Medical Image Analysis Software

Image analysis enables medical device manufacturers and researchers to minimize clinical errors, unneeded tests, misdiagnosis cases, and raise care quality.

Market Overview and Trends

In 2022, the international medical image analysis software market was estimated at around $3 billion. By 2023, it is forecasted to reach $5.5 billion growing at a CAGR of 7.5%. The need for robust and efficient medical imaging solutions is increasing due to:

• A growing number of people with chronic diseases. According to CDC, 6 in 10 US citizens live with one or more chronic diseases.
• Increasing consumer trust. According to research, 79% of respondents feel confident about an analytics-assisted radiology diagnosis.
• The need to speed up medical image analysis. The specialized solutions improve medical imaging staff productivity by 30%.

Driving Clinical and Research Benefits

We offer technological support to researchers, medical innovators and medical device manufacturers for tackling complex challenges in preventing, diagnosing and treating diseases. Enabling both manual and automated (via artificial neural networks) analysis of 3D medical images, you unlock the following opportunities to the benefit of providers and patients:

• Machine learning systems to facilitate early diagnostics for higher cure and survival rates;
• Neural networks for diagnosis validation;
• Research-specific algorithms to find hidden patterns and valuable insights to improve drug development as well as examination of complex conditions with adverse symptoms;
• Segmentation solutions to pinpoint a treatment area and thus minimize possible damage to healthy tissue during an invasive procedure;
• Applications integrating 3D imaging with virtual reality (VR) devices to enable immersive training of health specialists, patient education, and advanced diagnostics.

Medical Image Analysis Powered by Machine Learning

To aid in medical image analysis, machine learning algorithms process large amounts of medical data and identify complex patterns. ML is efficient for the following tasks:

• Disease diagnostics.
• Medical image segmentation.
• Tissue type identification
• Health outcomes prediction.

Our Approach to Your Challenges

You strive to supply clinical stakeholders with unprecedented medical image analysis solutions that make diagnostics, treatment and research evolve. We believe that achieving these goals depends on reliability and proficiency of the partner you choose for the journey. Our approach to your needs always includes:

Get a quote

ScienceSoft In Brief

• Image analysis software development since 2013.
• Working in healthcare and mobile domains for 18 years.
• Quality management system for medical devices and SaMD backed by ISO 13485:2016 certification.
• Deep knowledge of healthcare data exchange standards (e.g., HL7, ICD-10, CPT, XDS/XDS-I).
• Guidance on regulatory compliance with HIPAA, GDPR, MDR, FDA, NCPDP D.0, and more.
• ScienceSoft's expertise in medical image analysis was acknowledged in 2022 market leaders researches by MarketsandMarkets and Coherent Market Insights.
• Health Tech Digital named ScienceSoft’s RPM solution the Best Healthcare Technology Solution Award 2022.

Modalities We Are Proficient In

Depending on the type of diagnostics patient requires, medical staff can use various medical imaging devices: CT scanners, ultrasound machines, and others. ScienceSoft is experienced in creating analysis software for the following modalities:

Body Mapping

3D image analysis of particular body parts has certain specifics to it. We are ready to handle your needs in analyzing tissues, bones, muscles and organs in depth, including:

Technologies We Use

Image formats

We support a wide range of common standards and specialized extensions, including:

• DICOM
• Analyze
• MINC
• NIfTI
• ECAT7 and more

Methods