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» Authors » Preetham Putha

Preetham Putha

Explore the profile of Preetham Putha including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 7
Citations 121
Followers 0
Related Specialties
Radiology
Science
General Medicine
Top 10 Co-Authors
Mannudeep K Kalra
Subba R Digumarthy
Bhargava Reddy
Manoj Tadepalli
Keith J Dreyer
Bernardo C Bizzo
Parisa Kaviani
Fatemeh Homayounieh
Shadi Ebrahimian
Rohitashva Agrawal
Published In
Diagnostics (Basel)
PLoS One
Sci Rep
Affiliations
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Recent Articles
1.
Early Detection of Heart Failure with Autonomous AI-Based Model Using Chest Radiographs: A Multicenter Study
Garza-Frias E, Kaviani P, Karout L, Fahimi R, Hosseini S, Putha P, et al.
Diagnostics (Basel) . 2024 Aug; 14(15). PMID: 39125511
The opportunistic use of radiological examinations for disease detection can potentially enable timely management. We assessed if an index created by an AI software to quantify chest radiography (CXR) findings...
2.
Using Artificial Intelligence to Stratify Normal versus Abnormal Chest X-rays: External Validation of a Deep Learning Algorithm at East Kent Hospitals University NHS Foundation Trust
Blake S, Das N, Tadepalli M, Reddy B, Singh A, Agrawal R, et al.
Diagnostics (Basel) . 2023 Nov; 13(22). PMID: 37998543
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...
3.
Role of an Automated Deep Learning Algorithm for Reliable Screening of Abnormality in Chest Radiographs: A Prospective Multicenter Quality Improvement Study
Govindarajan A, Govindarajan A, Tanamala S, Chattoraj S, Reddy B, Agrawal R, et al.
Diagnostics (Basel) . 2022 Nov; 12(11). PMID: 36359565
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...
4.
Frequency of Missed Findings on Chest Radiographs (CXRs) in an International, Multicenter Study: Application of AI to Reduce Missed Findings
Kaviani P, Kalra M, Digumarthy S, Gupta R, Dasegowda G, Jagirdar A, et al.
Diagnostics (Basel) . 2022 Oct; 12(10). PMID: 36292071
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....
5.
Performance of a Chest Radiography AI Algorithm for Detection of Missed or Mislabeled Findings: A Multicenter Study
Kaviani P, Digumarthy S, Bizzo B, Reddy B, Tadepalli M, Putha P, et al.
Diagnostics (Basel) . 2022 Sep; 12(9). PMID: 36140488
: We assessed whether a CXR AI algorithm was able to detect missed or mislabeled chest radiograph (CXR) findings in radiology reports. : We queried a multi-institutional radiology reports search...
6.
Artificial intelligence matches subjective severity assessment of pneumonia for prediction of patient outcome and need for mechanical ventilation: a cohort study
Ebrahimian S, Homayounieh F, Rockenbach M, Putha P, Raj T, Dayan I, et al.
Sci Rep . 2021 Jan; 11(1):858. PMID: 33441578
To compare the performance of artificial intelligence (AI) and Radiographic Assessment of Lung Edema (RALE) scores from frontal chest radiographs (CXRs) for predicting patient outcomes and the need for mechanical...
7.
Deep learning in chest radiography: Detection of findings and presence of change
Singh R, Kalra M, Nitiwarangkul C, Patti J, Homayounieh F, Padole A, et al.
PLoS One . 2018 Oct; 13(10):e0204155. PMID: 30286097
Background: Deep learning (DL) based solutions have been proposed for interpretation of several imaging modalities including radiography, CT, and MR. For chest radiographs, DL algorithms have found success in the...