Explore the potential of artificial intelligence for healthcare initiatives with Devox’s custom development. Treat more patients better, raise precision in diagnostics, and boost pharmaceutical research, following the Hippocratic oath and saving lives.

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Services We Provide

AI Solutions for Healthcare Services We Provide

Medical AI can take different shapes depending on its mission: what Devox can develop will make an impact in pharmaceutical or clinical research, help provide better organization and streamline everyday operations in the hospital, and, of course, work with diagnoses directly.

  • Precision Medicine Solutions

    Devox provides precision medicine solutions tailored to individual patient needs by leveraging AI algorithms to analyze genetic, clinical, and lifestyle data. Provide personalized treatment recommendations, harness predictive risk assessments, and boost targeted therapy options, improving patient outcomes in your facility.

  • AI-Powered Expert Systems

    Our expert systems harness AI capabilities to emulate human expertise, offering intelligent decision support and diagnostic assistance. Harness accurate insights, streamlined workflows, and enhanced diagnostic precision, ultimately improving patient care and clinician productivity.

  • Medical Image Analysis Software

    Improve the accuracy and speed of medical image interpretation, aiding your doctors in early disease detection and treatment planning: Devox develops advanced medical image analysis software that employs AI algorithms to interpret and analyze complex imaging data. Gain access to tools for automated image segmentation, lesion detection, and quantitative analysis, enabling faster diagnosis, treatment planning, and research insights.

  • Telemedicine and Remote Patient Monitoring

    With Devox’s telemedicine and remote patient monitoring solutions, you can offer your patients virtual consultations and real-time health monitoring services. Let us develop a platform that facilitates secure communication, data exchange, and remote symptom tracking, fostering patient engagement, accessibility, and continuity of care.

  • Clinical Trial Solutions

    Devox offers comprehensive clinical trial solutions powered by AI to streamline trial design, patient recruitment, and data analysis. Benefit from accelerated trial timelines, enhanced participant selection algorithms, and predictive analytics for trial outcomes that quicken drug development and regulatory approval.

  • NLP for Clinical Documentation

    We can automate the extraction of insights from unstructured clinical notes for you, enabling more tailored documentation, coding, and analysis of patient data. Harness accelerated charting and analysis workflows, improving clinical decision-making, regulatory compliance, and healthcare delivery.

  • Drug Discovery and Material Design Software

    Accelerate research and development processes by predicting molecular properties, optimizing compound synthesis, and simulating biological interactions. Our engineers will develop tools for virtual screening, lead optimization, and structure-based drug design, enabling faster innovation and cost-effective research.

  • Intelligent Workflows and Data Management

    Devox designs intelligent workflows and data management solutions that automate routine tasks, optimize resource allocation, and ensure data integrity and compliance. Clients receive tailored systems for workflow optimization, data integration, and decision support, bolstering effective operations and organizational agility.

  • AI-Driven Wellness Tech

    Artificial intelligence solutions in wellness tech empower clients to promote healthy lifestyles, prevent chronic diseases, and optimize wellness interventions. You will gain access to personalized coaching platforms, behavior change algorithms, and predictive analytics for proactive health management and risk mitigation.

  • AI-driven Pharmaceutical Research

    Devox accelerates pharmaceutical research processes by leveraging AI technologies, from target identification to clinical trial design. Clients benefit from predictive modeling, virtual screening, and biomarker discovery tools, facilitating faster drug discovery, validation, and market entry.

  • Patient Monitoring Using Wearables

    Devox develops patient monitoring solutions leveraging wearable devices and AI algorithms to track vital signs, activity levels, and health metrics in real time. Clients receive actionable insights, early warning alerts, and personalized interventions, enabling proactive healthcare management and remote patient care.

Development Process

Our AI Solutions for Healthcare Development Process

Harness AI-powered healthcare in your facility, being positive the software in question is precisely tailored to your profile. See how we ensure this customization and what stages your upcoming solution undergoes before deployment.


