Zobrazeno 1 - 10
of 170
pro vyhledávání: '"Bhargava Reddy"'
Publikováno v:
JMIR Formative Research, Vol 8, p e55641 (2024)
BackgroundArtificial intelligence (AI) based computer-aided detection devices are recommended for screening and triaging of pulmonary tuberculosis (TB) using digital chest x-ray (CXR) images (soft copies). Most AI algorithms are trained using input d
Externí odkaz:
https://doaj.org/article/1e182aee92be4ab9b6b8d046ac50bee4
Autor:
Bilal Mirza, Xinyang Li, Kris Lauwers, Bhargava Reddy, Anja Muller, Craig Wozniak, Sina Djali
Publikováno v:
Healthcare Analytics, Vol 3, Iss , Pp 100159- (2023)
In clinical trial monitoring, substantial resources are allocated to perform source data verification (SDV). SDV ensures accurate and reliable transcription of trial participant information. Clinical site visits are typically scheduled at a fixed fre
Externí odkaz:
https://doaj.org/article/ce6457d4fa954964a8b9eb444ce50f60
Publikováno v:
Ķazaķstannyṇ Klinikalyķ Medicinasy, Vol 20, Iss 2, Pp 15-19 (2023)
Introduction: Benign Prostatic Hyperplasia (BPH) is one of the most frequent diseases in men. The laser treatment for BPH has challenged TURP due to advances in laser technology, a better understanding of tissue-laser interactions and rowing clinical
Externí odkaz:
https://doaj.org/article/c6960cdf76ec4a39b0e655ca0f93a068
Autor:
Sarah R. Blake, Neelanjan Das, Manoj Tadepalli, Bhargava Reddy, Anshul Singh, Rohitashva Agrawal, Subhankar Chattoraj, Dhruv Shah, Preetham Putha
Publikováno v:
Diagnostics, Vol 13, Iss 22, p 3408 (2023)
Background: The chest radiograph (CXR) is the most frequently performed radiological examination worldwide. The increasing volume of CXRs performed in hospitals causes reporting backlogs and increased waiting times for patients, potentially compromis
Externí odkaz:
https://doaj.org/article/34be6b703534480a8f1fe5cac705c62c
Autor:
Vijetha Devaram, Shiny Priyadarshini Arumulla, Jayanth Midathala, Bhargava Reddy, Sukanya Mallela, Krishna Chaitanya, Hari Prasad
Publikováno v:
Медицина болю, Vol 7, Iss 4 (2023)
Background: percutaneous nephrolithotomy (PCNL) is a minimally invasive surgery to treat renal stones. Post-operative pain is distressing to the patient due to the injury to the capsule. Efficacy of ultrasound-guided thoracic paravertebral block at m
Externí odkaz:
https://doaj.org/article/76e1c3e38314479bb0a35f4bb60054fe
Publikováno v:
Asian Journal of Medical Sciences, Vol 12, Iss 11, Pp 125-132 (2021)
Background: Benign prostatic hyperplasia (BPH) is a common disease in elderly men. Monopolar transurethral resection of prostate (M-TURP) is considered the gold standard for the treatment of bladder outlet obstruction due to BPH. Its modification, bi
Externí odkaz:
https://doaj.org/article/ca36156a2c364be2a0a5f1794189ffb2
Autor:
Arunkumar Govindarajan, Aarthi Govindarajan, Swetha Tanamala, Subhankar Chattoraj, Bhargava Reddy, Rohitashva Agrawal, Divya Iyer, Anumeha Srivastava, Pradeep Kumar, Preetham Putha
Publikováno v:
Diagnostics, Vol 12, Iss 11, p 2724 (2022)
In medical practice, chest X-rays are the most ubiquitous diagnostic imaging tests. However, the current workload in extensive health care facilities and lack of well-trained radiologists is a significant challenge in the patient care pathway. Theref
Externí odkaz:
https://doaj.org/article/5c1bd2c357db4ba699ecf7a75e27e064
Publikováno v:
MicrobiologyOpen, Vol 10, Iss 4, Pp n/a-n/a (2021)
Abstract The expanding knowledge of the variety of synthetic genetic elements has enabled the construction of new and more efficient genetic circuits and yielded novel insights into molecular mechanisms. However, context dependence, in which interact
Externí odkaz:
https://doaj.org/article/ad108819cafd4b88ab6a176e084710d6
Autor:
Parisa Kaviani, Mannudeep K. Kalra, Subba R. Digumarthy, Reya V. Gupta, Giridhar Dasegowda, Ammar Jagirdar, Salil Gupta, Preetham Putha, Vidur Mahajan, Bhargava Reddy, Vasanth K. Venugopal, Manoj Tadepalli, Bernardo C. Bizzo, Keith J. Dreyer
Publikováno v:
Diagnostics, Vol 12, Iss 10, p 2382 (2022)
Background: Missed findings in chest X-ray interpretation are common and can have serious consequences. Methods: Our study included 2407 chest radiographs (CXRs) acquired at three Indian and five US sites. To identify CXRs reported as normal, we used
Externí odkaz:
https://doaj.org/article/0ecdb3ec072f41f2936863b72b0b645e
Autor:
Parisa Kaviani, Subba R. Digumarthy, Bernardo C. Bizzo, Bhargava Reddy, Manoj Tadepalli, Preetham Putha, Ammar Jagirdar, Shadi Ebrahimian, Mannudeep K. Kalra, Keith J. Dreyer
Publikováno v:
Diagnostics, Vol 12, Iss 9, p 2086 (2022)
Purpose: We assessed whether a CXR AI algorithm was able to detect missed or mislabeled chest radiograph (CXR) findings in radiology reports. Methods: We queried a multi-institutional radiology reports search database of 13 million reports to identif
Externí odkaz:
https://doaj.org/article/7c39e60788664f5f9392e61e06a35e01