperative, functional, and oncological outcomes comparing the Retzius sparing approach with standard robot-ass...
Prostatectomy Erectile Dysfunction Margins of Excision Robotics Prostatic Neoplasms Robotic Surgical Procedures Humans Male Treatment Outcome Observational Studies as Topic
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Moving from bytes to bedside: a systematic review on the use of artificial intelligence in the intensive care unit.

Intensive care medicine Jun 5, 2021
PURPOSE: Due to the increasing demand for intensive care unit (ICU) treatment, and to improve quality and efficiency of care, there is a need for adequate and efficient clinical decision-making. The advancement of artificial intelligence (AI) technol...
Intensive Care Units Observational Studies as Topic Humans Artificial Intelligence Retrospective Studies
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Reducing negative emotions in children using social robots: systematic review.

Archives of disease in childhood Mar 8, 2021
BACKGROUND: For many children, visiting the hospital can lead to a state of increased anxiety. Social robots are being explored as a possible tool to reduce anxiety and distress in children attending a clinical or hospital environment. Social robots ...
Expressed Emotion Hostility Psychological Distress Humans Female Infant, Newborn Observational Studies as Topic Randomized Controlled Trials as Topic Robotics Ambulatory Care Social Interaction Evaluation Studies as Topic Outcome Assessment, Health Care Adolescent Child, Preschool Child Male Infant Anxiety Disorders
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Observational study on wearable biosensors and machine learning-based remote monitoring of COVID-19 patients.

Scientific reports Feb 23, 2021
Patients infected with SARS-CoV-2 may deteriorate rapidly and therefore continuous monitoring is necessary. We conducted an observational study involving patients with mild COVID-19 to explore the potentials of wearable biosensors and machine learnin...
Wearable Electronic Devices Biosensing Techniques Observational Studies as Topic Adult Male Middle Aged COVID-19 Female Young Adult Humans Machine Learning
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Deep Learning Predicts Total Knee Replacement from Magnetic Resonance Images.

Scientific reports Apr 14, 2020
Knee Osteoarthritis (OA) is a common musculoskeletal disorder in the United States. When diagnosed at early stages, lifestyle interventions such as exercise and weight loss can slow OA progression, but at later stages, only an invasive option is avai...
United States Treatment Outcome Magnetic Resonance Imaging Middle Aged Case-Control Studies Deep Learning Datasets as Topic Osteoarthritis, Knee Observational Studies as Topic Knee Joint Arthroplasty, Replacement, Knee Humans Prospective Studies Female Aged Male
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Exploring healthcare professionals' understanding and experiences of artificial intelligence technology use in the delivery of healthcare: An integrative review.

Health informatics journal Sep 30, 2019
BACKGROUND: The integration of artificial intelligence (AI) into our digital healthcare system is seen as a significant strategy to contain Australia's rising healthcare costs, support clinical decision making, manage chronic disease burden and suppo...
Australia Delivery of Health Care Technology Observational Studies as Topic Humans Artificial Intelligence Health Personnel
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