Scaida is an innovative AI-powered platform designed to transform how medical imaging diagnostics are handled. It automates the analysis of radiology images, enabling faster, more accurate detection of anomalies like fractures, hemorrhages, and tumors.
Scaida seamlessly integrates with existing HIS/PACS systems and offers cloud-based accessibility, allowing healthcare professionals to make critical diagnostic decisions from anywhere. By reducing human error and improving diagnostic efficiency, Scaida enhances patient care while streamlining radiology workflows for clinics and hospitals.
Healthcare institutions face challenges in managing, interpreting, and diagnosing medical images due to high volumes and variability in image quality. Radiologists are often overwhelmed by the time-consuming nature of analysis, leading to delays and potential human errors.
Scaida is an innovative AI-Powered diagnostic assistant designed
specifically for radiologists. Scaida platform offers a range of
features to help radiologists prioritize cases, generate standardized
reports, and reduce the burden of diagnostics.
Scaida utilizes cutting-edge AI algorithms to automatically analyze and interpret medical images, significantly reducing manual effort and improving accuracy.
Enhances
Collaboration
Scaida provides a
collaborative environment
for radiologists to easily
consult with peers, share insights, and discuss
complex cases, fostering
a culture of
knowledge-sharing and
continuous improvement.
Self Learning and
Evolving
Scaida continuously
learns from new data and
radiologist’s feedback,
enabling the AI to evolve
and improve over time,
staying up-to-date with
the latest advancements
in medical imaging.
Enables
Automation
Scaida streamlines
radiology workflow by
automatically populating
standardized templates
from an extensive library
for radiologists.
This enhancement in
automation leads to
increased efficiency and
consistency in reporting,
allowing radiologists to
focus on more complex
diagnostic tasks.
Provides Decision
Support
Scaida aids in identifying
scans that may warrant
prioritization, yet the
ultimate decision to
prioritize remains with the
radiologist.
This ensures that the
expertise of radiologists is
combined with the power
of AI, resulting in improved
diagnostic efficiency
without compromising
professional judgment.
Enhanced Collaboration
For Complex Cases
Improving Patient Outcomes
Intelligent, Standardized
Templates To Improve
Diagnostic Reporting
Improved
Workflow And
Decision Support
Seamless Integration
For Minimal Disruptions
In Daily Routines
Reduced Time To
Identify And Prioritize
Critical Cases
Leverages Cloud to
Reduce Infrastructure
Challenges
Scaida Flow is a cloud-based diagnostic
platform for radiologists, enabling case
management, remote access, and efficient
report generation. It offers migration services to
transition from on-site storage to the cloud,
preserving clinical history. Unlike Scaida, it does
not include AI modules but helps radiologists
saving time using templates for auto-populated
reports, improving productivity.
Scaida DetectCT is a cloud-based, AI-driven
module that integrates seamlessly with
radiology workflows, offering scalability and
accessibility. Powered by advanced machine
learning, it streamlines diagnostic processes
by rapidly detecting abnormalities in various
anatomical regions like the head, neck, chest,
and pelvis. Its flexibility and precision enhance
diagnostic accuracy, improving patient care.
Scaida BrainCT is an advanced AI-driven
module designed for neuroradiologists,
seamlessly integrating into existing
workflows with cloud-based flexibility and
scalability. It enhances brain CT scan
diagnostics by using neural networks to
detect anomalies such as traumatic
injuries, hemorrhages, infections, tumors,
and degenerative conditions. By offering
detailed semantic segmentation models,
BrainCT acts as a second layer of
analysis, reducing human error and
streamlining diagnostics.
