We begin with strategic guidance to ensure that your AI investment yields measurable results. Our process includes assessing AI/Gen AI readiness, identifying high-impact use cases, and conducting an AI proof of concept to validate ideas before scaling. This way, we develop healthcare AI solutions that deliver value from day one.
We design and build advanced healthcare AI solutions using open-source and proprietary language models, both large and small. Our Gen AI development expertise covers custom AI copilots, intelligent agentic systems for decision support, and production-grade RAG applications for clinical and research settings.
We use machine learning, computer vision, and natural language processing to optimize clinical workflows, facilitate decision-making, and accelerate research. Our team also specializes in medical imaging, teaching algorithms to detect anomalies in MRI, CT, and X-ray images. In addition, ITRex has launched the MotionRex AI platform for patient monitoring and rehabilitation using precise human pose estimation.
We build healthcare AI solutions that take complexity, error, and repetition out of clinical and administrative workflows, allowing your teams to focus on what matters most. From appointment scheduling and claims processing to compliance checks and inventory management, our IPA solutions leverage AI to boost efficiency and reduce operational expenses.
Different healthcare stakeholders have different goals, and we help to achieve them all. What stays constant is our focus on the quality and uncompromised compliance of your medical artificial intelligence solutions with relevant standards, including HIPAA, FDA, GDPR, HITECH, and DICOM.
We don’t only implement artificial intelligence solutions for healthcare—although that’s what we competently do—but also ensure interoperability between the newly built AI apps and other healthcare IT systems, such as EHRs and EMRs, patient portals, and population health management software, creating coherent and secure tech environments.
AI-powered analytics systems that allow doctors to create personal healthcare plans based on the analysis of a patient’s genetic characteristics, lifestyle choices, and other factors
Intelligent and agentic systems that offer insights for accurate diagnosis by analyzing patient data, medical images, and real-time sensor feeds
Custom Gen AI applications that assist clinicians with administrative tasks, clinical documentation, and patient communication, freeing up valuable time for patient care
AI solutions for healthcare that help minimize clinical errors and assist researchers and doctors in correctly diagnosing patients and devising better care plans
AI-powered solutions that enable remote diagnosis and treatment of illnesses through intelligent points-of-care, as well as real-time monitoring of patients’ health parameters
AI-powered software that helps identify new targets, optimize trial design, screen patients for enrollment, and effectively analyze trial information
AI solutions for healthcare R&D and biotech companies that help design drugs and materials in fewer iterations and reduce experimental burden via AI-enabled predictions
Smart software systems that enhance practice, radiology, and lab workflows by automating repetitive tasks, optimizing patient flow in real time, providing inventory visibility, and more
Advanced security systems that prevent, detect, and neutralize cyberattacks and ensure a high degree of protection for personal healthcare information
Intelligent, chatbot-powered solutions for early detection and effective management of mental health conditions, from stress to anxiety depression
As an AI healthcare company that values trust and transparency, ITRex sees ethics as a critical component of healthcare AI development. We establish robust protocols and guardrails to timely identify, evaluate, and mitigate AI-related risks. Our team also always puts humans in charge, regardless of how accurate our AI models are, to avoid causing harm to patients' health and lives.
The healthcare industry is at a turning point, facing pressures from rising costs, clinician burnout, and growing patient expectations for personalized care. Forward-thinking organizations are now deploying AI and generative AI to automate complex tasks, accelerate life-saving research, and enhance the quality of care. The data shows that investing in intelligent solutions isn't just an option—it's the key to building a more efficient and effective healthcare future.