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Mount Sinai Receives $5 Million Gift for the Cente | Newswise
Mount Sinai Receives $5 Million Gift for the Center for Ophthalmic Artificial Intelligence and Human Health The John and Daria Barry Foundation will expand clinical and research programs on eye disease Newswise -- (New York, NY - October 16, 2024) - The Icahn School of Medicine has announced a $5 million gift from the John and Daria Barry Foundation for the Center for Ophthalmic Artificial Intelligence (AI) and Human Health. The Center, launched in 2023, will now carry the name "The Barry Family Center for Ophthalmic Artificial Intelligence and Human Health." This gift will expand the Center's clinical programs focused on equitable, primary care-based vision care and support research aimed at the early diagnosis of eye diseases and the creation of innovative risk assessments of systemic health conditions linked to eye disorders. "We are extremely grateful to the Barry family for their generous and transformational gift to spur the growth and success of our innovative Center," says James C. Tsai, MD, Delafield-Rodgers Professor and Chair of Ophthalmology at Icahn Mount Sinai and the Mount Sinai Health System, President of New York Eye and Ear Infirmary of Mount Sinai (NYEE), and inaugural Director of the Center. "We have made advances in raising the standard of vision care at Mount Sinai with new medical technologies that are expanding the boundaries of ophthalmic care for all of human health." "Glaucoma research is critically underfunded, despite the profound impact this disease has on millions worldwide, including my own family," says Daria Barry. "By supporting Mount Sinai's Center for Ophthalmic AI and Human Health, we aim to enable earlier diagnoses and more effective treatments while also ensuring that cutting-edge technology is accessible to all. We are proud to be part of this transformative initiative and confident it will push the boundaries of what's possible in both ophthalmology and broader human health." The funds will be used to recruit a new Center director and a junior/mid-level AI scientist, support ongoing research initiatives, establish one of the first clinical ophthalmology fellowship programs in ophthalmic AI and digital health, and enhance the translation of research findings into clinical care and the educational curriculum for trainees. In partnership with the Windreich Department of Artificial Intelligence and Human Health at Icahn Mount Sinai, the Center is advancing clinical innovation in AI-based diagnostic care in ophthalmology and population-based medical care. Through this Center, Mount Sinai is incorporating AI into trainee and physician education, research, and the clinical setting for rapid diagnosis of eye diseases and conditions, including macular degeneration, diabetic retinopathy, glaucoma, hypertensive retinopathy, systemic conditions, and retinal tumors. Early detection and intervention can prevent vision loss and may also prevent heart attack and stroke, as NYEE researchers have identified deposits under retinal cells that may predict and/or be associated with an increased risk of cardiovascular and neurological conditions. In addition, scientists and physicians at the Center are researching and implementing validated AI models across three initial areas: Mount Sinai's tele-retina program, where primary care physicians use high-quality portable digital cameras to capture retinal images during annual patient exams; Mount Sinai's ophthalmology tele-consult program, which provides timely diagnosis and triage of patients with eye emergencies by using sophisticated telemedicine platforms without relying on in-person consultations from ophthalmologists; and a program that expedites the diagnosis of patients who present with an acute eye stroke (central retinal artery occlusion) through advanced high-resolution imaging and collaborating with ophthalmologists, emergency medicine physicians, the stroke team, and interventional radiologists at several Mount Sinai emergency departments. Researchers are analyzing data-embedded images from these programs and services by developing and using state-of-the-art AI algorithms and combining these findings with high-throughput genotyping data available at Icahn Mount Sinai. AI is helping to develop unique ocular biomarkers that can inform the pathophysiology of eye diseases, highlight health care disparities in eye disease, predict earlier onset of disease and progression, help to better monitor diseases and response to treatment, provide a framework for developing precision medicine strategies for these diseases, and streamline the performance of clinical trials. About the Mount Sinai Health System Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 600 research and clinical labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time -- discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes approximately 9,000 primary and specialty care physicians and 11 free-standing joint-venture centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida. Hospitals within the System are consistently ranked by Newsweek's® "The World's Best Smart Hospitals, Best in State Hospitals, World Best Hospitals and Best Specialty Hospitals" and by U.S. News & World Report's® "Best Hospitals" and "Best Children's Hospitals." The Mount Sinai Hospital is on the U.S. News & World Report® "Best Hospitals" Honor Roll for 2024-2025.
