Past year
All results
- All results
- Verbatim
scholar.google.com › citations
Dec 21, 2023 · AI can also be used to create an external control arm to make trials more patient-centric, shorten enrollment timelines, and increase statistical power, as well ...
Oct 22, 2024 · To conclude, AI has the potential to significantly enhance clinical trial efficiency, particularly in patient recruitment, data management, and trial design.
Missing: ADAPTIVE | Show results with:ADAPTIVE
Oct 8, 2024 · AI can be used to predict patient outcomes and the probability of trial success. This allows sponsors to improve their trial design beforehand.
Missing: ADAPTIVE | Show results with:ADAPTIVE
Jun 6, 2024 · Enhancing patient recruitment: AI algorithms can identify eligible trial participants quickly and efficiently by analyzing raw data, reducing workloads, and ...
Nov 22, 2023 · By integrating AI for personalized treatment plans, healthcare professionals can optimize patient care, improving health outcomes and patient satisfaction [18].
Missing: CENTRIC | Show results with:CENTRIC
Nov 5, 2024 · In modern clinical trials, the integration of AI and ML is enhancing the efficiency and precision of trial design, enabling faster patient recruitment, real ...
Feb 22, 2024 · AI empowers trials to take proactive and decisive measures to improve patient and clinical trial outcomes. Enhancing Decision-Making - The integration of AI ...
Sep 11, 2024 · Applying AI to recruitment in clinical trials has demonstrated several positive outcomes, such as increasing efficiency, cost savings, improving recruitment, ...
Oct 11, 2024 · The integration of these technologies allows for dynamic trial designs, adaptive monitoring, and enhanced patient recruitment strategies, which were previously ...
Sep 13, 2024 · Moreover, the integration of artificial intelligence (AI) technologies in clinical trial data management has shown promising results. According to Novartis, ...
Missing: ADAPTIVE | Show results with:ADAPTIVE
People also search for