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
- The Charles Bronfman Institute for Personalized Medicine
- Institute for Health Equity Research
- Artificial Intelligence and Human Health
- Division of Data-Driven and Digital Medicine
- 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
Person
Research output
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A novel method leveraging time series data to improve subphenotyping and application in critically ill patients with COVID-19
Oh, W., Jayaraman, P., Tandon, P., Chaddha, U. S., Kovatch, P., Charney, A. W., Glicksberg, B. S. & Nadkarni, G. N., Feb 2024, In: Artificial Intelligence in Medicine. 148, 102750.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Applications of large language models in psychiatry: a systematic review
Omar, M., Soffer, S., Charney, A. W., Landi, I., Nadkarni, G. N. & Klang, E., 2024, In: Frontiers in Psychiatry. 15, 1422807.Research output: Contribution to journal › Review article › peer-review
Open Access -
Assessing calibration and bias of a deployed machine learning malnutrition prediction model within a large healthcare system
Liou, L., Scott, E., Parchure, P., Ouyang, Y., Egorova, N., Freeman, R., Hofer, I. S., Nadkarni, G. N., Timsina, P., Kia, A. & Levin, M. A., Dec 2024, In: npj Digital Medicine. 7, 1, 149.Research output: Contribution to journal › Article › peer-review
Open Access -
Clinical associations with treatment resistance in depression: An electronic health record study
Coombes, B. J., Sanchez-Ruiz, J. A., Fennessy, B., Pazdernik, V. K., Adekkanattu, P., Nuñez, N. A., Lepow, L., Melhuish Beaupre, L. M., Ryu, E., Talati, A., Mann, J. J., Weissman, M. M., Olfson, M., Pathak, J., Charney, A. W. & Biernacka, J. M., Dec 2024, In: Psychiatry Research. 342, 116203.Research output: Contribution to journal › Article › peer-review
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Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City
Takkavatakarn, K., Dai, Y., Wen, H. H., Kauffman, J., Charney, A., Coca, S. G., Nadkarni, G. N. & Chan, L., Feb 2024, In: PLoS ONE. 19, 2 February, e0297919.Research output: Contribution to journal › Article › peer-review
Open Access -
Correction to: Divergent landscapes of A-to-I editing in postmortem and living human brain (Nature Communications, (2024), 15, 1, (5366), 10.1038/s41467-024-49268-z)
Rodriguez de los Santos, M., Kopell, B. H., Buxbaum Grice, A., Ganesh, G., Yang, A., Amini, P., Liharska, L. E., Vornholt, E., Fullard, J. F., Dong, P., Park, E., Zipkowitz, S., Kaji, D. A., Thompson, R. C., Liu, D., Park, Y. J., Cheng, E., Ziafat, K., Moya, E. & Fennessy, B. & 19 others, , Dec 2024, In: Nature Communications. 15, 1, 5828.Research output: Contribution to journal › Comment/debate
Open Access -
Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension
Gulamali, F., Jayaraman, P., Sawant, A. S., Desman, J., Fox, B., Chang, A., Soong, B. Y., Arivazagan, N., Reynolds, A. S., Duong, S. Q., Vaid, A., Kovatch, P., Freeman, R., Hofer, I. S., Sakhuja, A., Dangayach, N. S., Reich, D. S., Charney, A. W. & Nadkarni, G. N., Dec 2024, In: npj Digital Medicine. 7, 1, 233.Research output: Contribution to journal › Article › peer-review
Open Access -
Development and Validation of a Deep Learning Classifier Using Chest Radiographs to Predict Extubation Success in Patients Undergoing Invasive Mechanical Ventilation
Tandon, P., Nguyen, K. A. N., Edalati, M., Parchure, P., Raut, G., Reich, D. L., Freeman, R., Levin, M. A., Timsina, P., Powell, C. A., Fayad, Z. A. & Kia, A., Jun 2024, In: Bioengineering. 11, 6, 626.Research output: Contribution to journal › Article › peer-review
Open Access -
Differentiation of Prior SARS-CoV-2 Infection and Postacute Sequelae by Standard Clinical Laboratory Measurements in the RECOVER Cohort
RECOVER-Adult Cohort, Sep 2024, In: Annals of Internal Medicine. 177, 9, p. 1209-1221 13 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Divergent landscapes of A-to-I editing in postmortem and living human brain
Rodriguez de los Santos, M., Kopell, B. H., Buxbaum Grice, A., Ganesh, G., Yang, A., Amini, P., Liharska, L. E., Vornholt, E., Fullard, J. F., Dong, P., Park, E., Zipkowitz, S., Kaji, D. A., Thompson, R. C., Liu, D., Park, Y. J., Cheng, E., Ziafat, K., Moya, E. & Fennessy, B. & 19 others, , Dec 2024, In: Nature Communications. 15, 1, 5366.Research output: Contribution to journal › Article › peer-review
