Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Blankemeier, Louis"'
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:
Ostmeier, Sophie, Xu, Justin, Chen, Zhihong, Varma, Maya, Blankemeier, Louis, Bluethgen, Christian, Michalson, Arne Edward, Moseley, Michael, Langlotz, Curtis, Chaudhari, Akshay S, Delbrouck, Jean-Benoit
Evaluating radiology reports is a challenging problem as factual correctness is extremely important due to the need for accurate medical communication about medical images. Existing automatic evaluation metrics either suffer from failing to consider
Externí odkaz:
http://arxiv.org/abs/2405.03595
Autor:
Baur, Sebastien, Nabulsi, Zaid, Weng, Wei-Hung, Garrison, Jake, Blankemeier, Louis, Fishman, Sam, Chen, Christina, Kakarmath, Sujay, Maimbolwa, Minyoi, Sanjase, Nsala, Shuma, Brian, Matias, Yossi, Corrado, Greg S., Patel, Shwetak, Shetty, Shravya, Prabhakara, Shruthi, Muyoyeta, Monde, Ardila, Diego
Health acoustic sounds such as coughs and breaths are known to contain useful health signals with significant potential for monitoring health and disease, yet are underexplored in the medical machine learning community. The existing deep learning sys
Externí odkaz:
http://arxiv.org/abs/2403.02522
Autor:
Chen, Zhihong, Varma, Maya, Delbrouck, Jean-Benoit, Paschali, Magdalini, Blankemeier, Louis, Van Veen, Dave, Valanarasu, Jeya Maria Jose, Youssef, Alaa, Cohen, Joseph Paul, Reis, Eduardo Pontes, Tsai, Emily B., Johnston, Andrew, Olsen, Cameron, Abraham, Tanishq Mathew, Gatidis, Sergios, Chaudhari, Akshay S., Langlotz, Curtis
Chest X-rays (CXRs) are the most frequently performed imaging test in clinical practice. Recent advances in the development of vision-language foundation models (FMs) give rise to the possibility of performing automated CXR interpretation, which can
Externí odkaz:
http://arxiv.org/abs/2401.12208
Models driven by spurious correlations often yield poor generalization performance. We propose the counterfactual alignment method to detect and explore spurious correlations of black box classifiers. Counterfactual images generated with respect to o
Externí odkaz:
http://arxiv.org/abs/2312.02186
Autor:
Van Veen, Dave, Van Uden, Cara, Blankemeier, Louis, Delbrouck, Jean-Benoit, Aali, Asad, Bluethgen, Christian, Pareek, Anuj, Polacin, Malgorzata, Reis, Eduardo Pontes, Seehofnerova, Anna, Rohatgi, Nidhi, Hosamani, Poonam, Collins, William, Ahuja, Neera, Langlotz, Curtis P., Hom, Jason, Gatidis, Sergios, Pauly, John, Chaudhari, Akshay S.
Publikováno v:
Nature Medicine, 2024
Analyzing vast textual data and summarizing key information from electronic health records imposes a substantial burden on how clinicians allocate their time. Although large language models (LLMs) have shown promise in natural language processing (NL
Externí odkaz:
http://arxiv.org/abs/2309.07430
Autor:
Blankemeier, Louis, Baur, Sebastien, Weng, Wei-Hung, Garrison, Jake, Matias, Yossi, Prabhakara, Shruthi, Ardila, Diego, Nabulsi, Zaid
Health-related acoustic signals, such as cough and breathing sounds, are relevant for medical diagnosis and continuous health monitoring. Most existing machine learning approaches for health acoustics are trained and evaluated on specific tasks, limi
Externí odkaz:
http://arxiv.org/abs/2309.05843
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
Autor:
Blankemeier, Louis, Desai, Arjun, Chaves, Juan Manuel Zambrano, Wentland, Andrew, Yao, Sally, Reis, Eduardo, Jensen, Malte, Bahl, Bhanushree, Arora, Khushboo, Patel, Bhavik N., Lenchik, Leon, Willis, Marc, Boutin, Robert D., Chaudhari, Akshay S.
Computed tomography (CT) is routinely used in clinical practice to evaluate a wide variety of medical conditions. While CT scans provide diagnoses, they also offer the ability to extract quantitative body composition metrics to analyze tissue volume
Externí odkaz:
http://arxiv.org/abs/2302.06568
Autor:
Zambrano Chaves, Juan M., Lenchik, Leon, Gallegos, Isabel O., Blankemeier, Louis, Liang, Tie, Rubin, Daniel L., Willis, Marc H., Chaudhari, Akshay S., Boutin, Robert D.
Publikováno v:
In eBioMedicine May 2024 103