AIMC Topic: Image Interpretation, Computer-Assisted
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Artificial intelligence in medical imaging: switching from radiographic pathological data to clinically meaningful endpoints.
The Lancet. Digital health
Sep 1, 2020
Artificial intelligence (AI) is a disruptive technology that involves the use of computerised algorithms to dissect complicated data. Among the most promising clinical applications of AI is diagnostic imaging, and mounting attention is being directed...
Controversies in artificial intelligence.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: To review four recent controversial topics arising from deep learning applications in ophthalmology.
Fundamentals of artificial intelligence for ophthalmologists.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: As artificial intelligence continues to develop new applications in ophthalmic image recognition, we provide here an introduction for ophthalmologists and a primer on the mechanisms of deep learning systems.
[Artificial intelligence and smartphone program applications (Apps) : Relevance for dermatological practice].
Der Hautarzt; Zeitschrift fur Dermatologie, Venerologie, und verwandte Gebiete
Sep 1, 2020
ADVANTAGES OF ARTIFICIAL INTELLIGENCE (AI): With responsible, safe and successful use of artificial intelligence (AI), possible advantages in the field of dermato-oncology include the following: (1) medical work can focus on skin cancer patients, (2)...
Artificial intelligence for retinopathy of prematurity.
Current opinion in ophthalmology
Sep 1, 2020
PURPOSE OF REVIEW: In this article, we review the current state of artificial intelligence applications in retinopathy of prematurity (ROP) and provide insight on challenges as well as strategies for bringing these algorithms to the bedside.
A review on the use of artificial intelligence for medical imaging of the lungs of patients with coronavirus disease 2019.
Diagnostic and interventional radiology (Ankara, Turkey)
Sep 1, 2020
The results of research on the use of artificial intelligence (AI) for medical imaging of the lungs of patients with coronavirus disease 2019 (COVID-19) has been published in various forms. In this study, we reviewed the AI for diagnostic imaging of ...
An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study.
The Lancet. Digital health
Aug 1, 2020
BACKGROUND: There is high demand to develop computer-assisted diagnostic tools to evaluate prostate core needle biopsies (CNBs), but little clinical validation and a lack of clinical deployment of such tools. We report here on a blinded clinical vali...
A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT.
IEEE transactions on medical imaging
Aug 1, 2020
Accurate and rapid diagnosis of COVID-19 suspected cases plays a crucial role in timely quarantine and medical treatment. Developing a deep learning-based model for automatic COVID-19 diagnosis on chest CT is helpful to counter the outbreak of SARS-C...
Female
SARS-CoV-2
Aged
Aged, 80 and over
Young Adult
Adult
Male
Middle Aged
Betacoronavirus
Pandemics
Pneumonia, Viral
COVID-19
Supervised Machine Learning
Lung
Retrospective Studies
Humans
Coronavirus Infections
Adolescent
Tomography, X-Ray Computed
Image Interpretation, Computer-Assisted
Child
Thorax
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia.
IEEE transactions on medical imaging
Aug 1, 2020
The coronavirus disease (COVID-19) is rapidly spreading all over the world, and has infected more than 1,436,000 people in more than 200 countries and territories as of April 9, 2020. Detecting COVID-19 at early stage is essential to deliver proper h...
Automatic Machine Learning to Differentiate Pediatric Posterior Fossa Tumors on Routine MR Imaging.
AJNR. American journal of neuroradiology
Jul 1, 2020
BACKGROUND AND PURPOSE: Differentiating the types of pediatric posterior fossa tumors on routine imaging may help in preoperative evaluation and guide surgical resection planning. However, qualitative radiologic MR imaging review has limited performa...
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