01. Requirement Gathering

At the dawn of development, we gather requirements from stakeholders, including healthcare providers, administrators, and end-users. This involves understanding their needs, pain points, and objectives for implementing AI in healthcare. Additionally, the Devox team reconciles the tech stack, team size, milestones, and KPIs.


02. Data Collection and Preparation

Next, our engineers identify and collect relevant data sources such as electronic health records (EHRs), medical imaging databases, genomic information, readings from wearable devices, and clinical trial data. The data is then cleaned, normalized, and preprocessed to ensure quality and consistency.


03. Model Development

With a clean dataset in hand, we develop solution healthcare using machine learning, deep learning, or other AI techniques, depending on the specific use case. This involves selecting appropriate algorithms, feature engineering, and training the models using labeled datasets.


04. Validation and Testing

We test the developed AI models rigorously and validate them using independent datasets to assess their performance, accuracy, and generalizability. This ensures that the models are reliable and robust enough for real-world deployment.


05. Integration with Healthcare Systems

Once validated, we integrate the AI models into existing healthcare systems, such as electronic health record (EHR) systems, imaging platforms, or telemedicine platforms. To reach this, the Devox team develops APIs, interfaces, or custom integrations to enable seamless data exchange and interaction.


06. Deployment and Implementation

Finally, we deploy the application into the production environment and implement it within healthcare settings, pilot testing it in specific departments or clinics before full-scale deployment across your organization. Our team ensures harmonious adoption, integrating AI technology into clinical workflows and training your workers.


07. Monitoring and Maintenance

After deployment, we continuously monitor the application to ensure it performs as expected and delivers the intended benefits, monitoring model performance, data quality, and user feedback, as well as making updates or improvements as needed. We assess its impact on clinical outcomes, optimizing and refining them based on feedback and performance metrics to further improve their effectiveness and usability.

  • 01. Requirement Gathering

  • 02. Data Collection and Preparation

  • 03. Model Development

  • 04. Validation and Testing

  • 05. Integration with Healthcare Systems

  • 06. Deployment and Implementation

  • 07. Monitoring and Maintenance

Key Features

Key Features of AI Solutions for Healthcare


Data Integration

Ability to aggregate and integrate data from various sources such as electronic health records (EHRs), medical imaging systems, wearable devices, and genomics databases for comprehensive patient insights.


Machine Learning Algorithms

Utilization of advanced machine learning algorithms to analyze large datasets, identify patterns, make predictions, and provide decision support for clinical diagnosis and treatment planning.


Natural Language Processing (NLP)

Capability to extract and analyze unstructured clinical text from medical notes, reports, and literature, enabling automated documentation, coding, and analysis for improved efficiency and accuracy.


Image Analysis

Tools for analyzing medical images such as X-rays, MRIs, and CT scans using deep learning techniques to assist radiologists in detecting abnormalities, segmenting structures, and predicting disease progression.


Predictive Analytics

Application of predictive modeling and analytics to forecast patient outcomes, identify at-risk populations, optimize resource allocation, and improve preventive care strategies.


Remote Monitoring and Telemedicine

Platforms for remote patient monitoring and telemedicine consultations, enabling real-time monitoring of vital signs, symptom tracking, and virtual visits for improved access to care and patient engagement.


Clinical Decision Support

Systems that provide evidence-based recommendations, clinical guidelines, and alerts to healthcare providers at the point of care, assisting in diagnosis, treatment selection, and medication management.


Drug Discovery and Development Tools

Solutions for accelerating drug discovery processes through virtual screening, molecular modeling, lead optimization, and predictive toxicology assessments using AI-driven algorithms.


Benefits of AI Solutions for Healthcare Services

Become one of the AI medical diagnostics companies, leveraging the potential of predictive analytics on healthcare, scale your pharmaceutical production, streamline hospital operations - or harness everything at once. See what healthcare AI can do for you.

