In the medical and health field, artificial intelligence can help reduce the cost of ongoing health operations, and can have an impact on the quality of medical care for patients everywhere. By diagnosing diseases earlier, AI can also improve patient outcomes. No matter how you look at it, artificial intelligence has great potential in healthcare.

1. Artificial intelligence
enters the medical
field:
11 companies are
using AI technology
to improve health
effects
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2. Artificial intelligence and medical
information management
Hospitals, clinical research centres, and other
medical institutions collect and store large
amounts of patient, financial, and employee data.
By using artificial intelligence to better manage
medical and health-related information and
knowledge, patients can obtain medical
consultations or first-class consulting services
and care faster through virtual forms. More
importantly, doctors can learn through
educational modules driven by artificial
intelligence.
Artificial intelligence and clinical
decision support
In the era of big data, artificial intelligence-driven
clinical decision support systems can be
designed to improve the quality and accuracy of
the medical and health decision-making
process. In other words, AI- driven software
engines can be used to improve diagnosis and
help doctors make better and more informed
decisions faster. The end result is to simplify the
complex process, making it easier for doctors to
arrive at a more deterministic and accurate
medical diagnosis.
Two main use cases of artificial
intelligence in healthcare
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3. Examples of
artificial
intelligence in
healthcare

4. IDx: AI detects retinopathy
caused by diabetes
How IDx uses artificial intelligence technology in healthcare: This Coralville- based company has
developed an AI- based diagnostic system. By simply studying a batch of retinal images, clinicians
can detect retinopathy caused by diabetes. The company's flagship AI- driven product IDx-DR
achieves an incredible 90 % certainty, 87 % sensitivity, and 95 % image ability.
In just one minute, the diagnostic tool can determine whether there is an eye disease caused by high
blood sugar destroying blood vessels in the back of the eye. This artificial intelligence-based
software has been approved by the FDA for use in the United States and has been used in a large
medical institution: University of Iowa Hospitals and Clinics.
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5. Apple: Atrial Fibrillation (Afib)
Detection
How Apple uses artificial intelligence in healthcare: The Company’s AI sensor is built into its flagship
wearable product Apple Watch series, which uses artificial intelligence to detect atrial fibrillation, a
cardiovascular disease characterized by arrhythmia. Apple’s ECG app enables users to take an
electrocardiogram and detect any missing, fast, or problematic heartbeats. By monitoring your
heartbeat in the background, if there is an abnormal heartbeat that seems to be an Afib disease
signal, the app can notify you so that you can see a doctor as soon as possible.
Apple’s Afib is very useful for detecting AI- driven applications, because this disease is often difficult
to notice, especially among young people. According to estimates by the US Centres for Disease
Control, atrial fibrillation affects nearly 2 % of young people and more than 9 % of Americans over 65
years of age.
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6. Aidoc: CT Cerebral Haemorrhage
Diagnosis
How Aidoc uses artificial intelligence in healthcare: Aidoc has developed an artificial intelligence-
driven brain solution that uses a computer to screen and scan CT images to help mark the
occurrence of intra cerebral haemorrhage.
The clinical decision support system uses the power of deep learning and AI to help radiologists
classify possible cases of acute intracranial haemorrhage (ICH). Although it was approved by the
U.S. Food and Drug Administration in August 2018, the radiology workflow AI solution has been
commercialized in many other countries since 2017. By detecting internal bleeding more accurately
and quickly, this is an excellent solution that can help doctors diagnose and treat cerebral
haemorrhage faster and more effectively.
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7. iCADL breast by X breast density
assessment rays
How iCADL uses artificial intelligence in healthcare: iCAD uses a combination of big data and artificial
intelligence to help radiologists better assess breast density based on the scope of BI-RADS
standards. Artificial intelligence software can help detect breast cancer more accurately for women
with dense breasts. How is this done? In view of the breast X -ray sensitivity of dense breast in
women from the normal 98 % to about 48 % (by American women in the 40 % to 50 %), iCAD solution
uses artificial intelligence to enhance further recommended screening tests, including breast X -ray
tomography and so on.
iCAD CEO Ken Ferry expressed: "iCAD of PowerLook Density Assessment 3.4 provides automatic, rapid
and reproducible assessment of breast density to help identify those who may bring because of
dense breasts and breast X patients drop precision-ray. "
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8. QuantX: Detection of breast
lesions
How QuantX uses artificial intelligence in healthcare: QuantX is a diagnostic platform that is
supported by machine learning to help skilled doctors perform feature induction and detection of
breast lesions. By combining case mining and AI, this tool can help radiologists and doctors better
diagnose breast abnormalities and prescribe personalized treatment plans.
The AI function of QuantX can help meet the diagnostic needs of medical managers, doctors and
patients. It has been approved by the FDA for use in hospitals in the United States.
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9. Imagen (OsteoDetect ): Detection
of wrist fractures in adult patients
How Imagen uses artificial intelligence in healthcare: Healthcare AI technology company Imagen has
developed an AI- based diagnosis and detection software called OsteoDetect, which uses machine
learning technology to identify adult patients’ wrist fractures. Through the computer-aided detection
platform, doctors can quickly and accurately find distal radius fractures.
This diagnostic solution has been approved by the FDA and can benefit many scenarios in
healthcare, including emergency care facilities, primary care facilities, emergency rooms, etc. It is a
good example of artificial intelligence in medical care aids, and it will complement the
professionalism of radiologists.

10. The potential of AI in the medical field is
huge. There are already many eye-catching
AI applications that have made progress in
this field.

11. THANK YOU!
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