AI Solutions for Healthcare: Development Services
AI is set to shape the future of healthcare industry, addressing critical challenges while enhancing patient outcomes, driving operational efficiency, and reducing costs.
Unicsoft’s ISO certified team is well-equipped to build risk-free healthcare AI solutions compliant with HIPAA & EU AI Act regulations.
Next-Gen Healthcare Solutions Powered by AI
Early symptom prediction
AI and ML analyze patient data, enabling early disease detection, precise diagnoses, operational efficiency for healthcare institutions, improved patient outcomes, and cost reduction for health insurance.
Cancer prognostic model
A predictive cancer prognosis model that integrates histology and genomic data through AI and deep learning, resulting in more precise treatments, improved patient outcomes, and valuable insights for cancer research.
Hospital stay forecast
The use of AI tools in predicting long-term hospital stays helps optimize resource management and personalized care, offering strategic benefits to healthcare professionals and improved health outcomes for patients.
Personalized medications and care
The AI system, by leveraging machine learning and comprehensive patient data, facilitates personalized treatment plans in healthcare, enhancing treatment effectiveness, improving patient health outcomes, and leading to cost savings in the healthcare sector.
Real-time prioritization and triage
AI-based patient triaging systems, employing techniques like natural language processing, machine learning, and computer vision, offer a streamlined solution to prioritize and match patients to the appropriate healthcare provider, enhancing efficiency, and patient outcomes.
Deep research into neurological disorders
AI-based patient triaging systems, employing techniques like natural language processing, machine learning, and computer vision, offer a streamlined solution to prioritize and match patients to the appropriate healthcare provider, enhancing efficiency, and patient outcomes.
Healthcare management through intelligent automation
An AI-powered automation engine can streamline data management in healthcare by integrating various data sources, capturing relevant clinical data, and using ML to identify critical information, leading to improved efficiency and more informed decision-making.
Virtual assistants in healthcare
Leveraging artificial intelligence (AI) and natural language processing (NLP), chatbots can perform various tasks efficiently and accurately: appointment scheduling, patient triage, basic inquiries, symptom checker, medical research assistance.
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Planning to develop a healthcare AI solution with minimized risks?
Challenges of Healthcare AI Solution Development
Mastering AI in healthcare demands tackling intricate challenges, from technical complexities to ethical and regulatory considerations.
Data Drought
Quality data fuels reliable insights from healthcare AI. Preparing clear, complete, and accurate datasets is pivotal for successful medical AI projects.
Regulation Compliance
In a regulated healthcare landscape, meeting HIPAA, FDA, or GDPR requirements is paramount. Our expertise ensures functional and compliant AI healthcare solutions, mitigating privacy risks.
Black-box Issue
In healthcare, transparent AI is essential. Our developers strike the ideal balance between model complexity, accuracy, and explainability, ensuring doctors grasp AI-generated recommendations.
Data Security
Healthcare AI demands substantial data for precision, but data security is crucial. We fortify against breaches with robust measures like advanced threat detection, activity control, and anonymization.
Infrastructure Scalability
AI model training and testing demand scalable, reliable infrastructure. Navigating cloud provider choices is vital. We guide your AI healthcare project, ensuring the right infrastructure fit for evolving data volumes.
Seamless Integration
Real value in healthcare AI demands seamless integration with existing systems, but complex software can trigger compatibility issues. Our team readies your IT infrastructure for AI implementation, ensuring system harmony.
Unicsoft's Approach to Navigating AI Challenges in Healthcare
HIPPA compliant
We set a unique approach field-tested by Unicsoft to develop truly HIPAA compliant healthcare systems.
Undisputed quality
Unicsoft is ISO 25010 certified, ensuring our quality control spans functional suitability, reliability, performance, security, and more across all our projects.
Stress-free compliance
The datasets and AI technologies are secure and compliant with GDPR and EU AI Act recommendations.
High speed, low cost
The Lean methodology and low-code tools allow us to deliver a testable prototype without breaking the bank within weeks, not months.
Looking for a top-rated development team to build or enhance your own healthcare AI solution?
Facts in Figures
15+
Countries Covered
200+
Delivered Projects
93%
Customer Retention Rate
4 Years
Our Average Partnership Duration
75%
of Сlients note our Project Management Excellence
200 000+
Talent Pool
Our Process of Medical AI Software Development
01. Requirement analysis
First, we define the challenges you want to solve with a healthcare AI solution. Our team identifies your goals, requirements, and preferences. We also outline the scope of the project and prepare paperwork.
02. Data exploration
At this step, we explore the data to uncover its characteristics, structure, and patterns. Data exploration is essential for gaining greater insights into what we will work with and for further data analysis.
03. Building a model
Now, we are ready to create, train and evaluate an AI model for your project. An AI model will need enough data to meet your requirements. So, at this step, we may also go back to the data collection, structuring, and labeling process.
04. AI solution development
At this stage, we engineer the features of your AI healthcare solution. Basically, that’s the phase when your idea finally turns into a real product.
05. QA & testing
The testing phase is essential to ensure your healthcare AI solution is bug-free and functions as intended. It involves creating test cases, writing scripts, and executing them to spot any issues.
06. Support
The support stage involves performance monitoring, updates, and troubleshooting. You may also need your model re-trained to comply with the changing goals.
What our clients say
What our clients say
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Contacts
Meet us inSwitzerland
Frederik Bonde
Unicsoft partner, founder @paterhn.ai
Address
Gotthardstrasse 26, 6300 Zug
Meet us inthe UK
Olga Kotlamina
Director of Software Engineering
Telephone
Email
Address
2nd Floor, 6 Market Place, London, Fitzrovia, W1W 8AF
Meet us inGermany
Aleksey Zavgorodnii
Chief Executive Officer
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Address
Bahnhofstr. 4a Planegg 82152 Munich
Meet us inFinland
Dmytro Naumenko
Business Development Director for Northern Europe
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Address
Innova 1, Piippukatu 11, 40100, Jyvaskyla
Meet us inCyprus
Anna Levkivska
Recruitment Director
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Address
Georgiou A', 14, Office 15, Potamos Germasogeias, 4047, Limassol
Meet us inthe Netherlands
Dmytro Naumenko
Business Development Director for Northern Europe
Telephone
Email
Address
c/o Fluwelensingel 27a, 2806 CB Gouda
Meet us inthe USA
Meet us inDenmark
Jawahar Lal Matu
Regional Director
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Email
Address
Tuborg Boulevard 9, 1tv, 2900 Hellerup/ Copenhagen
Meet us inUkraine
Nadiia Kopylova
Head of Customer Success
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Email
Address
39 Ivana Kudri str, office 11, Kyiv 01042
Meet us inSingapore
Yurii Kryvoborodov
Head of Technology Consulting
Telephone
Address
The Signature, 51 Changi Business Park Central 2, Level 04-05, 486066
FAQ
How is AI used in healthcare?
AI can cause an actual revolution in healthcare. It is already being used worldwide for diagnostics and treatment support, clinical decision-making, and real-time remote patient monitoring. Other important applications of AI solutions in healthcare are medicine development and clinical studies.
Why does your healthcare organization need to adopt AI?
AI solutions in healthcare help improve patient outcomes and experience, streamline hospital workflow, reduce medical costs, and make clinical services more effective in general. By using AI-enabled tools, clinicians can better understand the patient’s medical history and current conditions, identify potential risks, and start treatment early on.
What AI technologies can be used in healthcare?
Artificial intelligent technologies that can be used for building an AI healthcare solution include machine learning, deep learning, natural language processing, and computer vision.