  • Improved Diagnostic Accuracy

    Provide your patients with accurate diagnosis early: AI algorithms can analyze complex medical data, such as imaging scans, with a level of detail and consistency that may surpass human capability. Leverage tailored treatment plans that account for individual patient differences, potentially leading to better health outcomes and patient satisfaction.

  • Predictive Analytics for Preventive Care

    Predict individuals at risk of developing certain conditions, allowing for early intervention and preventive measures. Based on historical data, medical artificial intelligence can forecast the course of the disease or the effects of certain treatments, improving patients’ long-term health outcomes.

  • Remote Monitoring and Care

    Enable continuous monitoring of patients' health, facilitate timely medical interventions, and reduce the need for hospital visits: AI-powered means of telemedicine (wearables and mobile devices) provide background patient surveillance, which is especially beneficial for chronic disease management. Moreover, you will extend healthcare services to underserved populations and remote areas, improving access to care and contributing to health equity.

  • Drug Discovery and Development Acceleration

    The traditional drug discovery and development process is costly and time-consuming. AI accelerates this process by predicting the efficacy of compounds, simulating clinical trials and identifying potential drug candidates, reducing costs and speeding up time to market.

  • Clinical Decision Support

    AI systems provide healthcare professionals with data-driven insights and recommendations, enhancing clinical decision-making regarding all hospital areas. Make sure treatments are based on the latest medical research and data, select the most appropriate candidates for clinical trials, and gain certainty in early diagnoses with our custom software.

  • Medical Research and Knowledge Discovery

    AI tools can analyze vast amounts of medical literature and data, uncovering new insights, facilitating knowledge discovery, and contributing to the advancement of medical science. AI can identify correlations and causations within this data, as well as process and summarize vast amounts of medical literature, helping researchers stay up-to-date with the latest scientific discoveries and clinical trials. Accelerate the pace of your medical research, translating research findings into clinical practice.

Case Studies

Our Latest Works

View All Case Studies
Nabed Nabed

Bridging MedTech and MarTech for Enhanced Patient Engagement

Nabed is a SaaS platform at the crossroads of MedTech and MarTech. It enables caregivers to engage with patients using comprehensive, personalized educational content for better healthcare outcomes.

Additional Info


Lebanon Lebanon

Social Media Screening Platform Social Media Screening Platform
  • Backend
  • Frontend
  • Cloud Services
  • DevOps & Infrastructure

Social Media Screening Platform

The project is a web-based AI-powered platform for comprehensive social media background screening. Its supertask is to streamline potential employee background checks for companies, tackling employment risk management.

Additional Info

Core Tech:
  • .NET Core
  • Angular
  • Azure
  • Docker
  • GitLab CI/CD
  • Selenium Web Driver


ActivePlace ActivePlace
  • health
  • fitness
  • marketplace

Health - and Community-Oriented Social Platform

ActivePlace is a wellness social network and media platform with a marketplace feature, dedicated to health, fitness, and an active lifestyle. It connects people with like-minded individuals, mentors, and businesses.

Additional Info

Core Tech:
  • Jenkins
  • Angular
  • Ruby
  • Figma


and over 200 our featured partners and clients

Awards & Certifications

Industry Contribution Awards & Certifications

Check Devox Software Awards on rating & review platforms among top software development companies and Certifications our team members holds.

  • Awards
  • Certifications
  • UpWork


  • Clutch


  • The Manifest

    The Manifest

  • DesignRush


  • MC.today


  • Clutch


  • Clutch


  • AppFutura


  • Clutch


  • GoodFirms


  • DesignRush


  • UpWork


  • Professional Scrum Master™ II (PSM II)

    Professional Scrum Master™ II (PSM II)

  • Professional Scrum Product Owner™ I (PSPO I)

    Professional Scrum Product Owner™ I (PSPO I)

