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Demystifying medicine 2019. Ronald Summers, Baris Turkbey.

Title: Demystifying medicine 2019. Machine learning and artificial intelligence in radiology / Ronald Summers, Baris Turkbey.
Variant Title: Machine learning and artificial intelligence in radiology
Author(s)/Relationship(s): Summers, Ronald Marc, speaker.
Turkbey, Baris, speaker.
Publisher: [Bethesda, Md.] : [National Institutes of Health], [2019]
Related Names: National Institutes of Health (U.S.), issuing body.
Description: 1 online resource (1 streaming video file (1 hr., 26 min.)) : color, sound
Content Type: two-dimensional moving image
Media Type: computer
Carrier Type: online resource
Language: eng
Electronic Links: https://videocast.nih.gov/launch.asp?27378
MeSH Subjects: Diagnostic Imaging
Machine Learning
Datasets as Topic
Deep Learning
Diagnosis, Computer-Assisted
Prostatic Neoplasms --diagnostic imaging
Lecture
Webcast
Summary: (CIT): Demystifying Medicine Lecture Series, Robots don’t write these Demystifying Medicine messages, but they may in the near future with fewer grammatical errors. Artificial intelligence (AI), machine learning (ML), and deep learning (DL) are poised to master mundane and rote tasks and perform them with efficiencies far greater than what can be done by humans. AI refers to computerized tasks that have elements of human smartness, or decision-making, as opposed to raw computing and number-crunching; ML is a subset of AI in which the computer system learns new tasks without additional programming. DL is ML on computer steroids, utilizing powerful computers and massive datasets to deduce features in the data and to establish and then refine computational rules to identify objects. We bring you two speakers who are using AI, ML, and DL in a clinical setting to save lives and enhance patient safety and care. Ron Summers is chief of the Clinical Center’s Clinical Image Processing Service and directs the Imaging Biomarkers and Computer-Aided Diagnosis Laboratory. Among many accomplishments, his group has applied DI techniques to create a dataset of 120,000 anonymized chest X-rays that researchers worldwide now can use to identify disease and abnormalities in their own patients" X-rays. Co-presenter Baris Turkbey, a physician in the NCI Molecular Imaging Program is applying similar technology to the field of prostate cancer, in which imaging has been a challenging task because of the high variability of the prostate anatomic structure. The robots are rapidly outperforming the human experts in identifying abnormalities reviewed by the imaging!.
Notes: Closed-captioned.
NLM Unique ID: 101744882
Other ID Numbers: (DNLM)CIT:27378
(OCoLC)1130691252

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