Zobrazeno 1 - 10
of 704
pro vyhledávání: '"N. Nadkarni"'
Autor:
Faris Gulamali, Pushkala Jayaraman, Ashwin S. Sawant, Jacob Desman, Benjamin Fox, Annette Chang, Brian Y. Soong, Naveen Arivazagan, Alexandra S. Reynolds, Son Q. Duong, Akhil Vaid, Patricia Kovatch, Robert Freeman, Ira S. Hofer, Ankit Sakhuja, Neha S. Dangayach, David S. Reich, Alexander W. Charney, Girish N. Nadkarni
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract Increased intracranial pressure (ICP) ≥15 mmHg is associated with adverse neurological outcomes, but needs invasive intracranial monitoring. Using the publicly available MIMIC-III Waveform Database (2000–2013) from Boston, we developed a
Externí odkaz:
https://doaj.org/article/8d9fbb73568949159dfb9737079a6077
Autor:
Dhavalkumar Patel, Ganesh Raut, Eyal Zimlichman, Satya Narayan Cheetirala, Girish N Nadkarni, Benjamin S. Glicksberg, Donald U. Apakama, Elijah J. Bell, Robert Freeman, Prem Timsina, Eyal Klang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract This study was designed to assess how different prompt engineering techniques, specifically direct prompts, Chain of Thought (CoT), and a modified CoT approach, influence the ability of GPT-3.5 to answer clinical and calculation-based medica
Externí odkaz:
https://doaj.org/article/0ec337c7b65e4235a13500d8ea050f4a
Autor:
Miguel Rodriguez de los Santos, Brian H. Kopell, Ariela Buxbaum Grice, Gauri Ganesh, Andy Yang, Pardis Amini, Lora E. Liharska, Eric Vornholt, John F. Fullard, Pengfei Dong, Eric Park, Sarah Zipkowitz, Deepak A. Kaji, Ryan C. Thompson, Donjing Liu, You Jeong Park, Esther Cheng, Kimia Ziafat, Emily Moya, Brian Fennessy, Lillian Wilkins, Hannah Silk, Lisa M. Linares, Brendan Sullivan, Vanessa Cohen, Prashant Kota, Claudia Feng, Jessica S. Johnson, Marysia-Kolbe Rieder, Joseph Scarpa, Girish N. Nadkarni, Minghui Wang, Bin Zhang, Pamela Sklar, Noam D. Beckmann, Eric E. Schadt, Panos Roussos, Alexander W. Charney, Michael S. Breen
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-15 (2024)
Abstract Adenosine-to-inosine (A-to-I) editing is a prevalent post-transcriptional RNA modification within the brain. Yet, most research has relied on postmortem samples, assuming it is an accurate representation of RNA biology in the living brain. W
Externí odkaz:
https://doaj.org/article/da9c46017e36443fb5aa615c25a1975d
Autor:
Lathan Liou, Erick Scott, Prathamesh Parchure, Yuxia Ouyang, Natalia Egorova, Robert Freeman, Ira S. Hofer, Girish N. Nadkarni, Prem Timsina, Arash Kia, Matthew A. Levin
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-7 (2024)
Abstract Malnutrition is a frequently underdiagnosed condition leading to increased morbidity, mortality, and healthcare costs. The Mount Sinai Health System (MSHS) deployed a machine learning model (MUST-Plus) to detect malnutrition upon hospital ad
Externí odkaz:
https://doaj.org/article/5aac2935948f402294eaf43cbf6878bf
Publikováno v:
PLOS Digital Health, Vol 3, Iss 11, p e0000662 (2024)
This review analyzes current clinical trials investigating large language models' (LLMs) applications in healthcare. We identified 27 trials (5 published and 22 ongoing) across 4 main clinical applications: patient care, data handling, decision suppo
Externí odkaz:
https://doaj.org/article/dea632e5837f453b92c95f04aa2b3e04
Publikováno v:
JMIR Medical Informatics, Vol 12, Pp e57124-e57124 (2024)
Abstract BackgroundSocial determinants of health (SDOH) are critical drivers of health disparities and patient outcomes. However, accessing and collecting patient-level SDOH data can be operationally challenging in the emergency department (ED) clin
Externí odkaz:
https://doaj.org/article/2387e68ff8a34c9689ac1c19a4f674e4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Chronic kidney disease (CKD) is a complex disorder that causes a gradual loss of kidney function, affecting approximately 9.1% of the world's population. Here, we use a soft-clustering algorithm to deconstruct its genetic heterogeneity. Firs
Externí odkaz:
https://doaj.org/article/b75974ffa9ce437ca33061c4fc0d8d06
Autor:
Mahmud Omar, Shelly Soffer, Alexander W. Charney, Isotta Landi, Girish N. Nadkarni, Eyal Klang
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
BackgroundWith their unmatched ability to interpret and engage with human language and context, large language models (LLMs) hint at the potential to bridge AI and human cognitive processes. This review explores the current application of LLMs, such
Externí odkaz:
https://doaj.org/article/d9e1dd773a334da983bfae6ba1f3cfd4
Publikováno v:
BMC Nephrology, Vol 24, Iss 1, Pp 1-10 (2023)
Abstract Introduction End-stage kidney disease (ESKD) is associated with increased morbidity and mortality. Identifying patients with stage 4 CKD (CKD4) at risk of rapid progression to ESKD remains challenging. Accurate prediction of CKD4 progression
Externí odkaz:
https://doaj.org/article/613859e75f8e47d1a6cf0b6e15c307ca
Autor:
Sai Nikhila Ghanta, Subhi J. Al’Aref, Anuradha Lala-Trinidade, Girish N. Nadkarni, Sarju Ganatra, Sourbha S. Dani, Jawahar L. Mehta
Publikováno v:
Diagnostics, Vol 14, Iss 21, p 2393 (2024)
Heart failure (HF) is a leading cause of mortality, morbidity, and financial burden worldwide. The emergence of advanced artificial intelligence (AI) technologies, particularly Generative Pre-trained Transformer (GPT) systems, presents new opportunit
Externí odkaz:
https://doaj.org/article/09ee92de1afa42f9940c2b16bc774b40