Modern Pathology,
Год журнала:
2024,
Номер
unknown, С. 100687 - 100687
Опубликована: Дек. 1, 2024
This
review
article
builds
upon
the
introductory
piece
in
our
seven-part
series,
delving
deeper
into
transformative
potential
of
generative
artificial
intelligence
(Gen
AI)
pathology
and
medicine.
The
explores
applications
Gen
AI
models
medicine,
including
use
custom
chatbots
for
diagnostic
report
generation,
synthetic
image
synthesis
training
new
models,
dataset
augmentation,
hypothetical
scenario
generation
educational
purposes,
multimodal
along
with
multi-agent
models.
also
provides
an
overview
common
categories
within
discussing
open-source
closed-source
as
well
specific
examples
popular
such
GPT-4,
Llama,
Mistral,
DALL-E,
Stable
Diffusion
their
associated
frameworks
(e.g.
transformers,
GANs,
diffusion-based
neural
networks),
limitations
challenges,
especially
medical
domain.
We
libraries,
tools
that
are
currently
deemed
necessary
to
build
integrate
Finally,
we
look
future,
impact
on
healthcare,
benefits,
concerns
related
privacy,
bias,
ethics,
API
costs,
security
measures.
Turkish Journal of Psychiatry,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
Mental
disorders
are
a
critical
global
public
health
problem
due
to
their
increasing
prevalence,
rising
costs,
and
significant
economic
burden.
Despite
efforts
increase
the
mental
workforce
in
Türkiye,
there
is
shortage
of
psychiatrists,
limiting
quality
accessibility
services.
This
review
examines
potential
artificial
intelligence
(AI),
especially
large
language
models,
transform
psychiatric
care
world
Türkiye.
AI
technologies,
including
machine
learning
deep
learning,
offer
innovative
solutions
for
diagnosis,
personalization
treatment,
monitoring
using
variety
data
sources,
such
as
speech
patterns,
neuroimaging,
behavioral
measures.
Although
has
shown
promising
capabilities
improving
diagnostic
accuracy
access
services,
challenges
algorithmic
biases,
privacy
concerns,
ethical
implications,
confabulation
phenomenon
models
prevent
full
implementation
practice.
The
highlights
need
interdisciplinary
collaboration
develop
culturally
linguistically
adapted
tools,
particularly
Turkish
context,
suggests
strategies
fine-tuning,
retrieval-augmented
generation,
reinforcement
from
human
feedback
reliability.
Advances
suggest
that
can
improve
by
while
preserving
essential
elements
medical
care.
Current
limitations
be
addressed
through
rigorous
research
frameworks
effective
equitable
integration
into
Keywords:
Artificial
İntelligence,
Health,
Large
Language
Model,
Machine
Learning,
Psychiatry.
Modern Pathology,
Год журнала:
2024,
Номер
unknown, С. 100687 - 100687
Опубликована: Дек. 1, 2024
This
review
article
builds
upon
the
introductory
piece
in
our
seven-part
series,
delving
deeper
into
transformative
potential
of
generative
artificial
intelligence
(Gen
AI)
pathology
and
medicine.
The
explores
applications
Gen
AI
models
medicine,
including
use
custom
chatbots
for
diagnostic
report
generation,
synthetic
image
synthesis
training
new
models,
dataset
augmentation,
hypothetical
scenario
generation
educational
purposes,
multimodal
along
with
multi-agent
models.
also
provides
an
overview
common
categories
within
discussing
open-source
closed-source
as
well
specific
examples
popular
such
GPT-4,
Llama,
Mistral,
DALL-E,
Stable
Diffusion
their
associated
frameworks
(e.g.
transformers,
GANs,
diffusion-based
neural
networks),
limitations
challenges,
especially
medical
domain.
We
libraries,
tools
that
are
currently
deemed
necessary
to
build
integrate
Finally,
we
look
future,
impact
on
healthcare,
benefits,
concerns
related
privacy,
bias,
ethics,
API
costs,
security
measures.
