Interactive AI Chatbot Based on the GPT Model
Our client is one of the subsidiaries of the largest telecommunication holding in Japan, ranked 55th in the Fortune Global 500. The company provides one of Japan's largest internet access
We provide healthcare AI consulting to help improve people’s lives in many ways. Algorithms open new doors to deeper insights, advance patient care, and accurate diagnosis. Are you ready to see how healthcare can change? We’ll gladly show you the difference!
Contact UsArtificial intelligence is an exciting technology, but how can you approach it? By offering medical AI consulting services, we help define an AI vision based on healthcare providers’ strategy and tech structure. It includes setting attainable goals and creating a roadmap for AI implementation.
Need a helping hand to put in place healthcare AI? The CHI team knows how to act. We will assess your infrastructure and integrate the tools working for your goals. We also provide employee training to make AI a solid foundation for your growth.
Our engineers deliver AI systems that help doctors and nurses make better decisions. These solutions give AI medical consultations in the form of individual advice. They help determine the issue, provide personalized treatment plans, and keep patients safe.
AI is the best technology to help patients stay connected and looked after, even from home. We build solutions that give patients health tips. They remind them to take meds and watch their healthcare outcomes.
This is a new era of early disease diagnostics and monitoring! We design and deploy computer vision models for analyzing X-rays, MRIs, and CT scans. Now, you can save thousands of lives by reducing medical errors and predicting undesirable effects in the future.
Understanding human languages is key. It makes NLP invaluable for digging through medical data. Our AI healthcare consultants will help you process doctor notes, research articles, and even patient feedback. Our goal is to find every important bit of information. Thanks to AI, paperwork will be a quick task to tackle off the to-do list.
Operational Efficiency Innovative AI solutions can handle everything. They can manage patient appointments, sort medical records, and predict ER peak times. It allows healthcare providers to optimize their staff and cut patient wait times.
Cost Reduction Automated systems reduce the need for a large administrative staff. They also reduce errors that cause losses in the healthcare industry. Besides, AI can lower expenses for misdiagnosis or ineffective treatments.
Predictive Analytics AI analyzes patient data from electronic health records (EHRs), wearables, and other sources. It does this to improve the data and analytics experience. They predict which patients are likely to develop certain conditions. For example, diabetes or heart disease. Also, it’s your opportunity to forecast outbreaks and efficiently manage hospital resources.
Treatment Personalization AI algorithms boost personalization. They use health data from a patient's genes, lifestyle, and even social factors. It gives way to individual treatments, not just based on general guidelines. It can improve patient outcomes where one-size-fits-all approaches are less successful.
Enhanced Diagnostic Accuracy Healthcare AI tools are especially good at interpreting medical images (X-rays and MRIs). They are sometimes more accurate than human professionals. For chronic diseases or conditions where time is critical, AI can be a lifesaver.
Improved Patient Engagement AI apps give personalized health tips. They also remind patients to take meds or help with their rehab. Such an approach can lead to better healthcare outcomes and higher patient satisfaction.
• scikit-learn
• SciPy
• LightGBM
• XGBoost
• pandas
• NumPy
• Prophet
• NLTK
• fastText
• spaCy
• PyTorch
• TensorFlow
• Keras
• Hugging Face
• Stanford CoreNLP
• Gensim, Rasa
• GATE
• OpenCV
• PyTorch
• TensorFlow
• TensorFlow Lite
• Keras
• Dlib
• Tesseract
• CUDA
• Core ML
• MediaPipe
• K-nearest neighbors (KNN) algorithm
• support vector machines (SVMs)
• feedforward neural network (FNN)
• DBSCAN
• k-means
• self-organized feature maps (SOFM)
• Isolation Forest algorithm
• variational autoencoder (VAE)
• Fourier and Wavelet transform
• MFCCs
• k-Shape clustering
• dynamic time warping (DTW)
• Matplotlib
• Seaborn
• Plotly/Dash
• Principal component analysis (PCA)
• t-SNE
• ARIMA
• SARIMA
• ARMA
Our healthcare AI consultants should understand your organization on a deeper level. We examine existing healthcare systems to come up with a list of AI opportunities.
Here, our medical AI consultants must plan out our work, pick a tech stack according to project goals, and consider possible risks. Our team makes sure that you know what to expect from our healthcare AI consulting services.
The healthcare industry is vulnerable in terms of data processing and security. So, we establish a reliable patient data infrastructure and guarantee its ethical use. Our AI medical consultants takes every measure to address possible privacy concerns.
t is the fundamental stage of healthcare AI consulting. Here, we develop and train AI models, using the data prepared at the previous stage. Machine learning and deep learning allow us to achieve the best results.
Now, the software must become part of your existing healthcare IT ecosystem. As medical AI consultants, we ensure the solution's compatibility with current workflows for the best possible results.
Next, it is crucial to test the healthcare AI tool in real-world settings. At this stage, we check the software’s accuracy, reliability, and user experience.
t’s time to release the AI solution and make it a part of healthcare delivery and operations.
We provide continuous AI monitoring to help you maintain the desired software performance. Our team also reacts to feedback from your staff and users to plan out and execute software updates.
AI in healthcare operations is incredible! These are more details to prove our point.
AI-infused healthcare development involves integrating various artificial intelligence technologies into healthcare providers’ operations. It uses algorithms to analyze complex medical data and assist in diagnostic processes. It also minimizes medical errors, personalizes treatment plans, and enhances operational efficiency.
We are experts in various technologies to help you succeed. They include natural language processing, computer vision, machine learning, and more. Plus, our engineers are involved in scientific research, meaning they can help you reach the forefront of tech innovation. Finally, CHI Software has an ISO certificate. We know how to manage historical patient data.
Our medical AI consulting flow has nine steps. It goes from discovery to monitoring a finished AI solution. We help build solid AI strategies and prepare data for them. Then, we pick an optimal tech stack and plan out our work. Our engineers can next build AI models and test them. In other words, CHI helps healthcare organizations at any stage of AI integration.
Yes, at CHI Software, we offer custom AI development specifically tailored for healthcare organizations. Our solutions cover a wide range of healthcare applications, including predictive analytics, wellness-focused solutions, and AI-powered tools to enhance patient care, operational efficiency, and decision-making.
Yes, our team specializes in connecting AI tools with electronic health records (EHRs), hospital management systems, and other healthcare platforms to enhance efficiency, automate workflows, and improve patient outcomes.
Implementing an AI solution in healthcare typically takes 4 to 9 months, depending on the complexity of the system and integration requirements. This includes:
1. Planning & Requirement Analysis: 4-6 weeks
2. Data Preparation & Model Development: 8-12 weeks
3. Testing & Integration: 6-10 weeks
4. Deployment & Training: 4-8 weeks
Timelines can vary based on project scope and system intricacies.