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   * Events
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 * Quality of Life
 * Core Technologies
 * Collaborative Developments
 * Milestones Achievements
 * Products and Services
   * Medical Imaging Solutions
   * Diagnostic Imaging
     * DR Detectors
       * FDR D-EVO III
       * FDR D-EVO II
       * FDR ES
       * FDR D-EVO GL
     * Mobile DR Systems
       * FDR AQRO
       * FDR Go PLUS
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     * DR Rooms & Components
       * FDR Visionary Suite
       * D-EVO Suite II
       * FDR D-EVO Suite FSx
       * FDR Clinica FS
     * Image Processing & Console
       * Virtual Grid™
       * Digital Tomosynthesis
       * Dual Energy Subtraction
       * Dynamic Visualization™
       * FDX Console
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       * Persona CS
       * Persona C
     * RF Rooms
     * Search by Specialty
       * Administrator
       * Radiologist
       * Technologist
     * CR Systems
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       * Radiation Oncology Portal Imaging Solutions
       * Quality Assurance Tools
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     * Veterinary
       * VXR Veterinary X-Ray Room
     * Private Practice
       * Chiropractic
       * Internal Medicine
       * Orthopedic
       * Large Animal Imaging
       * Mobile
     * Customer Stories
   * In Vitro Diagnostics
     * HCC Risk Biomarkers (AFP-L3 & DCP)
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       * HCC Risk Biomarkers
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       * HCC Surveillance
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       * μTASWako® i30
       * AFP-L3 Reagent
       * DCP Reagent
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       * HDL Cholesterol
       * LDL Cholesterol
       * Microalbumin
       * Non-Esterified Fatty Acid (NEFA)
     * Research Reagents
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       * Free Cholesterol
       * Glucose
       * HDL Cholesterol (Manual)
       * Phospholipids
       * Total Cholesterol
       * Total Ketone Bodies
       * Triglyceride
     * OEM Opportunities
     * Contact Us
     * Ordering
   * Endoscopy
     * ELUXEO® 7000 System
     * ELUXEO® 700 Series Colonoscopes
     * ELUXEO® 700 Series Gastroscopes
     * Fujifilm 580 Series Interventional Endoscopes
       * Fujifilm ED-580XT Duodenoscope
       * Fujifilm EG-580UT Curved Linear Endoscopic Ultrasound Scope
       * Fujifilm EG-580UR Radial Endoscopic Ultrasound Scope
       * Fujifilm EI-580BT Double Balloon Endoscope
       * Fujifilm EN-580T Double Balloon Endoscope
     * Endoscopic Submucosal Dissection Devices
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       * Bronchoscopes
       * Endobronchial Ultrasound (EBUS)
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   * Endosurgery
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     * Rigid Surgical Scopes
     * Surgical Camera Heads
     * Wireless Monitor System
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   * Enterprise Imaging
     * Synapse PACS
     * Synapse Cardiology PACS
     * Synapse VNA
     * Synapse EIS/RIS
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     * Cardio Vascular Surgery
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AI OUTLOOK: REFLECTING ON 2021, LOOKING FORWARD TO 2022

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3D Advanced Visualization


Artificial Intelligence


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VNA



Artificial Intelligence
1.13.2022 Nathan Gurgel, Director of Product Marketing - Enterprise Imaging,
FUJIFILM Healthcare Americas Corporation

As we ring in a new year, it is a fitting time to reflect on where we’ve been
and where we’re going, and while this applies to all aspects of life, it’s
especially true in our industry.

In the past year, artificial intelligence (AI) made pivotal progress in
advancing the field of diagnostic imaging. Let’s take a look back at lessons
learned in 2021.



In the last year, AI became real

AI is no longer just a conceptual, “bleeding-edge” technology. Rather, the
imaging industry has moved to the early adoption phase. Fujifilm has focused on
ensuring that imaging AI can be seamlessly integrated into standard workflows
and minimizing distractions from AI as adopters move into day-to-day clinical
use. Many clinicians now actively embrace AI, and integration of AI into their
workflows is reaping rewards.

2021 saw the start of a culling process. The industry began to assess and choose
which AI algorithms are likely to thrive based on those that have already
provided real clinical value to radiologists.

