Research output per year
Research output per year
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Dive into the research topics where Mount Sinai Clinical Intelligence Institute is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Alexander Charney
- Artificial Intelligence and Human Health
- Friedman Brain Institute
- Genetics and Genomic Sciences
- Graduate School of Biomedical Sciences
- Hasso Plattner Institute for Digital Health at Mount Sinai
- Icahn Genomics Institute
- Icahn School of Medicine at Mount Sinai
- Jeff and Lisa Blau Adolescent Consultation Center for Resilience and Treatment
- Mount Sinai Clinical Intelligence Institute
- Nash Family Center for Advanced Circuit Therapeutics
- Pamela Sklar Division of Psychiatric Genomics
- Psychiatry
Person
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Girish Nadkarni
- Institute for Health Equity Research
- Artificial Intelligence and Human Health
- Graduate School of Biomedical Sciences
- Hasso Plattner Institute for Digital Health at Mount Sinai
- Icahn School of Medicine at Mount Sinai
- Medicine
- Medicine - Nephrology
- Mount Sinai Clinical Intelligence Institute
- Nephrology T32
- The Charles Bronfman Institute for Personalized Medicine
Person
Research output
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A foundational vision transformer improves diagnostic performance for electrocardiograms
Vaid, A., Jiang, J., Sawant, A., Lerakis, S., Argulian, E., Ahuja, Y., Lampert, J., Charney, A., Greenspan, H., Narula, J., Glicksberg, B. & Nadkarni, G. N., Dec 2023, In: npj Digital Medicine. 6, 1, 108.Research output: Contribution to journal › Article › peer-review
Open Access -
A machine learning approach to determine resilience utilizing wearable device data: analysis of an observational cohort
Hirten, R. P., Suprun, M., Danieletto, M., Zweig, M., Golden, E., Pyzik, R., Kaur, S., Helmus, D., Biello, A., Landell, K., Rodrigues, J., Bottinger, E. P., Keefer, L., Charney, D., Nadkarni, G. N., Suarez-Farinas, M. & Fayad, Z. A., 1 Jul 2023, In: JAMIA Open. 6, 2, ooad029.Research output: Contribution to journal › Article › peer-review
Open Access -
A machine learning model identifies patients in need of autoimmune disease testing using electronic health records
Forrest, I. S., Petrazzini, B. O., Duffy, Á., Park, J. K., O’Neal, A. J., Jordan, D. M., Rocheleau, G., Nadkarni, G. N., Cho, J. H., Blazer, A. D. & Do, R., Dec 2023, In: Nature Communications. 14, 1, 2385.Research output: Contribution to journal › Article › peer-review
Open Access -
A Primer in Precision Nephrology: Optimizing Outcomes in Kidney Health and Disease through Data-Driven Medicine
Jayaraman, P., Crouse, A., Nadkarni, G. & Might, M., 1 Apr 2023, In: Kidney360. 4, 4, p. E544-E554Research output: Contribution to journal › Review article › peer-review
Open Access -
Author Correction: Clonal haematopoiesis and risk of chronic liver disease (Nature, (2023), 616, 7958, (747-754), 10.1038/s41586-023-05857-4)
NHLBI TOPMed Hematology Working Group, 20 Jul 2023, In: Nature. 619, 7970, p. E47Research output: Contribution to journal › Comment/debate
Open Access -
Author Correction: The power of genetic diversity in genome-wide association studies of lipids (Nature, (2021), 600, 7890, (675-679), 10.1038/s41586-021-04064-3)
Global Lipids Genetics Consortium & VA Million Veteran Program, 2023, (Accepted/In press) In: Nature.Research output: Contribution to journal › Comment/debate
Open Access1 Scopus citations -
Automated electrocardiogram signal quality assessment based on Fourier analysis and template matching
Menon, K. M., Das, S., Shervey, M., Johnson, M., Glicksberg, B. S. & Levin, M. A., Jun 2023, In: Journal of Clinical Monitoring and Computing. 37, 3, p. 829-837 9 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Web-Based Reporting System for Reviewing Local Practice Patterns of Anesthesiologists Derived from the Electronic Medical Record
Wax, D. B., Kahn, R. A. & Levin, M. A., Dec 2023, In: Journal of Medical Systems. 47, 1, 28.Research output: Contribution to journal › Article › peer-review
