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AI Use Case

Reduce side effects by collating patient data and optimising processes

People experience side effects on drugs or procedures across the globe and it can be hard to gather the information needed to improve and refine both products and services. AI can be used to collate patient data from departments such as A&E and ultimately use this to predict the impact and help set procedures to minimise these side effects. For example, AI can be used to enhance procedures so as to minimise exposure to potentially dangerous substances during MRI scans.



General Operations


Risk reduction - Patient outcomes,Risk reduction - Reduced legal exposure,Operational Support - Issue triage,Cost - Targeted Trials/ Precision testing

Case Studies

"Bayer~Bayer aims to spot drug-associated side effects earlier with the use of machine learning, RPA and natural language processing ",Stanford University~Stanford researchers reduce heavy metal dose in MRIs using convolutional neural networks

Potential Vendors




Healthcare Equipment And Supplies

Data Sets

AI Technologies

Product - Robotic Process Automation (RPA),Machine Learning (ML),Product - Optical Character Recognition (OCR),Product Type - Natural Language Processing (NLP),Model Architecture - Deep Neural Networks,Model Architecture - Convolutional Neural Network (CNN)

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