"AI Idea Marathon" Debuts at Cedars-Sinai to Delineate the Future of Healthcare
Cedars-Sinai “Creativity Marathon”
Breeding AI medical tools that are more suitable for the clinical frontline
In June 2023, Cedars-Sinai Medical Center held the first Artificial Intelligence "Idea-Thons" conference. More than a dozen front-line medical staff from various specialties including cardiology, emergency medicine, surgery, obstetrics and gynecology, and general internal medicine, as well as data scientists, computational biomedical engineers, and artificial intelligence experts from Cedars-Sinai Medical Center gathered together to cross- Disciplines interact, collide with "new ideas", and explore, develop, and discuss how to better apply AI technology in clinical frontline work, including generative artificial intelligence (such as ChatGPT).
This meeting successfully collided with several artificial intelligence solutions centered on "care coordination, triage, medication management, doctor-patient communication, and clinical trial recruitment." Some of these are optimization suggestions for the AI tools that Cedars-Sinai Medical Center has already begun to develop, and some are brand-new and surprising "new ideas." These highly creative "new ideas" will first be submitted to the hospital's senior management, who will then vote to decide which ones to advance and support first.
Mike Thompson, deputy director of the Data Intelligence Center at Cedars-Sinai Medical Center, said: "Front-line medical staff have personally experienced the pain points and difficulties of clinical diagnosis and treatment, and best understand what problems they will encounter in the process of front-line medical services. During this "Creativity Marathon" "At the meeting, front-line medical care and AI artificial intelligence technology teams communicated with each other to find out which AI technology solutions can best solve daily medical obstacles, best improve daily patient care, and best promote the development of medical research, and overall Provide organizational efficiency.”
Craig Kwiatkowski, senior vice president and chief information officer of Cedars-Sinai Medical Center, pointed out: "The Creativity Marathon also allows our frontline medical staff to participate in the exploration and innovation of artificial intelligence in the future medical field. It allows us to also use We will use our own medical experience and knowledge to tailor more practical and useful AI tools for patients and hospitals.”
The “Idea Marathon” meeting is promoted by Cedars-Sinai Medical Center’s Artificial Intelligence Committee, which is responsible for guiding and coordinating the organization’s artificial intelligence strategy and transforming “new ideas” into practical AI solutions. The second and third "Idea Marathon" conferences will also be held soon and will bring together a wider range of medical professionals, including finance, human resources and other hospital administrators.
Describing the future of medicine with artificial intelligence
Cedars-Sinai is on the way
As leaders at Cedars-Sinai Medical Center lead the hospital through this dynamic medical technology revolution, they are often excited about the potential and applications of AI. The application of AI technology will greatly promote the digitalization and intelligence process of the medical industry. Patients will receive more accurate, faster and more precise medical services with the help of AI medical care, and doctors will also gain broader thinking from AI technology. Opportunities for the development of space and scientific research.
Drig Kwiatkowski said: "The opportunities for artificial intelligence are huge, and we have started research and development on artificial intelligence very early. Artificial intelligence at Cedars-Sinai Medical Center has also had an early impact on clinical and research work."
- Early cancer screening: Researchers at Cedars-Sinai Medical Center have developed an AI tool that uses advanced algorithms to accurately predict pancreatic cancer based on CT scans of people years before they were diagnosed with pancreatic cancer. These early signs in CT scan imaging are invisible to the human eye.
- Heart disease prediction: Multiple AI technologies developed by cardiac experts and AI scientists at Cedars-Sinai Medical Center's Smidt Heart Institute help clinicians more accurately predict the risk of cardiac arrest, identify hypertrophic cardiomyopathy and cardiac amyloidosis, and improve Diagnostic accuracy of coronary heart disease, etc.
- Brain cell modeling: The Anastassiou Lab team (including researchers from the Department of Neurology at Cedars-Sinai Medical Center, the Board of Directors of the Institute for Regenerative Medicine, and other centers) successfully used artificial intelligence to create a realistic And complex computer models of individual brain cells. Researchers hope this model can help humans understand the deepest mysteries of the human brain.
