artificial intelligence or AI is taking
the World by storm and its impact will
be felt in all corners of society
including medicine here are four ways AI
is transforming the medical field Dodger
Jubal Med schoolinsiders.com the first
way AI is changing medicine is by
assisting with diagnosing and treating
patients misdiagnosing a disease happens
relatively infrequently but it can occur
due to factors such as physician fatigue
errors in diagnostic modalities or
limited resources in underprivileged
areas while the idea of AI taking over
disease diagnosis may sound alarming we
should view it as a supportive tool for
Physicians for example the convolutional
neural network or CNN is a diagnostic
modality that can analyze thousands of
images from public data sets and patient
medical records to identify patterns
enabling them to quickly and accurately
diagnose diseases researchers recently
used cnns to diagnose Kawasaki disease
or KD an inflammatory disease of the
blood vessels in children that can prove
fatal if left untreated a diagnostic
hurdle with KD is that symptoms are
usually vague and can overlap with other
childhood illnesses to reduce the rate
of misdiagnosis researchers compiled
images from KD patients from all over
the world building a CNN that can
identify its common signs the CNN proved
both sensitive and specific for
diagnosing Kawasaki disease making
diagnosis possible by merely taking a
photo with a smartphone of course
clinical judgment currently remains
Irreplaceable and Physicians should
still rely on a thorough history
physical exam and the relevant Labs or
Imaging these cnns can help guide
physicians in the right direction
especially in resource restricted
locales where it can be expensive for
patients to do more thorough testing
preliminary efforts have also
demonstrated AI can Aid clinicians in
diagnosing colorectal cancer lung cancer
liver cirrhosis and many more diseases
in one study board-certified
Pathologists diagnosed colorectal cancer
with 96.9 accuracy and AI slightly
outperformed them reaching an accurate
diagnosis 98 of the time however doctors
shouldn't forget about the limitations
of AI in diagnosing disease biases can
exist in any of the data sets which can
influence the way AI interprets the
diagnosis for example if a data set is
mostly made up of older patients AI
might not be able to accurately
interpret findings for a younger age
group after diagnosis AI can also Aid
physicians in treatment particularly in
the era of personalized medicine
personalized medicine is a form of
medicine that uses information about a
person's genetics to prevent diagnose or
treat disease one specific example of
this is rheumatoid arthritis and
autoimmune disease where the body
attacks itself especially in joints like
the wrist and finger joints since
rheumatoid arthritis is such a complex
and chronic disease there are a variety
of medications used to treat patients
and treatment often depends on what each
patient best responds to researchers at
Mayo Clinic use genetic data and
patients clinical characteristics to
develop a machine learning algorithm to
predict patient response to Methotrexate
one of the most important arthritis
drugs instead of having both doctors and
patients wait months to determine the
efficacy of a certain drug these models
can direct both doctors and patients
toward more effective treatments
immediately saving the patient both time
and money similarly researchers at the
Georgia Institute of Technology and
ovarian cancer institute utilized
machine learning algorithms to determine
treatment Effectiveness with 90 accuracy
for certain chemotherapies in ovarian
cancer patients utilizing AI to predict
a patient's response to chemotherapy can
save valuable time and spare patients
from the destructive physical side
effects emotional burden and costs
associated with weeks of treatment that
may prove ineffective Beyond diagnosis
and treatment AI has powerful potential
in predicting the occurrence and
progression of chronic diseases like
hypertension diabetes and kidney disease
which can help patients live longer
healthier lives let's take a closer look
at diabetes using various machine
learning models researchers are
developing predictive models to estimate
a patient's current glucose level based
on multiple factors such as their
previous glucose levels body mass index
external stress and even hours of sleep
this can help patients anticipate when
their blood sugar levels are critically
high or low enabling them to better
prepare for emergencies researchers have
also used AI to develop models that
predict the likelihood of developing
diabetes based on various risk factors
early diagnosis and treatment of
diabetes can prevent complications like
diabetic kidney disease and blindness
which are emotionally distressing and
costly for both patients and the Health
Care system in addition to Patient Care
AI is also furthering Medicine by
transforming the way medical research is
conducted particularly in clinical
