AIMC Topic: Practice Patterns, Physicians'
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Can We Accurately Identify Peritoneal Metastases Based on Their Appearance? An Assessment of the Current Practice of Intraoperative Gastrointestinal Cancer Staging.
Annals of surgical oncology
Mar 25, 2019
BACKGROUND: Peritoneal lesions are common findings during operative abdominal cancer staging. The decision to perform biopsy is made subjectively by the surgeon, a practice the authors hypothesized to be imprecise. This study aimed to describe optica...
Machine learning for prediction of sustained opioid prescription after anterior cervical discectomy and fusion.
The spine journal : official journal of the North American Spine Society
Jan 30, 2019
BACKGROUND CONTEXT: The severity of the opioid epidemic has increased scrutiny of opioid prescribing practices. Spine surgery is a high-risk episode for sustained postoperative opioid prescription.
Using preference learning for detecting inconsistencies in clinical practice guidelines: Methods and application to antibiotherapy.
Artificial intelligence in medicine
Jul 9, 2018
Clinical practice guidelines provide evidence-based recommendations. However, many problems are reported, such as contradictions and inconsistencies. For example, guidelines recommend sulfamethoxazole/trimethoprim in child sinusitis, but they also st...
Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Increasing learning ability from massive medical data and building learning methods robust to data quality issues are key factors toward building data-driven clinical decision support systems for medicine prescription decision support. Here, we attem...
Deep Learning Solutions for Classifying Patients on Opioid Use.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Opioid analgesics, as commonly prescribed medications used for relieving pain in patients, are especially prevalent in US these years. However, an increasing amount of opioid misuse and abuse have caused lots of consequences. Researchers and clinicia...
Reimagining Clinical Documentation With Artificial Intelligence.
Mayo Clinic proceedings
Apr 7, 2018
A YinYang bipolar fuzzy cognitive TOPSIS method to bipolar disorder diagnosis.
Computer methods and programs in biomedicine
Feb 6, 2018
BACKGROUND AND OBJECTIVE: Bipolar disorder is often mis-diagnosed as unipolar depression in the clinical diagnosis. The main reason is that, different from other diseases, bipolarity is the norm rather than exception in bipolar disorder diagnosis. Yi...
Finding discriminative and interpretable patterns in sequences of surgical activities.
Artificial intelligence in medicine
Sep 22, 2017
OBJECTIVE: Surgery is one of the riskiest and most important medical acts that is performed today. Understanding the ways in which surgeries are similar or different from each other is of major interest to understand and analyze surgical behaviors. T...
Artificial Intelligence: Threat or Boon to Radiologists?
Journal of the American College of Radiology : JACR
Aug 19, 2017
The development and integration of machine learning/artificial intelligence into routine clinical practice will significantly alter the current practice of radiology. Changes in reimbursement and practice patterns will also continue to affect radiolo...
Automated problem list generation and physicians perspective from a pilot study.
International journal of medical informatics
Jun 4, 2017
OBJECTIVE: An accurate, comprehensive and up-to-date problem list can help clinicians provide patient-centered care. Unfortunately, problem lists created and maintained in electronic health records by providers tend to be inaccurate, duplicative and ...
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