ให้คำปรึกษางานวิจัยและการพัฒนา AI ทางการแพทย์

If you're interested in utilizing artificial intelligence to help your patients and want someone to help you. HeAIth is your answer!

We are a team of AI engineers, lawyers, physicians, and full-stack developers who have worked in both the business and academic sectors and are also internationally recognized experts in medical AI. 

We can offer guidance on everything from data collection planning to system installation for production. Additionally, we can assist you in selecting the best product for your needs, ensuring that you get what works for patients at the best price.

We provided consultation on medical AI services in the following areas:

1. AI in Signal Processing

We have a team of researchers with experience, especially in AI in signal processing, and were recognized worldwide. We have published several works in top IEEE journals in the field of using machine learning to process complex signals, including EEG, EMG, IMU, PSG, PPG, and medical images. We also file patents for some of our work. Our experience covers conventional machine learning algorithms and deep learning frameworks such as recurring neural networks, convolutional neural networks, and generative adversarial networks. Here are some examples of our works:

                                                             
                                                          MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification,
                                                                                                          IEEE Transactions on Biomedical Engineering

                                                             
                                                       EEGWaveNet: Multi-Scale CNN-Based Spatiotemporal Feature Extraction for EEG Seizure Detection,
                                                                                                                    IEEE Transactions on Industrial Informatics,

                                                                       

                                                       Improving heart rate estimation on consumer grade wrist-worn device using post-calibration approach,
                                                                                                                                       IEEE Sensor Journal

1. Prediction Model

We have years of experience using machine learning techniques such as deep learning, XGBoost, and Random Forest to develop prediction models for medical conditions such as cardiovascular risk and mortality risk associated with surgical procedures. Not only do we make the model, but we can also help you put it on the portal of your choice, whether it's cloud-based or on-premise.

1. Medical Imaging:

We do research in medical AI fields like MRI, CT, X-Ray, and digital pathology, and we know the basics of the algorithms that can be used to make AI that can help clinicians do things, such as find centroblast cells on slides and figure out how much spleen space sickle cell patients have.

Additionally, we have experience with complex open source software, like MONAI, which is open source for medical AI imaging. This means that you can quickly take advantage of the most recent open source technology.