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Extracting postmarketing adverse events from safety reports in the vaccine adverse event reporting system (VAERS) using deep learning.
Journal of the American Medical Informatics Association : JAMIA
Jul 14, 2021
OBJECTIVE: Automated analysis of vaccine postmarketing surveillance narrative reports is important to understand the progression of rare but severe vaccine adverse events (AEs). This study implemented and evaluated state-of-the-art deep learning algo...
Clinical Performance of a Gene-Based Machine Learning Classifier in Assessing Risk of Developing OUD in Subjects Taking Oral Opioids: A Prospective Observational Study.
Annals of clinical and laboratory science
Jul 1, 2021
OBJECTIVE: To reduce the incidence of Opioid Use Disorder (OUD), multiple guidelines recommend assessing the risk of OUD prior to prescribing oral opioids. Although subjective risk assessments are available to help classify subjects at risk for OUD, ...
Machine Learning Can Unlock Insights Into Mortality.
American journal of public health
Jul 1, 2021
Discriminating Heterogeneous Trajectories of Resilience and Depression After Major Life Stressors Using Polygenic Scores.
JAMA psychiatry
Jul 1, 2021
IMPORTANCE: Major life stressors, such as loss and trauma, increase the risk of depression. It is known that individuals show heterogeneous trajectories of depressive symptoms following major life stressors, including chronic depression, recovery, an...
Trauma outcome predictor: An artificial intelligence interactive smartphone tool to predict outcomes in trauma patients.
The journal of trauma and acute care surgery
Jul 1, 2021
BACKGROUND: Classic risk assessment tools often treat patients' risk factors as linear and additive. Clinical reality suggests that the presence of certain risk factors can alter the impact of other factors; in other words, risk modeling is not linea...
Joint Associations of Multiple Dietary Components With Cardiovascular Disease Risk: A Machine-Learning Approach.
American journal of epidemiology
Jul 1, 2021
The human diet consists of a complex mixture of components. To realistically assess dietary impacts on health, new statistical tools that can better address nonlinear, collinear, and interactive relationships are necessary. Using data from 1,928 heal...
Machine Learning: The Next Paradigm Shift in Medical Education.
Academic medicine : journal of the Association of American Medical Colleges
Jul 1, 2021
Machine learning (ML) algorithms are powerful prediction tools with immense potential in the clinical setting. There are a number of existing clinical tools that use ML, and many more are in development. Physicians are important stakeholders in the h...
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United States
Diagnostic Imaging
Physician-Patient Relations
Delivery of Health Care
Physicians
Clinical Decision-Making
Female
Education, Medical
Clinical Trials as Topic
Evidence-Based Medicine
History, 20th Century
Stakeholder Participation
Liability, Legal
Humans
COVID-19 Testing
Diabetic Retinopathy
United States Food and Drug Administration
Machine Learning
Curriculum
Algorithms
Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions.
Journal of the American Medical Informatics Association : JAMIA
Jun 12, 2021
The Food & Drug Administration (FDA) is considering the permanent exemption of premarket notification requirements for several Class I and II medical device products, including several artificial Intelligence (AI)-driven devices. The exemption is bas...
Artificial intelligence in breast cancer screening: primary care provider preferences.
Journal of the American Medical Informatics Association : JAMIA
Jun 12, 2021
BACKGROUND: Artificial intelligence (AI) is increasingly being proposed for use in medicine, including breast cancer screening (BCS). Little is known, however, about referring primary care providers' (PCPs') preferences for this technology.
Machine-learning model to predict the cause of death using a stacking ensemble method for observational data.
Journal of the American Medical Informatics Association : JAMIA
Jun 12, 2021
OBJECTIVE: Cause of death is used as an important outcome of clinical research; however, access to cause-of-death data is limited. This study aimed to develop and validate a machine-learning model that predicts the cause of death from the patient's l...
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