Open Access -
Dopamine and serotonin in human substantia nigra track social context and value signals during economic exchange
Batten, S. R., Bang, D., Kopell, B. H., Davis, A. N., Heflin, M., Fu, Q., Perl, O., Ziafat, K., Hashemi, A., Saez, I., Barbosa, L. S., Twomey, T., Lohrenz, T., White, J. P., Dayan, P., Charney, A. W., Figee, M., Mayberg, H. S., Kishida, K. T. & Gu, X. & 1 others, , Apr 2024, In: Nature Human Behaviour. 8, 4, p. 718-728 11 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations -
Dual-specificity protein phosphatase 6 (DUSP6) overexpression reduces amyloid load and improves memory deficits in male 5xFAD mice
Pan, A. L., Audrain, M., Sakakibara, E., Joshi, R., Zhu, X., Wang, Q., Wang, M., Beckmann, N. D., Schadt, E. E., Gandy, S., Zhang, B., Ehrlich, M. E. & Salton, S. R., 2024, In: Frontiers in Aging Neuroscience. 16, 1400447.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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Study Results from Icahn School of Medicine at Mount Sinai Provide New Insights into Intracranial Hypertension (Derivation, external and clinical validation of a deep learning approach for detecting intracranial hypertension)
Jayaraman, P., Nadkarni, G., Kovatch, P., Charney, A., Dangayach, N., Reynolds, A., Duong, S. Q., Hofer, I. & Sakhuja, A.
24/09/24
1 item of Media coverage
Press/Media
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New Long QT Syndrome Study Results from Icahn School of Medicine at Mount Sinai Described (Multimodal fusion learning for long QT syndrome pathogenic genotypes in a racially diverse population)
Jayaraman, P., Reddy, V. Y., Kovatch, P., Do, R. & Charney, A.
9/09/24
1 item of Media coverage
Press/Media
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AI Detects Intracranial Hypertension Without Invasive Procedures
Jayaraman, P., Nadkarni, G., Kovatch, P., Reich, D., Charney, A., Dangayach, N., Reynolds, A., Duong, S. Q., Hofer, I. & Sakhuja, A.
6/09/24
1 item of Media coverage
Press/Media
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Mount Sinai Health System: New AI-Driven Tool Could Revolutionize Brain Pressure Monitoring in Intensive Care Patients
Jayaraman, P., Nadkarni, G., Kovatch, P., Reich, D., Charney, A., Dangayach, N., Reynolds, A., Duong, S. Q., Hofer, I. & Sakhuja, A.
6/09/24
1 item of Media coverage
Press/Media
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New AI-Driven Tool Could Revolutionize Brain Pressure Monitoring in Intensive Care Patients
Jayaraman, P., Nadkarni, G., Kovatch, P., Reich, D., Charney, A., Dangayach, N., Reynolds, A., Duong, S. Q., Hofer, I. & Sakhuja, A.
5/09/24
2 items of Media coverage
Press/Media
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AI Tool May Transform Brain Pressure Monitoring in ICU
Jayaraman, P., Nadkarni, G., Kovatch, P., Reich, D., Charney, A., Dangayach, N., Reynolds, A., Duong, S. Q., Hofer, I. & Sakhuja, A.
5/09/24
1 item of Media coverage
Press/Media
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Mount Sinai Health System: New AI-Driven Tool Could Revolutionize Brain Pressure Monitoring in Intensive Care Patients
Jayaraman, P., Nadkarni, G., Kovatch, P., Charney, A., Dangayach, N., Reynolds, A., Duong, S. Q., Hofer, I. & Sakhuja, A.
5/09/24
1 item of Media coverage
Press/Media
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Icahn School of Medicine at Mount Sinai Researchers Release New Data on Amyloid [Dual-specificity protein phosphatase 6 (DUSP6) overexpression reduces amyloid load and improves memory deficits in male 5xFAD mice]
Beckmann, N., Wang, Q., Schadt, E., Wang, M., Ehrlich, M. & Gandy, S.
15/07/24
1 item of Media coverage
Press/Media
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Scientists discover what our brain does after death and how long we remain conscious
11/07/24
1 item of Media coverage
Press/Media
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New study uncovers strange changes in the human brain at the moment of death
5/07/24
1 item of Media coverage
Press/Media
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Brain of humans goes through significant change after death: Study
3/07/24
1 item of Media coverage
Press/Media
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Brain of humans go through significant change after death: study
2/07/24
1 item of Media coverage
Press/Media