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Biological research and self-driving labs in deep space supported by artificial intelligence
Sanders, L. M., Scott, R. T., Yang, J. H., Qutub, A. A., Garcia Martin, H., Berrios, D. C., Hastings, J. J. A., Rask, J., Mackintosh, G., Hoarfrost, A. L., Chalk, S., Kalantari, J., Khezeli, K., Antonsen, E. L., Babdor, J., Barker, R., Baranzini, S. E., Beheshti, A., Delgado-Aparicio, G. M., Glicksberg, B. S., & 36 others, Mar 2023, In: Nature Machine Intelligence. 5, 3, p. 208-219 12 p.Research output: Contribution to journal › Review article › peer-review
Open Access2 Scopus citations -
Biomonitoring and precision health in deep space supported by artificial intelligence
Scott, R. T., Sanders, L. M., Antonsen, E. L., Hastings, J. J. A., Park, S. M., Mackintosh, G., Reynolds, R. J., Hoarfrost, A. L., Sawyer, A., Greene, C. S., Glicksberg, B. S., Theriot, C. A., Berrios, D. C., Miller, J., Babdor, J., Barker, R., Baranzini, S. E., Beheshti, A., Chalk, S., Delgado-Aparicio, G. M., & 36 others, Mar 2023, In: Nature Machine Intelligence. 5, 3, p. 196-207 12 p.Research output: Contribution to journal › Review article › peer-review
Open Access1 Scopus citations -
Cannabis Use and CKD: Epidemiological Associations and Mendelian Randomization
Dellepiane, S., Paranjpe, I., Rajagopal, M., Kamat, S., O'Hagan, R., Gulamali, F., Rein, J. L., Charney, A. W., Do, R., Coca, S., Glicksberg, B. S. & Nadkarni, G. N., Feb 2023, In: Kidney Medicine. 5, 2, 100582.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Circulating proteins to predict COVID-19 severity
The Mount Sinai COVID-19 Biobank Team, Dec 2023, In: Scientific Reports. 13, 1, 6236.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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HeartSciences Signs Definitive Agreements with the Icahn School of Medicine at Mount Sinai to Commercialize Artificial Intelligence Cardiovascular Algorithms
Son Duong, Girish Nadkarni, Vivek Y. Reddy & Son Quang Duong
21/09/23
12 items of Media coverage
Press/Media
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Fat burning during exercise varies significantly between people; understand
8/09/23
1 item of Media coverage
Press/Media
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Mount Sinai Researchers use new Deep Learning approach to enable analysis of ECG as language
4/09/23
1 item of Media coverage
Press/Media
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Findings from Icahn School of Medicine at Mount Sinai Yields New Data on Schizophrenia (Schizophrenia Risk Conferred By Rare Protein-truncating Variants Is Conserved Across Diverse Human Populations)
Amanda Dobbyn, Pamela Sklar, Kenneth L. Davis, Nikolaos Daskalakis, Panagiotis Roussos, Sophia Frangou, Dolores Malaspina, Alexander Charney, Joseph Buxbaum, Laura Huckins & David Cohen
29/08/23
1 item of Media coverage
Press/Media
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'Fat burning zones' on much commercial gym equipment are not accurate, finds research
22/08/23
3 items of Media coverage
Press/Media
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You're not burning that fat: science uncovers fitness gadget deception
22/08/23
1 item of Media coverage
Press/Media
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What the fat: “Fat burning” zones on exercise machines may not be accurate for everyone
21/08/23
1 item of Media coverage
Press/Media
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How to burn more fat in the gym? Heart rate may be more important than the type of exercise
21/08/23
1 item of Media coverage
Press/Media
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Fat burning during exercise Varies widely between Individual
Wonsuk Oh, Girish Nadkarni, Ryan Walker, Avigdor Arad & Jeanine Albu
19/08/23
1 item of Media coverage
Press/Media
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New Study Calls 'Fat-Burning Zone' on Treadmills Into Question
16/08/23
25 items of Media coverage
Press/Media