Medical Imaging Software Development

Medical imaging software helps healthcare professionals gain a clear view of a patient’s health, leading to more accurate diagnoses and faster, more effective treatments.

It works alongside imaging hardware (such as X-ray machines, CT scanners, and ultrasound devices) to acquire, process, and analyze medical images. The software enhances image quality, automates abnormality detection, and leverages AI for advanced diagnostics.

Medical Imaging Software Market Overview

In 2025, the international medical image analysis software market was estimated at $8.75 billion. It is forecasted to grow at a CAGR of 7.8% to reach $12.76 billion by 2030. 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, 60% of respondents feel confident about an analytics-assisted radiology diagnosis.
• The need to speed up medical image analysis. Specialized solutions can reduce image reading time by up to 30% and human reading workload by up to 60% (npj Digital Medicine).

Why ScienceSoft Excels in Medical Imaging Software

• Image analysis software development since 2013.
• Working in healthcare and mobile domains since 2005.
• 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.

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:

• CT (computed tomography), e.g., chest or abdomen CT scans.
• MRI (magnetic resonance imaging), e.g., brain or cardiac MRI scans.
• PET (positron emission tomography) used for the assessment of cancers, neurological or cardiovascular diseases.
• SPECT (single-photon emission computed tomography) used to diagnose and monitor bone, neurological, and cardiac disorders.
• Ultrasound images used for disease prevention, diagnosing, and monitoring in various medical specialties.
• X-ray (radiography) scans, often used in injury care, dentistry, pulmonary care, and other medical specialties.
• Mammography for breast cancer prevention and monitoring.
• Other modalities.

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.

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:

• Abdominal system (liver, spleen, kidneys, gallbladder, etc.)
• Genitourinary and endocrine systems (urinary bladder, prostate, reproductive organs, thyroid, etc.)
• Cardiovascular system
• Respiratory system
• Brain and spinal cord
• Mammary glands and more