Pratik Shah: How AI is making it easier to diagnose disease
派屈克 · 沙: 人工智慧如何讓診斷疾病變得容易
Dr. Pratik Shah creates novel intersections between engineering, medical imaging, machine learning and medicine. Full bio
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are performing incredible tasks
using human-like intelligence.
is often referred to as AI
on our lives in the future.
we still face massive challenges
several life-threatening illnesses,
due to liver and oral cancer.
and diagnoses of these diseases.
and can artificial intelligence help?
are suspected of these diseases,
medical imaging technologies
CTs, MRIs, to be performed.
those images and talks to the patient.
a very resource-intensive process,
expensive medical imaging technologies,
for the developing world.
industrialized nations, as well.
using artificial intelligence?
artificial intelligence architectures
of these very expensive medical images
to an expert physician,
those images for me.
or a deep learning network
and expert medical imaging technologies.
problems facing us today?
what my group at MIT Media Lab does.
of unorthodox AI architectures
challenges facing us today
with you today, we had two goals.
the number of images
artificial intelligence algorithms.
of expensive medical imaging technologies
with tens and thousands
like traditional AI,
figured out a very clever way
of information packets.
included colors, pixels, geometry
on the medical image.
into billions of training data points,
needed for training.
imaging technologies to screen patients,
white light photograph,
or a mobile phone, for the patient.
billions of information packets?
the medical image onto this image,
that we call a composite image.
we only required 50 --
our algorithms to high efficiencies.
very expensive medical images,
in an unorthodox way,
but standard photographs,
and mobile phones,
in the future and even right now,
photographs from the patient,
medical imaging technologies.
to enter an era
impact on our future.
about traditional AI,
problems facing us today,
ABOUT THE SPEAKERPratik Shah - Medical technologist
Dr. Pratik Shah creates novel intersections between engineering, medical imaging, machine learning and medicine.
Why you should listen
Dr. Shah's research program at the MIT Media Lab develops scalable and low-cost diagnostics and therapeutics. His ongoing research areas at MIT include: 1) artificial intelligence and machine learning methods for detection of cancer biomarkers using standard photographs vs. expensive medical images; 2) unorthodox artificial intelligence and machine learning algorithms to design optimal and faster clinical trials and to reduce adverse effects on patients; and 3) low-cost and open source imaging devices, paper diagnostics, algorithms and mobile phones to improve public health and generate real-world data.
Clinical studies with Pratik's medical technologies have revealed "missing sick" patients, who otherwise remain undiagnosed in conventional healthcare settings. Dr. Shah's graduate and postdoctoral research contributed to the discovery of a vaccine component to prevent pneumococcal (Streptococcus pneumoniae) diseases; the identification of new pathways, technologies and metabolites as antimicrobials to target gastrointestinal infections; and a nonprofit to deploy a low-cost water quality test for the developing world.
Past recognition for Dr. Shah includes the American Society for Microbiology's Raymond W. Sarber national award, the Harvard Medical School and Massachusetts General Hospitals ECOR Fund for Medical Discovery postdoctoral fellowship, the AAAS-Lemelson Invention Ambassador Award and a TED Fellowship. Pratik has been an invited discussion leader at Gordon Research Seminars; a speaker at Cold Spring Harbor Laboratories, Gordon Research Conferences and IEEE bioengineering conferences; and a peer reviewer for leading scientific publications and funding agencies. Pratik has a BS, MS, and a PhD in Microbiology and completed fellowship training at The Broad Institute of MIT and Harvard, Massachusetts General Hospital and Harvard Medical School.
Pratik Shah | Speaker | TED.com