How great would it be if we, the people around us, could live our whole lives without getting sick, which is humanity's long-cherished wish for a long, disease-free, good health life. Looking at the recent emergence of AI-based disease detection technologies, it seems that it is not impossible to enjoy a healthy life without incurable diseases, chronic diseases, or acute diseases.
We are looking forward to seeing what AI, which is currently creating a new trend in all industries, will perform in the medical field. Today, we will learn about AI diagnostic technology that will be the key to health and disease treatment in the approaching 100-year-old era.
Human diseases examined by AI
AI
is optimized for monitoring and analyzing large amounts of medical data using
algorithms. First, we identify meaningful information from X-rays, CT scans,
MRIs, etc., find correlations, and detect signs of disease. It also plays a
role in making a final diagnosis by gathering information and designing
customized treatment methods for customers.
The reason why AI gets particular attention in disease detection and diagnosis is because it processes massive amounts of data quickly and accurately to provide optimal medical plans. Now, let’s look at what diseases and how they can be detected and treated through AI.
clipartkorea.co.kr |
AI
that eradicates cancer through early diagnosis
Cancer,
which remains an unfinished task in the medical industry is one of the
incurable diseases most feared by people around the world. The Korean company
JLK is demonstrating its unrivaled technological prowess in the medical AI
field by securing original patents for artificial intelligence in the cancer field
in the U.S.
The deep learning model device applied by JLK is an evolution of existing technology that analyzes and diagnoses only local features of a single image, and is able to extract disease characteristics from multiple medical images taken under various conditions. It is also said that AI analysis is possible considering global context.
Report for DP-01K solution patient <Source : JLK/MTN News> |
This
invention includes a video using parametric MRI, a cancer detection model
learning unit that learns a deep learning model, a labeling processing unit
that identifies and labels cancer areas, and labeling reference information
that provides reference information for labeling. Deep learning is processed in
the following order. Through this process, cancer can be diagnosed in an
accurate and effective manner, such as by creating a pathology map using AI.
Input MRI image to cancer detection model learning unit -> Extract features of image to be analyzed -> Create context information based on extracted features -> Learn cancer detection model (deep learning)
wipsglobal.com KR10-2150853, "Apparatus for learning deep learning model for cancer region and method for the same" |
Stroke
solution launched by AI
Stroke,
the number one cause of death as a single disease in Korea, refers to brain
damage symptoms that occur when blood vessels supplying blood to the brain
become blocked or burst. Korean company, JLK has already received favorable
reviews at home and abroad by successfully implementing not only cancer
solutions but also stroke AI analysis technology.
clipartkorea.co.kr |
This
technology is a system that accurately diagnoses stroke and reliably predicts
the patient's condition. Followings are its components.
.
Image acquisition unit that receives images
.
Image alignment unit that sorts the acquired images based on standard brain
images
.
Mapping unit that detects and maps lesion parts and generates a mapping image
.
Registration and correction unit that performs image correction by combining
the mapping image with the standard brain image
.
3D image generator that generates 3D lesion images
.
Stroke diagnosis unit that diagnoses stroke based on images
wipsglobal.com KR10-1740464 "Method and system for diagnosis and prognosis of stroke and system therefor" |
This invention is highly regarded in the medical industry because it provides quantitative and statistical results by visualizing the cause and severity of stroke with class-specific accuracy. Recently, 101 out of 373 domestic high-level general hospitals adopted this AI stroke solution, serving as an opportunity for JLK's technology and usability to be further recognized.
Cardiac arrest prediction technology that will thrill the world
Here
is another company that offers optimal treatment as well as patient-centered
healthcare services using AI. Vuno is a company that is raising expectations
not only in Korea and Japan, but also in the U.S. market with its cardiac
arrest prediction medical device, VUNO Med-DeepCARS. Recently, a patent for 'Method
for generating prediction results for early prediction of fatal symptoms of a
subject and apparatus using the same” was granted in the United States, and the
technology related to the medical device 'VUNO Med- DeepCARS' is receiving more
attention.
clipartkorea.co.kr |
This patent relates to a method for early predicting the occurrence of cardiac arrest and generating results in clinical settings. The principle is to convert the patient's biosignals into data according to the individual's characteristics and input them into a machine learning model to generate analysis information for early prediction.
wipsglobal.com KR10-2507451 "Method to read chest image" |
A
unique feature and advantage of this technology is that biosignals can be
personalized by analyzing correlations with biosignal values of other patients
measured in the past. Another reason why this invention is in the spotlight is
that it can make sophisticated diagnoses because it is a result obtained by
analyzing a large amount of information using AI.
screen of 'VUNO Med-DeepCARS" <Source : VUNO/rapportian.com> |
Recently,
‘VUNO Med-DeepCARS’ was designated as an innovative medical device by the U.S.
Food and Drug Administration (FDA), the first in the domestic medical AI
industry. We are looking forward to further progress in the global market.
VUNO
presents a bright future in the fields of blindness prevention and eye disease
treatment. Recently, VUNO registered a patent in the U.S. for its core
technology for reading fundus (back part of the eye) images. This technology is
related to VUNO Med Fundus AI™, VUNO's fundus image interpretation assistance
solution, and its components include an image acquisition module,
discrimination module, learning module, result input module, update module, and
storage and transmission module.
wipsglobal.com KR10-1848322 "Method for facilitating generation of finding and diagnosis data of subject based on fovea image thereof and apparatus using the same" |
This invention improves user convenience by automatically detecting the location of the macula and optic nerve head in the image and printing findings and diagnostic information separately in each zone. The anatomical characteristics of the eye are reflected in compartment division, making it advantageous to effectively indicate the location corresponding to the finding. Additionally, it has the advantage of filtering out unnecessary pathological readings and data, thereby increasing the accuracy and efficiency of diagnosis. This technology will give hope in preventing various eye diseases, including glaucoma, which comes silently and takes away vision.
VUNO Med-Fundus AI < Source : VUNO/ news.mt.co.kr > |
The era of 100 years with AI
Now
‘How can I live long and healthy?’ is a hot potato for modern people unlike the
past, when people were concerned about ‘how can I live long?’. AI, which
specializes in precisely exploring and analyzing data, is expected to show
remarkable performance at the center of the 100-year-old era. We hope that AI
technology will further develop as a ‘technology of salvation’ that detects and
eradicates all diseases that cause human suffering.
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