Zobrazeno 1 - 10
of 849
pro vyhledávání: '"Shah, Nigam H"'
Autor:
Steinberg, Ethan, Wornow, Michael, Bedi, Suhana, Fries, Jason Alan, McDermott, Matthew B. A., Shah, Nigam H.
The growing demand for machine learning in healthcare requires processing increasingly large electronic health record (EHR) datasets, but existing pipelines are not computationally efficient or scalable. In this paper, we introduce meds_reader, an op
Externí odkaz:
http://arxiv.org/abs/2409.09095
Autor:
Low, Yen Sia, Jackson, Michael L., Hyde, Rebecca J., Brown, Robert E., Sanghavi, Neil M., Baldwin, Julian D., Pike, C. William, Muralidharan, Jananee, Hui, Gavin, Alexander, Natasha, Hassan, Hadeel, Nene, Rahul V., Pike, Morgan, Pokrzywa, Courtney J., Vedak, Shivam, Yan, Adam Paul, Yao, Dong-han, Zipursky, Amy R., Dinh, Christina, Ballentine, Philip, Derieg, Dan C., Polony, Vladimir, Chawdry, Rehan N., Davies, Jordan, Hyde, Brigham B., Shah, Nigam H., Gombar, Saurabh
Evidence to guide healthcare decisions is often limited by a lack of relevant and trustworthy literature as well as difficulty in contextualizing existing research for a specific patient. Large language models (LLMs) could potentially address both ch
Externí odkaz:
http://arxiv.org/abs/2407.00541
Autor:
Wornow, Michael, Narayan, Avanika, Viggiano, Ben, Khare, Ishan S., Verma, Tathagat, Thompson, Tibor, Hernandez, Miguel Angel Fuentes, Sundar, Sudharsan, Trujillo, Chloe, Chawla, Krrish, Lu, Rongfei, Shen, Justin, Nagaraj, Divya, Martinez, Joshua, Agrawal, Vardhan, Hudson, Althea, Shah, Nigam H., Re, Christopher
Existing ML benchmarks lack the depth and diversity of annotations needed for evaluating models on business process management (BPM) tasks. BPM is the practice of documenting, measuring, improving, and automating enterprise workflows. However, resear
Externí odkaz:
http://arxiv.org/abs/2406.13264
Autor:
Blankemeier, Louis, Cohen, Joseph Paul, Kumar, Ashwin, Van Veen, Dave, Gardezi, Syed Jamal Safdar, Paschali, Magdalini, Chen, Zhihong, Delbrouck, Jean-Benoit, Reis, Eduardo, Truyts, Cesar, Bluethgen, Christian, Jensen, Malte Engmann Kjeldskov, Ostmeier, Sophie, Varma, Maya, Valanarasu, Jeya Maria Jose, Fang, Zhongnan, Huo, Zepeng, Nabulsi, Zaid, Ardila, Diego, Weng, Wei-Hung, Junior, Edson Amaro, Ahuja, Neera, Fries, Jason, Shah, Nigam H., Johnston, Andrew, Boutin, Robert D., Wentland, Andrew, Langlotz, Curtis P., Hom, Jason, Gatidis, Sergios, Chaudhari, Akshay S.
Over 85 million computed tomography (CT) scans are performed annually in the US, of which approximately one quarter focus on the abdomen. Given the current radiologist shortage, there is a large impetus to use artificial intelligence to alleviate the
Externí odkaz:
http://arxiv.org/abs/2406.06512
Autor:
Wornow, Michael, Narayan, Avanika, Opsahl-Ong, Krista, McIntyre, Quinn, Shah, Nigam H., Re, Christopher
Automating enterprise workflows could unlock $4 trillion/year in productivity gains. Despite being of interest to the data management community for decades, the ultimate vision of end-to-end workflow automation has remained elusive. Current solutions
Externí odkaz:
http://arxiv.org/abs/2405.03710
Autor:
Callahan, Alison, McElfresh, Duncan, Banda, Juan M., Bunney, Gabrielle, Char, Danton, Chen, Jonathan, Corbin, Conor K., Dash, Debadutta, Downing, Norman L., Jain, Sneha S., Kotecha, Nikesh, Masterson, Jonathan, Mello, Michelle M., Morse, Keith, Nallan, Srikar, Pandya, Abby, Revri, Anurang, Sharma, Aditya, Sharp, Christopher, Thapa, Rahul, Wornow, Michael, Youssef, Alaa, Pfeffer, Michael A., Shah, Nigam H.
The impact of using artificial intelligence (AI) to guide patient care or operational processes is an interplay of the AI model's output, the decision-making protocol based on that output, and the capacity of the stakeholders involved to take the nec
Externí odkaz:
http://arxiv.org/abs/2403.07911
Autor:
Wornow, Michael, Lozano, Alejandro, Dash, Dev, Jindal, Jenelle, Mahaffey, Kenneth W., Shah, Nigam H.
Matching patients to clinical trials is a key unsolved challenge in bringing new drugs to market. Today, identifying patients who meet a trial's eligibility criteria is highly manual, taking up to 1 hour per patient. Automated screening is challengin
Externí odkaz:
http://arxiv.org/abs/2402.05125
Autor:
Huang, Shih-Cheng, Huo, Zepeng, Steinberg, Ethan, Chiang, Chia-Chun, Lungren, Matthew P., Langlotz, Curtis P., Yeung, Serena, Shah, Nigam H., Fries, Jason A.
Synthesizing information from multiple data sources plays a crucial role in the practice of modern medicine. Current applications of artificial intelligence in medicine often focus on single-modality data due to a lack of publicly available, multimod
Externí odkaz:
http://arxiv.org/abs/2311.10798
Publikováno v:
JMIR mHealth and uHealth, Vol 6, Iss 12, p e11315 (2018)
BackgroundClinical assessments for physical function do not objectively quantify routine daily activities. Wearable activity monitors (WAMs) enable objective measurement of daily activities, but it remains unclear how these map to clinically measured
Externí odkaz:
https://doaj.org/article/fc74cac6cd2a49dea66bba7f4ff6d994
Autor:
Fleming, Scott L., Lozano, Alejandro, Haberkorn, William J., Jindal, Jenelle A., Reis, Eduardo P., Thapa, Rahul, Blankemeier, Louis, Genkins, Julian Z., Steinberg, Ethan, Nayak, Ashwin, Patel, Birju S., Chiang, Chia-Chun, Callahan, Alison, Huo, Zepeng, Gatidis, Sergios, Adams, Scott J., Fayanju, Oluseyi, Shah, Shreya J., Savage, Thomas, Goh, Ethan, Chaudhari, Akshay S., Aghaeepour, Nima, Sharp, Christopher, Pfeffer, Michael A., Liang, Percy, Chen, Jonathan H., Morse, Keith E., Brunskill, Emma P., Fries, Jason A., Shah, Nigam H.
The ability of large language models (LLMs) to follow natural language instructions with human-level fluency suggests many opportunities in healthcare to reduce administrative burden and improve quality of care. However, evaluating LLMs on realistic
Externí odkaz:
http://arxiv.org/abs/2308.14089