At Mount Sinai, we are leveraging artificial intelligence to enhance diagnosis, optimize treatment, and take our research to new levels. Several core facilities focus on AI efforts, which include:
Read about how Mount Sinai employs artificial intelligence across translational research, clinical implementation, and educational initiatives—establishing Mount Sinai as a national leader in the field—but also in safe, ethical, and equitable ways.
At Mount Sinai, we are leveraging artificial intelligence to enhance diagnosis, optimize treatment, and take our research to new levels. Several core facilities focus on AI efforts, which include:
Read about how Mount Sinai employs artificial intelligence across translational research, clinical implementation, and educational initiatives—establishing Mount Sinai as a national leader in the field—but also in safe, ethical, and equitable ways.
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PREDiCTOR Study to Assess the Effectiveness of AI in Producing Psychiatric Objective Measures
New study from Mount Sinai Health System and IBM Research is investigating the use of AI in developing objective measures for psychiatric diagnoses
New Center Aims to Accelerate AI Research and Personalized Treatment in Children’s Health
Novel technique streamlines sleep analysis and supports future clinical tools to detect sleep disorders and other health risks
Join us for our upcoming webinar on Tuesday, March 18, 2025 from 1-2pm.
Researchers Develop New AI Tool That Could Reshape Prostate Cancer Care
Researchers at the Icahn School of Medicine at Mount Sinai have developed an advanced artificial intelligence (AI)-driven tool to improve the management and prognosis of prostate cancer.
Mount Sinai Researchers Create AI Tool to Democratize Access to Cancer Immunotherapy
Researchers at The Tisch Cancer Institute at Mount Sinai, in collaboration with Memorial Sloan Kettering Cancer Center (MSK)
Discover how AI is transforming wound care and reducing hospital acquired pressure injuries - improving patient outcomes and saving costs
Study findings could serve as a foundation for broader neuro-monitoring applications across intensive care units globally
AI Brings a Quantum Leap in the Science of Evaluating and Treating Sleep Apnea
Sleep researchers at Mount Sinai have made a major breakthrough by developing a new model that analyzes sleep study data using generative artificial intelligence. This advance provides a robust profile of patient risk for not just cardiovascular ...
Building Models of Complex Diseases at Mount Sinai
The Mount Sinai Center for Transformative Disease Modeling is leading efforts to integrate big data and biological networks to uncover new therapeutic targets for complex diseases like Alzheimer’s, Parkinson’s, and cancer.
Mount Sinai Health System and IBM Research today announced the launch of the Phenotypes Reimagined to Define Clinical Treatment and Outcome Research (PREDiCTOR) study.
New AI Tool Finds Rare Variants Linked to Heart Disease in 17 Genes
Using an advanced artificial intelligence tool, researchers at the Icahn School of Medicine at Mount Sinai have identified rare coding variants in 17 genes that shed light on the molecular basis of coronary artery disease (CAD), the leading ...
How Good Is AI? A New Study Shows It Can Outperform Seasoned Ophthalmology Specialists
A large language model (LLM) AI system can match, or in some cases outperform, human ophthalmologists in diagnosis and decision-making about glaucoma and retina disease, a new Mount Sinai study shows.
Artificial Intelligence May Help Improve Melanoma and Skin Cancer Early Detection and Treatments
Artificial intelligence has enormous potential for diagnosing and treating melanoma and other skin cancers. When it comes to diagnosis, dermoscopy, confocal microscopy, optical coherence tomography, pathology, and whole-body imaging are ...
The multisite—and possibly paradigm-shifting—study will assess whether pairing coronary CT angiography with an AI-enabled algorithm to classify the build-up of atherosclerotic plaque into stages is superior to the standard of care.
AI Finds Key Signs That Predict Patient Survival Across Dementia Types
Researchers at the Icahn School of Medicine at Mount Sinai and others have harnessed the power of machine learning to identify key predictors of mortality in dementia patients.
Mount Sinai Takes a Leadership Role in Marrying AI to Sleep Medicine
Sleep laboratories and wearable devices generate torrents of data about patients' sleep, much of which is never analyzed.
Agreement aims to help make clinical trials more efficient and lead to faster advances in patient care
When Can a Patient Come Off a Ventilator? This AI Can Help Decide
A Mount Sinai physician has developed an algorithm that uses a range of electronic medical record data to identify patients who are ready to be liberated from ventilation.
Scientists Show How AI May Spot Unseen Signs of Heart Failure
Mount Sinai study suggests a new self-learning algorithm may detect blood pumping problems by reading electrocardiograms
Study Shows How Artificial Intelligence Helped Detect Acute Neurological Cases Earlier
The first study of its kind that uses AI to identify acute neurological disease.