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Major donation fuels advances in ophthalmic artificial intelligence
Mount Sinai Health SystemOct 16 2024 The Icahn School of Medicine has announced a $5 million gift from the John and Daria Barry Foundation for the Center for Ophthalmic Artificial Intelligence (AI) and Human Health. The Center, launched in 2023, will now carry the name "The Barry Family Center for Ophthalmic Artificial Intelligence and Human Health." This gift will expand the Center's clinical programs focused on equitable, primary care-based vision care and support research aimed at the early diagnosis of eye diseases and the creation of innovative risk assessments of systemic health conditions linked to eye disorders. We are extremely grateful to the Barry family for their generous and transformational gift to spur the growth and success of our innovative Center. We have made advances in raising the standard of vision care at Mount Sinai with new medical technologies that are expanding the boundaries of ophthalmic care for all of human health." James C. Tsai, MD, Delafield-Rodgers Professor and Chair of Ophthalmology at Icahn Mount Sinai and the Mount Sinai Health System, President of New York Eye and Ear Infirmary of Mount Sinai (NYEE), and inaugural Director of the Center "Glaucoma research is critically underfunded, despite the profound impact this disease has on millions worldwide, including my own family," says Daria Barry. "By supporting Mount Sinai's Center for Ophthalmic AI and Human Health, we aim to enable earlier diagnoses and more effective treatments while also ensuring that cutting-edge technology is accessible to all. We are proud to be part of this transformative initiative and confident it will push the boundaries of what's possible in both ophthalmology and broader human health." The funds will be used to recruit a new Center director and a junior/mid-level AI scientist, support ongoing research initiatives, establish one of the first clinical ophthalmology fellowship programs in ophthalmic AI and digital health, and enhance the translation of research findings into clinical care and the educational curriculum for trainees. In partnership with the Windreich Department of Artificial Intelligence and Human Health at Icahn Mount Sinai, the Center is advancing clinical innovation in AI-based diagnostic care in ophthalmology and population-based medical care. Through this Center, Mount Sinai is incorporating AI into trainee and physician education, research, and the clinical setting for rapid diagnosis of eye diseases and conditions, including macular degeneration, diabetic retinopathy, glaucoma, hypertensive retinopathy, systemic conditions, and retinal tumors. Early detection and intervention can prevent vision loss and may also prevent heart attack and stroke, as NYEE researchers have identified deposits under retinal cells that may predict and/or be associated with an increased risk of cardiovascular and neurological conditions. In addition, scientists and physicians at the Center are researching and implementing validated AI models across three initial areas: Mount Sinai's tele-retina program, where primary care physicians use high-quality portable digital cameras to capture retinal images during annual patient exams; Mount Sinai's ophthalmology tele-consult program, which provides timely diagnosis and triage of patients with eye emergencies by using sophisticated telemedicine platforms without relying on in-person consultations from ophthalmologists; and a program that expedites the diagnosis of patients who present with an acute eye stroke (central retinal artery occlusion) through advanced high-resolution imaging and collaborating with ophthalmologists, emergency medicine physicians, the stroke team, and interventional radiologists at several Mount Sinai emergency departments. Researchers are analyzing data-embedded images from these programs and services by developing and using state-of-the-art AI algorithms and combining these findings with high-throughput genotyping data available at Icahn Mount Sinai. AI is helping to develop unique ocular biomarkers that can inform the pathophysiology of eye diseases, highlight health care disparities in eye disease, predict earlier onset of disease and progression, help to better monitor diseases and response to treatment, provide a framework for developing precision medicine strategies for these diseases, and streamline the performance of clinical trials. Mount Sinai Health System
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The Icahn School of Medicine at Mount Sinai has received a $5 million donation from the John and Daria Barry Foundation to expand its Center for Ophthalmic Artificial Intelligence and Human Health, advancing AI-based diagnostic care in ophthalmology and population-based medical care.
The Icahn School of Medicine at Mount Sinai has announced a $5 million gift from the John and Daria Barry Foundation to support and expand its Center for Ophthalmic Artificial Intelligence (AI) and Human Health 12. This substantial donation will rename the center to "The Barry Family Center for Ophthalmic Artificial Intelligence and Human Health" and significantly boost its research and clinical capabilities.
The gift will enable the Center to broaden its clinical programs, focusing on equitable, primary care-based vision care. It will also support research aimed at early diagnosis of eye diseases and the development of innovative risk assessments for systemic health conditions linked to eye disorders 1. Dr. James C. Tsai, the inaugural Director of the Center, expressed gratitude for the donation, highlighting its potential to elevate the standard of vision care at Mount Sinai 2.
The funds will be utilized for several critical initiatives:
Mount Sinai is incorporating AI into various aspects of ophthalmology:
The Center is implementing AI models across three primary areas:
The research at the Center extends beyond eye health. Early detection of eye conditions may also help prevent heart attacks and strokes, as researchers have identified retinal deposits associated with increased risk of cardiovascular and neurological conditions 1. The AI-driven approach is expected to develop unique ocular biomarkers, highlight healthcare disparities, predict disease onset and progression, and streamline clinical trials 2.
Daria Barry, one of the donors, emphasized the critical need for funding in glaucoma research, citing its profound impact on millions worldwide, including her own family. The donation aims to enable earlier diagnoses, more effective treatments, and ensure accessibility of cutting-edge technology to all 12.
This significant investment in ophthalmic AI research at Mount Sinai represents a major step forward in leveraging artificial intelligence for improved eye care and broader human health outcomes.
Reference
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