AIMC Topic: Referral and Consultation
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A randomized controlled trial of suicide prevention training for primary care providers: a study protocol.
BMC medical education
Feb 14, 2019
BACKGROUND: Suicide is a national public health crisis and a critical patient safety issue. It is the 10th leading cause of death overall and the second leading cause of death among adolescents and young adults (15-34 years old). Research shows 80% o...
Potential roles of artificial intelligence learning and faecal immunochemical testing for prioritisation of colonoscopy in anaemia.
British journal of haematology
Feb 3, 2019
Iron deficiency anaemia (IDA) is the most common cause of anaemia and a frequent indication for colonoscopy, although the prevalence of colorectal cancer (CRC) in IDA is low. Measurement of faecal haemoglobin by immunochemical techniques (FIT) is use...
Toward Automatic Risk Assessment to Support Suicide Prevention.
Crisis
Nov 26, 2018
Suicide has been considered an important public health issue for years and is one of the main causes of death worldwide. Despite prevention strategies being applied, the rate of suicide has not changed substantially over the past decades. Suicide ri...
Identifying in Palliative Care Consultations: A Tandem Machine-Learning and Human Coding Method.
Journal of palliative medicine
Oct 17, 2018
Systematic measurement of conversational features in the natural clinical setting is essential to better understand, disseminate, and incentivize high quality serious illness communication. Advances in machine-learning (ML) classification of human s...
Clinically applicable deep learning for diagnosis and referral in retinal disease.
Nature medicine
Aug 13, 2018
The volume and complexity of diagnostic imaging is increasing at a pace faster than the availability of human expertise to interpret it. Artificial intelligence has shown great promise in classifying two-dimensional photographs of some common disease...
Text Mining and Automation for Processing of Patient Referrals.
Applied clinical informatics
Mar 28, 2018
BACKGROUND: Various tasks within health care processes are repetitive and time-consuming, requiring personnel who could be better utilized elsewhere. The task of assigning clinical urgency categories to internal patient referrals is one such case of ...
Evaluation of three machine learning models for self-referral decision support on low back pain in primary care.
International journal of medical informatics
Nov 23, 2017
BACKGROUND: Most people experience low back pain (LBP) at least once in their life and for some patients this evolves into a chronic condition. One way to prevent acute LBP from transiting into chronic LBP, is to ensure that patients receive the righ...
Early Colorectal Cancer Detected by Machine Learning Model Using Gender, Age, and Complete Blood Count Data.
Digestive diseases and sciences
Aug 23, 2017
BACKGROUND: Machine learning tools identify patients with blood counts indicating greater likelihood of colorectal cancer and warranting colonoscopy referral.
Machine Learning
Algorithms
Female
Reproducibility of Results
Risk Factors
Aged
Aged, 80 and over
Adult
Colorectal Neoplasms
Humans
ROC Curve
Registries
Age Factors
Early Detection of Cancer
Data Mining
Blood Cell Count
Predictive Value of Tests
Sex Factors
Area Under Curve
Odds Ratio
Referral and Consultation
Male
Middle Aged
Colonoscopy
Diagnosis, Computer-Assisted
Introduction of robot-assisted radical hysterectomy for early stage cervical cancer: impact on complications, costs and oncologic outcome.
Acta obstetricia et gynecologica Scandinavica
Mar 6, 2017
INTRODUCTION: The objective was to assess the impact of robot-assisted radical hysterectomy (RRH) on surgical and oncologic outcome and costs compared with open radical hysterectomy (ORH) at a tertiary referral center in Sweden.
Performance analysis of a machine learning flagging system used to identify a group of individuals at a high risk for colorectal cancer.
PloS one
Feb 9, 2017
Individuals with colorectal cancer (CRC) have a tendency to intestinal bleeding which may result in mild to severe iron deficiency anemia, but for many colon cancer patients hematological abnormalities are subtle. The fecal occult blood test (FOBT) i...
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