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| http://dx.doi.org/10.4103/joacp.JOACP_378_19 | DOI Listing |
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A prospectively deployed deep learning-enabled automated quality assurance tool for oncological palliative spine radiation therapy.
Lancet Digit Health
January 2025
Department of Radiation Oncology, Brigham and Women's Hospital, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA; Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA. Electronic address:
Background: Palliative spine radiation therapy is prone to treatment at the wrong anatomic level. We developed a fully automated deep learning-based spine-targeting quality assurance system (DL-SpiQA) for detecting treatment at the wrong anatomic level. DL-SpiQA was evaluated based on retrospective testing of spine radiation therapy treatments and prospective clinical deployment.
View Article and Find Full Text PDFImpacts of long-term irrigation of municipally-treated wastewater to the soil microbial and nutrient properties.
Sci Total Environ
December 2024
School of the Environment, Florida A&M University, Tallahassee, FL, United States of America.
Reusing treated wastewater (TWW) for crop irrigation has shown to provide environmental and economic benefits as well as drawbacks. This study was conducted using soils collected from a wastewater reuse facility in Tallahassee, FL, mainly to elucidate the long-term impact(s) of TWW irrigation on soil microbiome and nutrient status. Approximately 890 ha of land have been spray-irrigated with TWW since the 1980's to grow fodder crops.
View Article and Find Full Text PDFAnatomy-centred deep learning improves generalisability and progression prediction in radiographic sacroiliitis detection.
RMD Open
December 2024
Department of Gastroenterology, Infectious Diseases and Rheumatology (incl. Nutrition Medicine), Charite - Universitatsmedizin Berlin, Berlin, Germany.
Purpose: To examine whether incorporating anatomy-centred deep learning can improve generalisability and enable prediction of disease progression.
Methods: This retrospective multicentre study included conventional pelvic radiographs of four different patient cohorts focusing on axial spondyloarthritis collected at university and community hospitals. The first cohort, which consisted of 1483 radiographs, was split into training (n=1261) and validation (n=222) sets.
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Photodiagnosis Photodyn Ther
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School of Computer Science and Engineering, Vellore Institute of Technology, Chennai. Electronic address:
Age-related Macular Degeneration (AMD) is a leading cause of visual impairment and blindness that affects the eye from the age of fifty-five and older. It impacts on the retina, the light-sensitive layer of the eye. In early AMD, yellowish deposits called drusen, form under the retina, which could result in distortion and gradual blurring of vision.
View Article and Find Full Text PDFAdvances in magnetic resonance imaging (MRI) have revolutionized disease detection and treatment planning. However, as the volume and complexity of MRI data grow with increasing heterogeneity between institutions in imaging protocol, scanner technology, and data labeling, there is a need for a standardized methodology to efficiently identify, characterize, and label MRI sequences. Such a methodology is crucial for advancing research efforts that incorporate MRI data from diverse populations to develop robust machine learning models.
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