AIMC Topic: Advisory Committees
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American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) Report on Artificial Intelligence.
Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
Dec 12, 2024
This report synthesizes the American Academy of Otolaryngology-Head and Neck Surgery (AAO-HNS) Task Force's guidance on the integration of artificial intelligence (AI) in otolaryngology-head and neck surgery (OHNS). A comprehensive literature review ...
The current state of digital cytology and artificial intelligence (AI): global survey results from the American Society of Cytopathology Digital Cytology Task Force.
Journal of the American Society of Cytopathology
Apr 16, 2024
INTRODUCTION: The integration of whole slide imaging (WSI) and artificial intelligence (AI) with digital cytology has been growing gradually. Therefore, there is a need to evaluate the current state of digital cytology. This study aimed to determine ...
Ethical Considerations for Artificial Intelligence in Medical Imaging: Data Collection, Development, and Evaluation.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Dec 1, 2023
The development of artificial intelligence (AI) within nuclear imaging involves several ethically fraught components at different stages of the machine learning pipeline, including during data collection, model training and validation, and clinical u...
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...
Big Data
Wearable Electronic Devices
Smartphone
Genomics
Electronic Health Records
Biomedical Research
Deep Learning
Information Dissemination
Advisory Committees
Biological Ontologies
Neuroimaging
Epilepsy
Confidentiality
Telemedicine
Societies, Medical
Humans
Common Data Elements
Brain
Research Support as Topic
Computer Security
Stakeholder Participation
Electrocorticography
Spatial Lifecourse Epidemiology Reporting Standards (ISLE-ReSt) statement.
Health & place
Dec 4, 2019
Spatial lifecourse epidemiology is an interdisciplinary field that utilizes advanced spatial, location-based, and artificial intelligence technologies to investigate the long-term effects of environmental, behavioural, psychosocial, and biological fa...
Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force.
Bipolar disorders
Sep 18, 2019
OBJECTIVES: The International Society for Bipolar Disorders Big Data Task Force assembled leading researchers in the field of bipolar disorder (BD), machine learning, and big data with extensive experience to evaluate the rationale of machine learnin...
Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.
RMD open
Jul 18, 2019
OBJECTIVE: To assess the current use of big data and artificial intelligence (AI) in the field of rheumatic and musculoskeletal diseases (RMDs).
The ACR Data Science Institute and AI Advisory Group: Harnessing the Power of Artificial Intelligence to Improve Patient Care.
Journal of the American College of Radiology : JACR
Feb 3, 2018
Integrating natural language processing expertise with patient safety event review committees to improve the analysis of medication events.
International journal of medical informatics
May 11, 2017
OBJECTIVES: Many healthcare providers have implemented patient safety event reporting systems to better understand and improve patient safety. Reviewing and analyzing these reports is often time consuming and resource intensive because of both the qu...
Automatic migraine classification via feature selection committee and machine learning techniques over imaging and questionnaire data.
BMC medical informatics and decision making
Apr 13, 2017
BACKGROUND: Feature selection methods are commonly used to identify subsets of relevant features to facilitate the construction of models for classification, yet little is known about how feature selection methods perform in diffusion tensor images (...
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