Here are the top three imaging areas in which I saw AI adoption and success in
2021:

 1. Neuroradiology: In neuroradiology, AI is being used to help with the early
    detection of intracranial hemorrhage (ICH) and the speedy prioritization of
    ICH patient scans. ICH is the second most common subtype of stroke and
    typically leads to severe disability or death.            Early detection
    and intervention are critical to provide the best chance of positive
    outcomes; a          missed diagnosis can lead to devastating effects. Since
    AI can help with the automatic, rapid identification and prioritization of
    potential stroke patients, we have seen hospitals prioritize this imaging
    area in their AI journeys. We tend to position AI as assisting radiologists
    – a resource to help them do their jobs faster and more effectively. When
    dealing with brain bleeds, this kind of assistance can mean the difference
    between life and death.
 2. Lung nodule detection: Lung nodule detection is another area where AI is
    making strides and proving its value. Sometimes it can be difficult for
    non-specialist radiologists to identify certain lesions. AI can provide
    diagnostic confidence, reinforcing areas of concern. In other instances, a
    radiologist might be focused on another medical priority and not be looking
    for lung lesions or nodules. AI can identify hard-to-spot lesions or
    nodules, bringing them to the clinician’s attention and helping to expedite
    diagnosis and treatment. AI’s ability to help to spot these incidental
    findings greatly assists radiologists in producing thorough diagnoses and
    clearly provides a medical benefit for patients.
 3. Breast imaging: Mammography is a third clinical area in which we saw AI
    prove its value in 2021. Not surprisingly, breast imagers have been early
    adopters of AI, as they have used computer-aided detection (CAD) for years.
    AI can be viewed as the next generation of CAD. It is especially effective
    in helping radiologists spot cancers in women with dense breast tissue. AI
    for breast imaging support is a 2021 trend I expect to become the norm in
    2022 and beyond. With more adopters recognizing the value of AI, workflows
    are a current focus. Today, the industry is working diligently to ensure
    that AI is integrated into their solutions.

What lies ahead for the industry regarding AI in 2022? What challenges can we
anticipate?

Analytics will be a top priority. Providers want solutions that include
analytics overlaid on or integrated with AI to provide real metrics that reflect
the value of the algorithm. Healthcare systems will use these analytics to
determine their return on investment.

Integrated analytics can answer questions such as “Is AI making our radiologists
more efficient? Is it helping them improve diagnoses? Is it improving patient
care?”

The focus in 2022 and beyond will be on assessing and advancing AI that helps
clinicians work more efficiently. For example, the industry needs to determine
how to display relevant data to clinical users at the right time in the most
efficient manner. This is especially true as we begin to automatically
investigate prior studies using AI to inform the current read. It will be
incumbent on vendors such as Fujifilm to determine how to integrate value-added
analytics that can quantify the true ROI of AI by building on the existing AI
platform foundation.

In the future, we can expect AI applications that are designed to unburden the
radiologist by handling some of their daily mundane tasks. AI may even help
alleviate radiologist and technologist burnout—a real and significant concern.

There are also two specific challenges that providers will face in 2022:
reimbursement and algorithm vendor evaluation

Until the industry figures out AI reimbursement, many providers will fail to
adopt the technology. How do they pay for it?

Providers also struggle to determine which algorithms and vendors they should
engage. Separating the good from the bad is never easy for new, emerging
technology.

While we love to see a community striving for innovation, I recommend health
systems turn to their enterprise imaging partners to help vet the AI solutions
that will be most valuable to them. Organizations such as Fujifilm recommend
consideration of algorithms that have been vetted by clinicians and proven to
work in the real-world clinical settings of organizations that have invested in
them.

In 2022, Fujifilm will focus on broadening AI adoption, providing a greater
variety of internally developed AI algorithms and third-party AI support. We’re
presently considering a suite of algorithms versus individual algorithms.
Providers can expect “packages” that include multiple, proven algorithms, such
as a neuroradiology package that offers automated stroke detection along with
other disease detections.

If 2021 was a year of early adoption for AI, we might say that 2022 will be a
year of acceleration and advancement

As AI continues to evolve, its potential to transform healthcare becomes
increasingly evident—and a powerful source of hope for patients. In 2022 and
beyond, Fujifilm plans to advance AI using our flexible solutions to solve
difficult healthcare challenges, so that transformation does indeed become a
reality. That’s a new year’s resolution our customers can hold us to.


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