AIMC Topic: Diagnostic Imaging

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Commentary: Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning.

Neurosurgery Aug 16, 2021
Machine Learning Diagnostic Imaging Neurosurgical Procedures Humans
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Real-world validation of artificial intelligence algorithms for ophthalmic imaging.

The Lancet. Digital health Aug 1, 2021
Algorithms Diagnostic Imaging Face Humans Artificial Intelligence Eye
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Multicolor image classification using the multimodal information bottleneck network (MMIB-Net) for detecting diabetic retinopathy.

Optics express Jul 5, 2021
Multicolor (MC) imaging is an imaging modality that records confocal scanning laser ophthalmoscope (cSLO) fundus images, which can be used for the diabetic retinopathy (DR) detection. By utilizing this imaging technique, multiple modal images can be ...
Fundus Oculi Retina Retrospective Studies Deep Learning Diagnostic Imaging Humans Diabetic Retinopathy
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Artificial Intelligence in Diagnostic Imaging and Radiation Therapy.

Radiologic technology Jul 1, 2021
Artificial intelligence (AI) is a rapidly growing profession that shows continued promise for diagnostic imaging in various disciplines, including dermatology and pathology. The benefits of AI, however, extend beyond the imaging department as radiati...
Artificial Intelligence Humans Diagnostic Imaging
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Artificial intelligence in functional urology: how it may shape the future.

Current opinion in urology Jul 1, 2021
PURPOSE OF REVIEW: The aim of the present manuscript is to provide an overview on the current state of artificial intelligence (AI) tools in either decision making, diagnosis, treatment options, or outcome prediction in functional urology.
Diagnostic Imaging Machine Learning Urology Forecasting Humans Artificial Intelligence
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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...
Physicians Clinical Decision-Making Female Algorithms Delivery of Health Care United States Diagnostic Imaging Physician-Patient Relations Aged Male Diabetic Retinopathy Machine Learning Humans Education, Medical Clinical Trials as Topic History, 20th Century Stakeholder Participation Evidence-Based Medicine United States Food and Drug Administration Curriculum Liability, Legal COVID-19 Testing
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Commentary: Predicting Spinal Surgery Candidacy From Imaging Data Using Machine Learning.

Neurosurgery Jun 15, 2021
Humans Diagnostic Imaging Neurosurgical Procedures Machine Learning
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Requirements for implementation of artificial intelligence in the practice of gastrointestinal pathology.

World journal of gastroenterology Jun 7, 2021
Tremendous advances in artificial intelligence (AI) in medical image analysis have been achieved in recent years. The integration of AI is expected to cause a revolution in various areas of medicine, including gastrointestinal (GI) pathology. Current...
Diagnostic Imaging Radiology Algorithms Prognosis Artificial Intelligence
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Synthetic data in machine learning for medicine and healthcare.

Nature biomedical engineering Jun 1, 2021
The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy.
Information Theory Humans Kidney Neoplasms Machine Learning Carcinoma, Renal Cell Datasets as Topic Diagnostic Imaging Synthetic Biology Quality Control Image Interpretation, Computer-Assisted Delivery of Health Care Diagnosis, Computer-Assisted
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[Concepts of medical imaging in the work up and follow-up of cancer : oncological imaging at a glance].

Revue medicale de Liege May 1, 2021
Oncological imaging is a subspecialty of medical imaging and focuses on the workup and the follow-up of cancer. Oncological imaging takes into account all the specificities of cancer diseases, which is a constantly evolving field, especially in the e...
Follow-Up Studies Neoplasms Diagnostic Imaging Humans Quality of Life Artificial Intelligence
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