Improving and expediting treatment options AI algorithms can help us get there sooner by analysing large datasets, including genetic information and medical histories, to inform treatment plans that factor in predicted outcomes and potential treatment responses.

AI can be used to monitor and improve adherence during the clinical trial. This can be through tools such as smartphone alerts and reminders, electronic tracking of medications, tracking of missed clinical visits.

AI's capacity to sift through mountains of data, spot trends, and make precise predictions has the potential to hasten the development of new treatments as well as improve trial design, patient recruitment and selection, safety monitoring, and drug discovery.

Helping researchers and patients find each other doesn't just speed up clinical research. It also makes it more robust. Often trials unnecessarily exclude populations such as children, the elderly or people who are pregnant, but AI can find ways to include them.