AIMC Topic: Biomedical Research

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Just data? Solidarity and justice in data-driven medicine.

Life sciences, society and policy Aug 25, 2020
This paper argues that data-driven medicine gives rise to a particular normative challenge. Against the backdrop of a distinction between the good and the right, harnessing personal health data towards the development and refinement of data-driven me...
Big Data Information Dissemination Artificial Intelligence Medicine Biomedical Research Humans
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The myth of generalisability in clinical research and machine learning in health care.

The Lancet. Digital health Aug 24, 2020
An emphasis on overly broad notions of generalisability as it pertains to applications of machine learning in health care can overlook situations in which machine learning might provide clinical utility. We believe that this narrow focus on generalis...
Biomedical Research Humans Machine Learning COVID-19 Delivery of Health Care SARS-CoV-2
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Clinical and Research Medical Applications of Artificial Intelligence.

Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association Aug 21, 2020
Artificial intelligence (AI), including machine learning (ML), has transformed numerous industries through newfound efficiencies and supportive decision-making. With the exponential growth of computing power and large datasets, AI has transitioned fr...
Sports Medicine Biomedical Research Patient Reported Outcome Measures Humans Artificial Intelligence Machine Learning Algorithms
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Review of Clinical Research Informatics.

Yearbook of medical informatics Aug 21, 2020
OBJECTIVES: Clinical Research Informatics (CRI) declares its scope in its name, but its content, both in terms of the clinical research it supports-and sometimes initiates-and the methods it has developed over time, reach much further than the name s...
Humans Artificial Intelligence Privacy Data Accuracy Medical Informatics Electronic Health Records Biomedical Research Big Data Computer Security
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Big data in epilepsy: Clinical and research considerations. Report from the Epilepsy Big Data Task Force of the International League Against Epilepsy.

Epilepsia Aug 7, 2020
Epilepsy is a heterogeneous condition with disparate etiologies and phenotypic and genotypic characteristics. Clinical and research aspects are accordingly varied, ranging from epidemiological to molecular, spanning clinical trials and outcomes, gene...
Advisory Committees Biological Ontologies Neuroimaging Deep Learning Brain Confidentiality Societies, Medical Big Data Electronic Health Records Common Data Elements Smartphone Telemedicine Wearable Electronic Devices Humans Biomedical Research Research Support as Topic Genomics Information Dissemination Computer Security Epilepsy Stakeholder Participation Electrocorticography
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Artificial neural networks in surgical research.

American journal of surgery Jun 30, 2020
Humans Surgical Procedures, Operative Neural Networks, Computer Biomedical Research
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COVID-19 and the Futures of Machine Learning.

Omics : a journal of integrative biology Jun 8, 2020
Pandemics Pneumonia, Viral COVID-19 SARS-CoV-2 Biomedical Research Information Dissemination Humans Access to Information Public Health International Cooperation Machine Learning Coronavirus Infections Big Data Betacoronavirus
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Innovations in research and clinical care using patient-generated health data.

CA: a cancer journal for clinicians Apr 20, 2020
Patient-generated health data (PGHD), or health-related data gathered from patients to help address a health concern, are used increasingly in oncology to make regulatory decisions and evaluate quality of care. PGHD include self-reported health and t...
United States Morbidity Medical Oncology Biomedical Research Humans Neoplasms Artificial Intelligence Delivery of Health Care
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Flaws (and quality) in research today: can artificial intelligence intervene?

Systems biology in reproductive medicine Apr 8, 2020
The existing flaws in both conducting and reporting of research have been outlined and criticized in the past. Weak research design, poor methodology, lack of fresh ideas and poor reporting are the main points to blame. Issues have been continually r...
Models, Theoretical Humans Quality Control Artificial Intelligence Biomedical Research
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Interpretable Artificial Intelligence: Why and When.

AJR. American journal of roentgenology Mar 4, 2020
The purpose of this article is to discuss the problem of interpretability of artificial intelligence (AI) and highlight the need for continuing scientific discovery using AI algorithms to deal with medical big data. A plethora of AI algorithms are ...
Deep Learning Big Data Machine Learning Radiology Humans Clinical Decision-Making Biomedical Research Artificial Intelligence
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