Artificial intelligence (AI) is poised to revolutionize every aspect of our lives, from transportation to entertainment and from manufacturing to education. Arguably one of the most important areas that will be transformed is health care, enabling us to more quickly and accurately develop diagnoses, expedite drug discovery, and take better and more personalized care of our patients. The Department of Artificial Intelligence and Human Health at the Icahn School of Medicine at Mount Sinai is the foremost department of its kind within a medical school, thus enhancing opportunities for partnerships among medical and computer scientists. Mount Sinai brings to this effort a long tradition as a pioneer and trailblazer in digital health, starting with the earliest adoption of electronic health care records in the 1980s.
Department of Artificial Intelligence and Human Health
Our mission is to create an AI “Intelligent fabric” that will infuse machine-learning and AI-driven decision-making throughout the Mount Sinai Health System’s eight hospitals and more than 400 ambulatory clinics. This intelligent fabric will make available the tools and techniques of artificial intelligence to all Mount Sinai researchers and physicians, facilitating both emergency reactions and long-term strategic decisions. In addition, our Department will train the next generation of health care computer scientists and develop relationships to expand the Department’s reach. We believe that innovation and technology are key to improving health care for everyone. And we will be housed in a new facility located at the center of our main campus on New York City's Upper East Side, which will contain high-performance computing and cloud computing database capabilities.
For modern health care systems, we are envisioning an “Intelligent Fabric” that underpins all biomedicine and health care at Mount Sinai. This Intelligent Fabric will be woven out of AI services that elevate and streamline the work of our clinicians, scientists, and administrators. At the most basic level, we will continue to leverage our existing productivity and decision-support tools for diagnosis, treatment, and workflow optimization; and we will connect and interweave these tools to improve the overall patient outcomes and optimize the resources for the entire health system. Research analytics and mechanisms for multimodal data integration have not yet been built into the modern health care environment. As a result, even health systems that have invested heavily in data science infrastructure remain largely in the dark regarding workflows and outcomes within their walls. At Mount Sinai, the Intelligent Fabric will overcome this issue by providing insight into the whole system from intertwined AI threads.
The aim is to inform local, tactical decision-making with information collected from the entire health system. This will empower local actions to be more in tune with other activities taking place across the health system. This will also enable long-term strategic decision-making for the care of single patients as well as for the entire health care system itself.
The Department of Artificial Intelligence and Human Health will support AI initiatives within departments, institutes, and centers across Mount Sinai and provide an academic home for AI faculty. It will also provide the AI-enabling hardware, software infrastructure, and expertise to continue the Mount Sinai Health System’s stronghold as a leader in providing patient care through pioneering innovations and technologies.
The departments, institutes, and centers that we are working with include:
- The Center for Biostatistics
- The Department of Medicine
- The Department of Pathology
- The Department of Radiology
- The Department of Nephrology
- The Department of Genomics and Genetic Sciences
- Department of Neuroscience
- Scientific Computing and Data Science Partners
- Clinical Data Science
- The Tisch Cancer Institute
- The BioMedical Engineering and Imaging Institute (BMEII)
- The Hasso Plattner Institute for Digital Health at Mount Sinai (HPI-MS)
- The Charles Bronfman Institute for Personalized Medicine (IMP)
- The Mount Sinai Center for Bioinformatics
- The Mount Sinai Clinical Intelligence Center (MSCIC)
We will operate several educational programs designed to teach state-of-the-art technologies in AI health; large-scale machine learning; and digital health that utilizes medical devices, robotic machines, and sensors. These programs will include:
- Artificial Intelligence and Emerging Technologies in Medicine (AIET concentration of the PhD Program in Biomedical Sciences led by Directors Hayit Greenspan, PhD, and Alan Seifert, PhD
- AI courses incorporated into the Graduate School curriculum
- The “AI and Human Health” Seminar Series with guest lecturers available to all Icahn Mount Sinai students
- The “AI and Human Health” Journal Club, a weekly meeting with students presenting scientific publications.
- AI Fellowships for medical students, allowing for protected time to work on AI projects for an entire scholarly year.
Our civilization is undergoing a fundamental transformation that will directly impact every single human being. One does not have to follow Google’s CEO declaring Artificial Intelligence (AI) “more profound than electricity or fire,” but, without a doubt, the impact of AI could eclipse advances from the Industrial Revolution, personal computing, and the internet combined. Health care and well-being, as fundamental human needs, are at the forefront of this transformation.
In health care, this transformation is driven by an annual growth rate of medical data that exceeds all other global data sources, including financial services, manufacturing, media, and entertainment. A single digitized microscopy slide, for example, with its millions of cells and morphological structures, contains more data than a full feature high-definition movie. To that end, the advent of AI in health care is not only driven but made necessary by this explosion of data.
Through its Scientific Computing and Data Partners, Mount Sinai has invested significantly in building a comprehensive infrastructure to accelerate research in all biomedical domains. The statistical methods used to analyze and model biological and health care data have evolved rapidly from classical linear models with a few parameters to early machine-learning models such as support vector machines and random forests that depended on manual feature engineering, to state-of-the-art, high-capacity deep-learning approaches with billions of parameters. Examples in health care are convolutional neural networks for pathology, dermatology, radiology images, and drug discovery, and transformer models for medical language.
Meet Our Key Partners
The Mount Sinai Data Warehouse (MSDW) collects clinical, operational, and financial data for use in clinical and translational research, as well as quality and improvement initiatives. MSDW data goes back to 2003, covering a variety of EMR and ancillary systems at The Mount Sinai Hospital and expanding to Mount Sinai Queens, and in recent years, Mount Sinai Morningside, Mount Sinai West, and Mount Sinai Brooklyn hospitals. The MSDW team offers a list of data services to access custom data sets, custom data marts, and de-identified data.
The Office of Chief Research Informatics Officer (CRIO) oversees the Mount Sinai IT needs related to research infrastructure, data science, and informatics education, taking advantage of the unique data assets, diverse patient population, and informatics resources of the entire Mount Sinai Health System. The CRIO provides critical support to the School's precision-medicine initiative by bridging academic research needs with Mount Sinai's clinical information systems and expanding IT infrastructure supporting clinical and translational research, including e-consenting capabilities integrated with institution-wide biobanking efforts.
For patients, the Intelligent Fabric will extend beyond the improved care in the walls of the health care system: AI companions will guide them toward disease prevention and healthier living, resulting in enhanced well-being. Intelligent tools, together with physicians and staff, will chaperone patients to the right care at the right time and assist with rehabilitation after they return home. The Intelligent Fabric will envelop them with personalized services, giving them the reassuring feeling of being continuously cared for by Mount Sinai, and more importantly, the confidence that comes with knowing that they will get personalized treatment and have an active role in the decision-making process.
Building AI for patient care is a challenging task that comes with many additional responsibilities, ranging from complying with patient consent and guaranteeing privacy to data protection and cybersecurity. To support this effort, Mount Sinai has initiated a wide-ranging AI Ethics initiative to ensure our development, evaluation, validation, and use of AI are ethical and make our AI algorithms for clinical care safe, effective, and equitable.