Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Adithan Subathra"'
Accurately interpreting medical images and writing radiology reports is a critical but challenging task in healthcare. Both human-written and AI-generated reports can contain errors, ranging from clinical inaccuracies to linguistic mistakes. To addre
Externí odkaz:
http://arxiv.org/abs/2409.10829
Recent advances in generative vision-language models (VLMs) have exciting potential implications for AI in radiology, yet VLMs are also known to produce hallucinations, nonsensical text, and other unwanted behaviors that can waste clinicians' time an
Externí odkaz:
http://arxiv.org/abs/2406.06496
Current medical artificial intelligence systems are often limited to narrow applications, hindering their widespread adoption in clinical practice. To address this limitation, we propose MedVersa, a generalist learner that enables flexible learning a
Externí odkaz:
http://arxiv.org/abs/2405.07988
Autor:
Yan, Benjamin, Liu, Ruochen, Kuo, David E., Adithan, Subathra, Reis, Eduardo Pontes, Kwak, Stephen, Venugopal, Vasantha Kumar, O'Connell, Chloe P., Saenz, Agustina, Rajpurkar, Pranav, Moor, Michael
Automatically generated reports from medical images promise to improve the workflow of radiologists. Existing methods consider an image-to-report modeling task by directly generating a fully-fledged report from an image. However, this conflates the c
Externí odkaz:
http://arxiv.org/abs/2310.17811
Autor:
Jeong, Jaehwan, Tian, Katherine, Li, Andrew, Hartung, Sina, Behzadi, Fardad, Calle, Juan, Osayande, David, Pohlen, Michael, Adithan, Subathra, Rajpurkar, Pranav
Publikováno v:
Medical Imaging with Deep Learning 2023
Automated generation of clinically accurate radiology reports can improve patient care. Previous report generation methods that rely on image captioning models often generate incoherent and incorrect text due to their lack of relevant domain knowledg
Externí odkaz:
http://arxiv.org/abs/2303.17579
Autor:
Adithan Subathra, Venkatesan Bhuvaneswari, Sundarajan Elangovan, Kate Vikram, Kalayarasan Raja
Publikováno v:
Indian Journal of Radiology and Imaging, Vol 20, Iss 4, Pp 289-293 (2010)
Aim: The purpose of this study was to assess the value of Doppler evaluation of left gastric vein hemodynamics when monitoring portal hypertension patients, by correlating Doppler ultrasonography (USG) parameters with the severity of esophageal varic
Externí odkaz:
https://doaj.org/article/ca6fabacffb44ef5adeeca8422d68d9b
Autor:
Gopal, Vishnu, Nisha, Yadav, Ganesan, Prasanth, Kayal, Smita, Bobby, Zachariah, Adithan, Subathra, Penumadu, Prasanth, Ramakrishnalay, Vishnu P., Bandlamudi, Bhanu P., Bahttacharjee, Arnab, Dahagama, Sindhu, Dubashi, Biswajit
Publikováno v:
Journal of Cancer Research & Therapeutics; Jul-Sep2024, Vol. 20 Issue 5, p1412-1419, 8p
Autor:
Bharath, Jayaram, Amuthabharathi, Mohan, Sivasubramaniyan, Kulumani M., Adithan, Subathra, Narayan, Sunil K., Sunitha, Vellathussery C., Nagarajan, Krishnan
Publikováno v:
Journal of Neurosciences in Rural Practice; Apr-Jun2024, Vol. 15 Issue 2, p300-306, 7p
Calyx to Parenchymal Ratio (CPR): An unexplored tool and its utility in the follow-up of pyeloplasty
Autor:
Gharpure, Ketaki V., Jindal, Bibekanand, Naredi, Bikash Kumar, Krishnamurthy, Sriram, Dhanapathi, H., Adithan, Subathra, Kumaravel, S., Govindarajan, K.K.
Publikováno v:
In Journal of Pediatric Urology April 2021 17(2):234-234
Autor:
Mohan, Amutha Bharathi1 (AUTHOR), Adithan, Subathra1,2 (AUTHOR) subathra26@gmail.com, Narayan, Sunil3 (AUTHOR), Krishnan, Nagarajan1 (AUTHOR), Mathews, Donna3,4 (AUTHOR)
Publikováno v:
Indian Journal of Radiology & Imaging. r2021, Vol. 31 Issue 2, p297-303. 7p.