TL;DR:
- Elsevier and OpenEvidence collaborate to provide doctors with generative AI for real-time access to medical research.
- The partnership aims to improve patient care, reduce costs, lower wait times, and enhance accessibility.
- ClinicalKey AI, the product of this collaboration, enables doctors to input symptoms and access data from trusted sources.
- Experts believe that AI can support up to 50% of medical decisions, potentially revolutionizing healthcare.
- Uneven doctor training and biases in research data pose challenges to AI adoption in healthcare.
- Despite concerns, the partnership signifies a significant step towards integrating AI into the medical field.
Main AI News:
In a groundbreaking collaboration, Elsevier, a scientific information and data analytics powerhouse, has teamed up with the innovative medical startup OpenEvidence to equip healthcare professionals with the power of generative AI for real-time patient diagnoses. This partnership marks a significant step forward in the integration of artificial intelligence (AI) in the medical field, promising to enhance patient care, reduce costs, decrease wait times, and expand accessibility to top-tier medical knowledge.
Daniel Nadler, the founder of OpenEvidence, emphasizes the rarity of initiatives that create a net aggregate benefit for all parties involved. He argues that the Elsevier-OpenEvidence partnership is an exception, delivering substantial advantages to every participant in the healthcare ecosystem.
ClinicalKey AI, the product of this collaboration, empowers physicians to input patient symptoms, explore drug interactions, and obtain results that draw from a vast collection of medical journals and trusted sources. Jan Herzhoff, President of Elsevier Health, envisions ClinicalKey AI as a potential “game-changer,” with the potential to support up to half of all medical decisions with generative AI.
Currently, Elsevier is piloting ClinicalKey AI with 1,000 clinicians in an early access program, with plans for a broader release next year. This development highlights the pivotal role that AI can play in transforming healthcare, making it indicative of how AI is poised to reshape numerous industries.
Unlike generic AI systems, like ChatGPT or Bard, this approach combines powerful AI models with domain-specific data, reducing errors and minimizing inaccuracies compared to querying generic tools trained on the broader internet.
According to Danny Tobey, a doctor and lawyer leading DLA Piper’s AI practice, AI’s ability to assist doctors in connecting patient symptoms with the latest research is invaluable, particularly for those who lack access to top-tier medical professionals. This technology is set to elevate the standard of care by providing doctors with up-to-date medical information at their fingertips.
In the ever-evolving landscape of medicine, doctors receive initial training and then spend their careers striving to keep up with constant advancements. This uneven training often results in varying diagnoses when presented with the same set of symptoms. AI pioneer Daphne Koller, CEO of medical AI startup Insitro, underscores this challenge.
However, while AI tools trained on specialized domain data, such as medical journals, are less prone to errors, they may still reflect biases present in the research data. Koller points out that preconceptions in research can influence AI’s outputs.
Moreover, some studies suggest that doctors remain skeptical of AI and worry about potential legal liabilities associated with its use.
OpenEvidence, founded during the COVID-19 pandemic, initially focused on providing information to drugmakers but soon expanded its scope. It became the first AI tool to score above 90% on a standard medical licensing exam. Inspired by the surge of new research during the pandemic, Daniel Nadler launched OpenEvidence, aiming to provide a needle in the rapidly expanding haystack of medical knowledge.
Conclusion:
The Elsevier-OpenEvidence partnership is poised to revolutionize the healthcare industry by arming doctors with generative AI to access the latest medical research in real time. While challenges and biases persist, the potential to improve patient care, reduce costs, and enhance accessibility is undeniable. As AI continues to transform medicine, we can expect more innovative collaborations that harness the power of AI for the betterment of healthcare.