- Alzheimer's genetic research: National Institutes of Health (NIH) awards Cedars-Sinai Medical Center $8 million to support use of artificial intelligence and machine learning methods to identify Alzheimer's disease Study of genetic predictors
- Spine surgery: Some patients experience more severe pain after surgery and require higher doses of opioids for a longer period of time, which increases the risk of opioid abuse. For this reason, it is important to screen and predict patients at high risk for postoperative pain before surgery. In the past, this work required front-line clinical nurses to complete through laborious questionnaires and analysis. Now, engineers in the Division of Computational Biomedicine at Cedars-Sinai Medical Center are working with spine surgeons to use artificial intelligence and machine learning to develop new AI tools to quickly screen high-risk patients with one click.
- COVID-19: At the height of the COVID-19 pandemic, Cedars-Sinai Medical Center developed a new, fully automated deep AI learning tool that could help clinicians more accurately and quickly assess the severity of COVID-19. Currently, this technology has been put into use in clinical studies in multiple centers across the United States.
- Obstetrics and Gynecology: Cedars-Sinai Medical Center uses artificial intelligence algorithms to analyze whether a cesarean section is necessary for women in labor, helping doctors, midwives and maternal families make critical and informed decisions during the delivery process.
- Liver disease: Cedars-Sinai Medical Center experts are studying how ChatGPT can help improve outcomes for patients with cirrhosis and liver cancer by providing easy-to-understand information about basic disease, lifestyle changes and treatment recommendations.
How to keep artificial intelligence innovative, safe and reliable?
Cedars-Sinai adheres to three core strategies
In the future, while maintaining innovation, Cedars-Sinai Medical Center will continue to use rapid breakthroughs in AI technology to rapidly improve precision diagnosis and treatment capabilities, high-quality patient care, cutting-edge scientific research and exploration, and further cultivate better medical care. team. However, the development path of AI medical care is long, and there is still a long way to go. At the same time, related aspects such as the reliability and applicability of AI technology require more fine-tuning and improvement. We also need to be aware of the potential risks involved. For example, the complexity of an AI model can lead to errors in the algorithm’s predictions. At the same time, data privacy issues in AI applications in the medical field are becoming increasingly prominent. Therefore, to ensure that the application of AI technology in the medical field is safe and reliable, monitoring and maintenance need to be carried out in technology research and development, data security, legal policies and other aspects. Therefore, Cedars-Sinai Medical Center's artificial intelligence adheres to three core strategies.
- Investment and Planning: Cedars-Sinai Medical Center is investing in state-of-the-art technology, infrastructure, and services while developing AI fluency among its employees. The purpose is to lay the foundation for meeting the organization's future medical needs.
- Translate innovation into applications: Require the use of AI research and innovation to solve critical, real-world medical challenges, accelerate the integration of AI discoveries into clinical practice, and bring benefits to patients, physicians, and health care delivery systems.
- Focus on compliance with regulatory requirements: Requires the ethical and responsible use and management of AI, while ensuring that AI tools are used in a fair and equitable manner, protecting patients and their privacy. To ensure that the development and application of AI comply with ethical and legal standards, Cedars-Sinai Medical Center has established an Artificial Intelligence Committee. It brings together cross-functional leaders from patient care, clinical research, data and technology teams to review, guide and coordinate AI strategy. Professor Jason Moore, co-founder of Cedars-Sinai Medical Center’s Artificial Intelligence Committee and chair of the Department of Computational Biomedicine, said: “The Artificial Intelligence Committee is a core part of our ‘Commitment to the Responsible Use of Artificial Intelligence’ to promote responsible artificial intelligence. Intelligence Principles to ensure that artificial intelligence is deployed safely and effectively in a fair and transparent manner.”
"We have just begun to understand what artificial intelligence can do for medical treatment. The development of AI medical treatment still has a long way to go, and we must focus on the future. I believe that as long as we continue to work hard, we can use artificial intelligence to create a healthier and more A just world," said by Drig Kwiatkowski.
