AIMC Topic: Patient Selection
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Artificial intelligence to predict needs for urgent revascularization from 12-leads electrocardiography in emergency patients.
PloS one
Jan 9, 2019
BACKGROUND: Patient with acute coronary syndrome benefits from early revascularization. However, methods for the selection of patients who require urgent revascularization from a variety of patients visiting the emergency room with chest symptoms is ...
Neural Networks, Computer
Prognosis
Sensitivity and Specificity
Diagnosis, Computer-Assisted
Time Factors
Humans
Chest Pain
Acute Coronary Syndrome
Datasets as Topic
Myocardial Revascularization
Decision Making, Computer-Assisted
Electrocardiography
Diagnosis, Differential
Predictive Value of Tests
Emergency Service, Hospital
Patient Selection
Improving palliative care with deep learning.
BMC medical informatics and decision making
Dec 12, 2018
BACKGROUND: Access to palliative care is a key quality metric which most healthcare organizations strive to improve. The primary challenges to increasing palliative care access are a combination of physicians over-estimating patient prognoses, and a ...
The Role of Artificial Intelligence in Interventional Oncology: A Primer.
Journal of vascular and interventional radiology : JVIR
Dec 7, 2018
Defining Massive Transfusion in Civilian Pediatric Trauma With Traumatic Brain Injury.
The Journal of surgical research
Dec 4, 2018
The purpose of this study was to identify an optimal definition of massive transfusion in civilian pediatric trauma with severe traumatic brain injury (TBI) METHODS: Severely injured children (age ≤18 y) with severe TBI in the Trauma Quality Improvem...
Applying Artificial Intelligence to Address the Knowledge Gaps in Cancer Care.
The oncologist
Nov 16, 2018
BACKGROUND: Rapid advances in science challenge the timely adoption of evidence-based care in community settings. To bridge the gap between what is possible and what is practiced, we researched approaches to developing an artificial intelligence (AI)...
A predictive model for high/low risk group according to oncotype DX recurrence score using machine learning.
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Oct 16, 2018
BACKGROUND: Oncotype DX(ODX) is a 21-gene breast cancer recurrence score(RS) assay that aids in decision-making for chemotherapy in early-stage hormone receptor-positive(HR+)breast cancer. We developed a prediction tool using machine learning for hig...
Using artificial intelligence to predict prolonged mechanical ventilation and tracheostomy placement.
The Journal of surgical research
Apr 11, 2018
BACKGROUND: Early identification of critically ill patients who will require prolonged mechanical ventilation (PMV) has proven to be difficult. The purpose of this study was to use machine learning to identify patients at risk for PMV and tracheostom...
Randomized controlled trial of Amigo® robotically controlled versus manually controlled ablation of the cavo-tricuspid isthmus using a contact force ablation catheter.
Journal of interventional cardiac electrophysiology : an international journal of arrhythmias and pacing
Feb 12, 2018
BACKGROUND: Radiofrequency catheter ablation (RFCA) of the cavo-tricuspid isthmus (CTI) is a common treatment for atrial flutter (AFL). However, achieving bi-directional CTI conduction block may be difficult, partly due to catheter instability.
Prospective Studies
Female
Aged
Survival Rate
Male
Statistics, Nonparametric
Middle Aged
Risk Assessment
Tricuspid Valve
Severity of Illness Index
Cardiac Catheters
Treatment Outcome
Patient Selection
Humans
Atrial Flutter
Heart Conduction System
Follow-Up Studies
Reference Values
Robotics
Catheter Ablation
Equipment Design
Recurrence
Surgery, Computer-Assisted
Risk Modeling to Optimize Patient Selection for Management of the Descending Thoracic Aortic Aneurysm.
The Annals of thoracic surgery
Dec 21, 2017
BACKGROUND: A single-institutional study comparing early and long-term outcomes of thoracic endovascular aortic repair (TEVAR) and open surgical repair (OSR) was performed to determine the appropriate treatment option for descending thoracic aortic a...
Artificial Intelligence in Medical Practice: The Question to the Answer?
The American journal of medicine
Nov 7, 2017
Computer science advances and ultra-fast computing speeds find artificial intelligence (AI) broadly benefitting modern society-forecasting weather, recognizing faces, detecting fraud, and deciphering genomics. AI's future role in medical practice rem...
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