DICOM and Medical Radiology

DICOM (Digital Imaging and Communications in Medicine): Articles, Reviews, Software, Open source and opinions.

The Challenges of Open-Source Healthcare Tools: A Lack of Reliability, Updates, and Maintenance

Healthcare

The Challenges of Open-Source Healthcare Tools: A Lack of Reliability, Updates, and Maintenance

Open-source healthcare solutions promise cost reduction and customization, potentially revolutionizing the industry. However, users of tools like EMR, PACS, Radiology, and LIMS face challenges finding reliable, updated solutions. Many open-source healthcare tools are outdated or abandoned, lacking frequent updates. This situation frustrates users seeking well-maintained options, hindering the full realization

By Hazem Abbas
Gimias is A Free Open-source Free App for Medical Image Analysis and Simulation

medical imaging

Gimias is A Free Open-source Free App for Medical Image Analysis and Simulation

GIMIAS is a workflow-oriented environment for solving advanced biomedical image computing and individualized simulation problems, which is extensible through the development of problem-specific plug-ins. In addition, GIMIAS provides an open source framework for efficient development of research and clinical software prototypes integrating contributions from the Physiome community while allowing business-friendly

By Hazem Abbas
Enhancing Patient Care: The Significance of Quality Medical Equipment

DICOM and Medical Radiology

Enhancing Patient Care: The Significance of Quality Medical Equipment

In an era where technological advancements continuously reshape medical practice, ensuring that healthcare facilities are equipped with top-notch medical equipment is crucial for enhancing patient care. The impact of medical equipment on patient outcomes cannot be overstated. Accurate and reliable diagnostic tools are essential for identifying diseases and conditions accurately

By Hazem Abbas
Niffler: An Open-source DICOM Framework for Machine Learning and Processing Pipelines

DICOM and Medical Radiology

Niffler: An Open-source DICOM Framework for Machine Learning and Processing Pipelines

What is Niffler? Niffler is a free open-source lightweight framework to facilitate executing machine learning pipelines and processing workflows on DICOM images and metadata. Niffler facilitates efficient transfer of DICOM images on-demand and real-time from PACS to the research environments. Niffler is also integrated with the radiology information system (RIS)

By Hazem Abbas