AIMC Topic: Documentation
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Improved medical image modality classification using a combination of visual and textual features.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Jun 19, 2014
In this paper, we present the approach that we applied to the medical modality classification tasks at the ImageCLEF evaluation forum. More specifically, we used the modality classification databases from the ImageCLEF competitions in 2011, 2012 and ...
Multimodal medical information retrieval with unsupervised rank fusion.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
May 23, 2014
Modern medical information retrieval systems are paramount to manage the insurmountable quantities of clinical data. These systems empower health care experts in the diagnosis of patients and play an important role in the clinical decision process. H...
Artificial Intelligence
Algorithms
User-Computer Interface
Multimodal Imaging
Vocabulary, Controlled
Natural Language Processing
Subtraction Technique
PubMed
Pattern Recognition, Automated
Documentation
Terminology as Topic
Information Storage and Retrieval
Radiology Information Systems
Medical Subject Headings
Comparing fusion techniques for the ImageCLEF 2013 medical case retrieval task.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Apr 24, 2014
Retrieval systems can supply similar cases with a proven diagnosis to a new example case under observation to help clinicians during their work. The ImageCLEFmed evaluation campaign proposes a framework where research groups can compare case-based re...
Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013.
Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Mar 27, 2014
Medical image retrieval and classification have been extremely active research topics over the past 15 years. Within the ImageCLEF benchmark in medical image retrieval and classification, a standard test bed was created that allows researchers to com...
Artificial intelligence medical scribes in allied health: a solution in search of evidence?
Australian health review : a publication of the Australian Hospital Association
Jun 1, 2025
Artificial intelligence (AI) medical scribes (AI scribes), which ambiently record and transcribe patient-clinician interactions into structured documentation, aim to ameliorate documentation burdens, but their suitability for allied health remains un...
Lexical associations can characterize clinical documentation trends related to palliative care and metastatic cancer.
Scientific reports
May 18, 2025
Palliative care is known to improve quality of life in advanced cancer. Natural language processing offers insights to how documentation around palliative care in relation to metastatic cancer has changed. We analyzed inpatient clinical notes using u...
Assessment and Integration of Large Language Models for Automated Electronic Health Record Documentation in Emergency Medical Services.
Journal of medical systems
May 17, 2025
Automating Electronic Health Records (EHR) documentation can significantly reduce the burden on care providers, particularly in emergency care settings where rapid and accurate record-keeping is crucial. A critical aspect of this automation involves ...
Assessing Healthcare Stakeholder Understanding of Machine Learning Documentation.
Studies in health technology and informatics
May 15, 2025
Artificial Intelligence (AI) has significantly advanced clinical decision support systems in healthcare, particularly using Machine Learning (ML) models. However, the technical nature of current ML model documentation often leads to lack of comprehen...
Is AI A-OK? Medicolegal considerations for general practitioners using AI scribes.
Australian journal of general practice
May 1, 2025
BACKGROUND: Good medical records are an essential part of healthcare. However, the burden of clinical documentation can reduce clinician productivity and add to stress and anxiety. Artificial intelligence (AI) scribes offer a solution by using large ...
Evaluation of an Ambient Artificial Intelligence Documentation Platform for Clinicians.
JAMA network open
May 1, 2025
IMPORTANCE: The increase of electronic health record (EHR) work negatively impacts clinician well-being. One potential solution is incorporating an ambient artificial intelligence (AI) documentation platform.
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