AI shows great potential to address all the challenges that were faced by clinical trials before the introduction of this new technology. The AI systems enabled with deep learning can fast-track drug discovery and reduce the chances of failure in clinical trials. The demand for AI based clinical trial solution will rise at a considerable growth rate of over 20% to reach a value of about $7,074 million by 2030.
AI in healthcare improves patient outcomes by assisting the professionals in the implementation of medical knowledge. AI systems analyze and memorize the medical knowledge thoroughly, thus providing premium clinical and medical solutions.
Advantages of AI in Clinical R&D
Prediction
AI is used for giving the much-needed info about the interaction of drugs with the people, reducing the clinical trial count considerably. This tries to reduce the random nature of some clinical trials by application of algorithms, repeatedly choosing experiments based on the patters that are developing throughout the process.
Efficient Capturing of Data
Most of the clinical trials are conducted without direct patient input, as most data are collected by healthcare providers when the patient visits a healthcare facility. However, nowadays, people have tablets and smart phones, and many people will have access to wearable devices sooner rather than later.
Data Integration
Clinical trial systems are moving to cloud with the passage of time, letting millions of mobile data points for transmitting info and modify frameworks required for the analysis of data. Global acceptance of electronic health records would pace-up these kinds of integrations.
Adherence
As local recordings will be accessible through the cloud, it will let investigators evaluate and catch irregularities in the patterns of drug intake, in real time, amongst patients and even prompt patients if they overlook their medication dosage. AI platforms sends alerts to the doctor/hospital with the increasing and re-occurring of symptoms.
Explore the growth opportunities and future prospects for the AI-based clinical trials solution market growth