  • ITIL v.3 Foundation Certificate in IT Service Management

    ITIL v.3 Foundation Certificate in IT Service Management

  • ITSMS Auditor/Lead Auditor of ISO Standard 20000

    ITSMS Auditor/Lead Auditor of ISO Standard 20000

  • Microsoft Certified: DevOps Engineer Expert

    Microsoft Certified: DevOps Engineer Expert

  • Microsoft Certified: Azure Administrator Associate

    Microsoft Certified: Azure Administrator Associate

  • Quality Assurance ISTQB Foundation Level

    Quality Assurance ISTQB Foundation Level

  • Microsoft Certified Solution Develop (MCSD)

    Microsoft Certified Solution Develop (MCSD)

  • Java Development Certified Professional

    Java Development Certified Professional

  • JavaScript Developer Certificate – W3Schools

    JavaScript Developer Certificate – W3Schools

  • Certified Artificial Intelligence Scientist (CAIS)

    Certified Artificial Intelligence Scientist (CAIS)

  • Oracle Database SQL Certified Associate

    Oracle Database SQL Certified Associate




The solutions they’re providing is helping our business run more smoothly. We’ve been able to make quick developments with them, meeting our product vision within the timeline we set up. Listen to them because they can give strong advice about how to build good products.

Carl-Fredrik Linné
Tech Lead at CURE Media
Darrin Lipscomb
United States

We are a software startup and using Devox allowed us to get an MVP to market faster and less cost than trying to build and fund an R&D team initially. Communication was excellent with Devox. This is a top notch firm.

Darrin Lipscomb
CEO, Founder at Ferretly
Daniel Bertuccio

Their level of understanding, detail, and work ethic was great. We had 2 designers, 2 developers, PM and QA specialist. I am extremely satisfied with the end deliverables. Devox Software was always on time during the process.

Daniel Bertuccio
Marketing Manager at Eurolinx

We get great satisfaction working with them. They help us produce a product we’re happy with as co-founders. The feedback we got from customers was really great, too. Customers get what we do and we feel like we’re really reaching our target market.

Trent Allan
CTO, Co-founder at Active Place
United Kingdom

I’m blown up with the level of professionalism that’s been shown, as well as the welcoming nature and the social aspects. Devox Software is really on the ball technically.

Andy Morrey
Managing Director at Magma Trading
Vadim Ivanenko

Great job! We met the deadlines and brought happiness to our customers. Communication was perfect. Quick response. No problems with anything during the project. Their experienced team and perfect communication offer the best mix of quality and rates.

Vadim Ivanenko
United States

The project continues to be a success. As an early-stage company, we're continuously iterating to find product success. Devox has been quick and effective at iterating alongside us. I'm happy with the team, their responsiveness, and their output.

Jason Leffakis
Founder, CEO at Function4

We hired the Devox team for a complicated (unusual interaction) UX/UI assignment. The team managed the project well both for initial time estimates and also weekly follow-ups throughout delivery. Overall, efficient work with a nice professional team.

John Boman
Product Manager at Lexplore
Tomas Pataky

Their intuition about the product and their willingness to try new approaches and show them to our team as alternatives to our set course were impressive. The Devox team makes it incredibly easy to work with, and their ability to manage our team and set expectations was outstanding.

Tamas Pataky
Head of Product at Stromcore
Stan Sadokov

Devox is a team of exepctional talent and responsible executives. All of the talent we outstaffed from the company were experts in their fields and delivered quality work. They also take full ownership to what they deliver to you. If you work with Devox you will get actual results and you can rest assured that the result will procude value.

Stan Sadokov
Product Lead at Multilogin
United Kingdom

The work that the team has done on our project has been nothing short of incredible – it has surpassed all expectations I had and really is something I could only have dreamt of finding. Team is hard working, dedicated, personable and passionate. I have worked with people literally all over the world both in business and as freelancer, and people from Devox Software are 1 in a million.

Mark Lamb
Technical Director at M3 Network Limited


  • What is the typical development timeline for an AI healthcare solution?

