AIMC Topic: Quality Improvement
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Improving Workflow Efficiency for Mammography Using Machine Learning.
Journal of the American College of Radiology : JACR
May 30, 2019
OBJECTIVE: The aim of this study was to determine whether machine learning could reduce the number of mammograms the radiologist must read by using a machine-learning classifier to correctly identify normal mammograms and to select the uncertain and ...
Role of Artificial Intelligence within the Telehealth Domain.
Yearbook of medical informatics
Apr 25, 2019
OBJECTIVES: This paper provides a discussion about the potential scope of applicability of Artificial Intelligence methods within the telehealth domain. These methods are focussed on clinical needs and provide some insight to current directions, base...
Accuracy of American College of Surgeons National Surgical Quality Improvement Program Universal Surgical Risk Calculator in Predicting Complications Following Robot-Assisted Radical Cystectomy at a National Comprehensive Cancer Center.
Journal of endourology
Apr 22, 2019
There is paucity of literature about the validation of the American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) surgical risk calculator for prediction of outcomes after robot-assisted radical cystectomy (RARC). We ...
Predicting discharge placement after elective surgery for lumbar spinal stenosis using machine learning methods.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Apr 2, 2019
PURPOSE: An excessive amount of total hospitalization is caused by delays due to patients waiting to be placed in a rehabilitation facility or skilled nursing facility (RF/SNF). An accurate preoperative prediction of who would need a RF/SNF place aft...
Algorithms
Female
Aged
Male
Humans
Neural Networks, Computer
Machine Learning
Lumbar Vertebrae
Patient Discharge
Spinal Stenosis
Netherlands
Middle Aged
Predictive Value of Tests
Postoperative Care
Elective Surgical Procedures
Skilled Nursing Facilities
Quality Improvement
Patient Transfer
Rehabilitation Centers
Dosimetric study on learning-based cone-beam CT correction in adaptive radiation therapy.
Medical dosimetry : official journal of the American Association of Medical Dosimetrists
Apr 1, 2019
INTRODUCTION: Cone-beam CT (CBCT) image quality is important for its quantitative analysis in adaptive radiation therapy. However, due to severe artifacts, the CBCTs are primarily used for verifying patient setup only so far. We have developed a lear...
Machine learning concepts, concerns and opportunities for a pediatric radiologist.
Pediatric radiology
Mar 29, 2019
Machine learning, a subfield of artificial intelligence, is a rapidly evolving technology that offers great potential for expanding the quality and value of pediatric radiology. We describe specific types of learning, including supervised, unsupervis...
Artificial intelligence and colonoscopy: Current status and future perspectives.
Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society
Feb 27, 2019
BACKGROUND AND AIM: Application of artificial intelligence in medicine is now attracting substantial attention. In the field of gastrointestinal endoscopy, computer-aided diagnosis (CAD) for colonoscopy is the most investigated area, although it is s...
Using Machine Learning to Identify Change in Surgical Decision Making in Current Use of Damage Control Laparotomy.
Journal of the American College of Surgeons
Jan 9, 2019
BACKGROUND: In an earlier study, we reported the successful reduction in the use of damage control laparotomy (DCL); however, no change in the relative frequencies of specific indications was observed. In this study, we aimed to use machine learning ...
Machine Learning-Based Prediction of Clinical Outcomes for Children During Emergency Department Triage.
JAMA network open
Jan 4, 2019
IMPORTANCE: While machine learning approaches may enhance prediction ability, little is known about their utility in emergency department (ED) triage.
Novel knowledge-based system with relation detection and textual evidence for question answering research.
PloS one
Oct 3, 2018
With the development of large-scale knowledge bases (KBs), knowledge-based question answering (KBQA) has become an important research topic in recent years. The key task in KBQA is relation detection, which is the process of finding a compatible answ...
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