trials clinical trials study different
interventions in patients usually in the
form of new vaccines or medications to
determine which treatment is more
effective in clinical practice one of
the first steps is identifying eligible
patients which is both time and resource
consuming since researchers must design
and print brochures and manually screen
clinics for LG patients with access to
medical records AI can quickly identify
which patients fit the right criteria to
streamline the process in addition AI
has already proven effective in the
development of new treatments the first
step in certain clinical research is
discovering possible drugs however
despite extensive lab testing the
discovery process can result in a waste
of valuable time and resources many
drugs that are effective in a lab fail
in human trials Verge genomics was one
of the first companies that discovered a
potential drug for a myotrophic lateral
sclerosis also known as ALS or Lou
Gehrig's Disease by using AI instead of
animal or cell testing instead of cell
or animal data they used AI to analyze
human data points to provide researchers
with more accurate representations of
effective treatments in humans this
avoided the risk of drug failure when
translating animal studies to human
trials if you've experimented with chat
GPT you've experienced ai's writing
capabilities first hand while these AI
writing tools are far from perfect they
can significantly reduce the time needed
to prepare and revise manuscripts chat
GPT has been used in scientific research
and has even been credited as a
co-author on multiple papers however
it's not without its limitations
including the hard to ignore fact that
it can reference incorrect data and
create fake citations other software
such as consensus can be used to guide
your initial literature review and
provide summaries for papers that answer
your research question don't expect
these tools to take over your academic
writing just yet however they can catch
grammatical errors brainstorm ideas and
collect and synthesize data we dug into
the possibilities and drawbacks of using
AI writing tools in another video on the
future of medical school applications if
you think you can exclusively rely on
chat gbt for your medical school or
residency applications think again the
Third Way AI is improving medicine is by
streamlining administrative tasks in
healthcare for example botmd is a
company with an AI service that assists
patients with clinical issues like
finding Physicians on call Scheduling
appointments or answering prescription
related questions such as the
availability of certain medications or
their Alternatives allowing AI to take
over these tasks can free administrative
staff to focus on other obligations AI
can also simplify medical scribing since
Physicians don't have to take their own
notes or employ medical scribes as
opposed to human scribes who are subject
to human error AI Works instantly and
immediately understands medical
terminology AI technology can
pre-authorize insurance and optimize
billing for Physicians since billing is
reliant on accurate consistent
documentation reducing the burden of
these tasks can help prevent physician
burnout a significant problem that leads
to psychological distress for doctors
and worse outcomes for patients lastly
AI is quickly being integrated into
medical education at all levels of
training for example Oscar an Australian
medical education company allows medical
students to practice their history
taking skills on AI patients using this
tool students can learn to ask the
proper questions and consider various
diagnoses for any specific presentation
integrating AI more thoroughly into
formal medical curricula can prepare
future Physicians for ai's increasing
role in healthcare some universities
like Duke and Stanford have already
introduced courses to help medical
students and residents learn to use AI
to solve Health Care issues the Mayo
Clinic and Stanford offer courses that
teach Physicians how AI is currently
influencing medicine as well as how they
can use it to their advantage in their
practice AI is even influencing the
medical school application process which
we made a separate video about Link in
the description AI has huge potential to
revolutionize many different facets of
medicine but with any change we should
be cognizant of any drawbacks or
possible biases we could be introducing
AI after all is designed and programmed
by humans so it's susceptible to the
same biases we are as AI technology
rapidly evolves in all areas of Our
Lives from medicine to personal Wellness
to writing we'll continue to cover
emerging topics here on our YouTube
channel and the med school Insider's
blog check out the artificial
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link in the description thank you all so
much for watching if you enjoyed this
video check out the top 10 most
stressful jobs in healthcare much love
and I'll see you there
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