    The development timeline for an AI healthcare solution can vary significantly depending on the project’s complexity, the volume and variety of data available for training the models, and the integration requirements with existing healthcare systems.

    A basic AI model for patient triage or risk assessment might take 6 to 12 months from conceptualization to deployment. More complex solutions, such as deep learning for medical image analysis or predictive analytics for personalized medicine, could take 1 to 3 years.

    Critical timeline factors include data preparation, model training and validation, regulatory approval, and user testing to ensure the solution meets clinical needs and meets healthcare standards.

  • What are some expected innovations in AI for healthcare in the next decade?

    Over the next decade, artificial intelligence in healthcare is poised to witness several groundbreaking innovations. One significant area is the use of AI for real-time, point-of-care diagnostics using portable devices, greatly expanding access to healthcare services, especially in remote areas. Another anticipated innovation is the integration of AI with next-generation sequencing technologies to accelerate the move towards more comprehensive genomic medicine, enabling highly personalized treatments.

    What will also advance is the development of AI-driven robotic surgery, offering greater precision and reducing recovery times for patients. We also expect to see artificial intelligence playing a crucial role in synthesizing and analyzing the vast amounts of data generated by wearable health devices, leading to more proactive and preventive healthcare management.

  • What are the current adoption rates of AI in healthcare, and what growth is expected in the near future?

    As of the last few years, adoption rates of AI in healthcare have been steadily increasing, with a significant surge in interest and investment following the COVID-19 pandemic. A report from 2021 indicated that approximately 30% of healthcare organizations globally are already utilizing AI in some form, with adoption rates expected to double within the next five years.

    The artificial intelligence healthcare market is projected to grow from $6.6 billion in 2021 to over $45 billion by 2026, reflecting a compounded annual growth rate of around 46%. This growth is driven by the increasing demand for personalized medicine, the need to reduce healthcare costs, and the ongoing digital transformation in the healthcare sector.

  • What programming languages and technologies are predominantly used in developing AI solutions for healthcare?

    Developing AI solutions for healthcare predominantly utilizes Python thanks to its extensive libraries and frameworks like TensorFlow, PyTorch, and Keras, which facilitate the building, training, and deploying machine learning models. Additionally, Python’s readability and simplicity make it accessible to researchers and developers from various backgrounds. 

    Other technologies often used include R for statistical analysis, especially in epidemiology and genetics research, and SQL for database management and data retrieval. Cloud computing platforms such as AWS and Google Cloud are also integral, offering scalable resources for processing and analyzing large healthcare datasets securely.

  • How do AI solutions ensure compliance with healthcare regulations and data privacy laws?

    Artificial intelligence in health care is designed with a strong emphasis on compliance with regulations such as HIPAA in the United States and GDPR in Europe, ensuring patient data is handled securely and with respect to privacy. This involves encrypting data both at rest and in transit, conducting regular security assessments, and implementing access controls to ensure only authorized personnel can access sensitive information.

    Moreover, AI developers often work closely with legal experts to continuously monitor and adapt to changing regulations, ensuring that solutions are compliant at launch and remain so as laws evolve. Audit trails and transparent data usage policies are also established to maintain accountability and trust.

  • Can Devox create a solution similar to solve.healthcare, and what does it require?

    Certainly, Devox can engineer a solution similar to solve healthcare, focusing on the integration of AI and healthcare technology. This endeavor requires leveraging state-of-the-art AI algorithms for predictive analytics, natural language processing (NLP) for interpreting clinical documentation, and machine learning for medical image analysis. Key components include secure data storage compliant with healthcare regulations like HIPAA, high-performance computing resources for processing large datasets, and user-friendly interfaces for both healthcare providers and patients. The development utilizes technologies such as Python for AI model development, alongside TensorFlow or PyTorch for deep learning tasks. The expected outcome is a robust platform that enhances diagnostic accuracy, streamlines healthcare workflows, and improves patient engagement and outcomes, all while ensuring data privacy and security.

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