Why Choose Our Generative AI Course?
Expert-Led Training
Expert-Led Training
Learn from industry leaders with years of hands-on experience
01
Medical Imaging
Diagnosis
Artificial intelligence can support
radiologists and pathologists as they use medical imaging to diagnose a wide variety of conditions.
02
Robotic Surgery
ML can use real-time data, information to improve the accuracy of surgical robotic tools. The benefits include reduced human error, aid during more complex procedures and less invasive surgeries.
03
Genome Sequencing
Analysis
Optimized for speed, accuracy, and
scalability. Best Practices and is fully
configurable, allowing users to choose which steps, parameter settings, and
versions of the pipeline to run.
04
Smart Hospitals
Brings intelligent video analytics and
conversational AI capabilities to healthcare, simplifying the development for automated body temperature screening, protective mask detection, and remote patient
monitoring.
05
Diagnostic system
from medical imaging
To meet the growing demand for care, medical
technology leaders are turning to AI tools that can help radiation oncologists provide high-quality,
individualized treatment faster.
- Augmenting Radiation Therapy Workflows
- Tapping into Software to Write Software
- Simple and Scalable Infrastructure
Forecasting system
on pharmacological reactions
Adverse drug reactions (ADRs) are an important concern in the
medication process and can pose a substantial economic burden for
patients and hospitals. Because of the limitations of clinical trials, it is
difficult to identify all possible ADRs of a drug before it is marketed. We developed a new model based on data mining technology to predict
potential ADRs based on available drug data.
- Databases and KG construction
- Prediction model
- KG embedding
- Model evaluation
Story from our clients
Showcase of awesome works we have done for our clients
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Successful projects
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Happy Customers
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Professional Experts
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Countries
Optimization for Healthcare
Insurance companies
Insurers are using artificial intelligence and machine
learning to review medical records, optimize care for chronic conditions, identify risk.
Payers manage risk
Insurers are using artificial intelligence and
machine learning to review medical records, optimize care for chronic conditions, identify risk.
AI to optimize health
AI and machine learning move from a custom and
reactive approach to more standardized and proactive management of patient care.
AI LAb demonstrated a strong degree of proactivity, taking time to thoroughly understand the problem and continuously suggesting performance and usability enhancements.Denis TylerGlobal Head of Operations – Light AI, Inc.
We design & build chatbots to automate customer service, lead generation, sales or simplifying internal enterprise processes on a variety of platforms.Katherine Hogan- Technical Manager at VRD
We design & build chatbots to automate customer service, lead generation, sales or simplifying internal enterprise processes on a variety of platforms.Miler Smith- CEO at Epi Technologies
We design & build chatbots to automate customer service, lead generation, sales or simplifying internal enterprise processes on a variety of platforms.David- Technical Manager at VRD
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