Industry: Healthcare/ Medical Imaging

The client faced the challenge of accurately tracking and detecting critical features in medical imaging videos, such as tumors or abnormalities. Manual analysis was time-consuming and subject to human error. They needed a comprehensive computer vision solution that could achieve exceptional accuracy in video tracking and detection, aiding healthcare professionals in making accurate diagnoses.

BzAnalytics embarked on a two-year journey, leveraging hand-engineering techniques and state-of-the-art AI models such as PyFaster R-CNN and YOLO to develop an advanced video tracking and detection system. The solution aimed to automate the identification and tracking of critical features in medical imaging videos, empowering healthcare professionals with precise diagnostic information.

Data Collection and Annotation:

Collaborated closely with client to curate a diverse dataset of medical imaging videos, encompassing various medical conditions and anomalies. Leveraged expert annotations to train AI models for accurate video tracking and detection.

AI Model Development:

Utilized deep learning algorithms and computer vision techniques to train AI models capable of tracking and detecting key features with exceptional accuracy.
Integrated PyFaster R-CNN and YOLO models to achieve high precision and real-time performance.

Enhanced Diagnostic Capabilities:

Developed a user-friendly interface that allowed healthcare professionals to visualize and interact with the AI-generated video analysis results.
Provided automatic tracking and detection of tumors or abnormalities, empowering doctors with accurate diagnostic information and facilitating treatment planning.

Results and Impact:

• Exceptional Accuracy: The AI-based video tracking and detection system achieved an outstanding accuracy rate of 99.98%, surpassing manual analysis methods and improving diagnostic precision.
• Streamlined Workflows: By automating video analysis, the system reduced the time required for healthcare professionals to review and interpret medical imaging videos, streamlining diagnostic workflows.
• Improved Patient Outcomes: The system enabled earlier and more accurate detection of critical features, leading to timely interventions, improved treatment planning, and ultimately better patient outcomes.
• Industry Advancement: The Innovative medical company and BzAnalytics played a crucial role in advancing medical imaging technology, setting new standards for accuracy and efficiency in diagnostics.

Additionally, EHR Medical Data Segmentation and Analysis:

As part of the collaboration, BzAnalytics also implemented NLP techniques for EHR (Electronic Health Record) medical data segmentation and fast analysis. This further streamlined the process of extracting relevant information from medical records, enabling faster insights and informed decision-making for healthcare providers.
Through the collaborative efforts of key inputs from clientside and BzAnalytics, the implementation of AI-based video tracking and detection systems revolutionized medical imaging practices. The advanced technology improved diagnostic accuracy, reduced human error, and enhanced patient outcomes. BzAnalytics continues to be at the forefront of innovation in healthcare, leveraging AI and computer vision to transform medical imaging and improve patient care.

Highlights:
• 30% Market growth for Medical procedures
• To power smarter Human Decisions
• Very effective & 99% accurate