AIMC Topic: Prospective Studies
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Deep learning-based prediction model for postoperative complications of cervical posterior longitudinal ligament ossification.
European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
Feb 6, 2023
PURPOSE: Postoperative complication prediction helps surgeons to inform and manage patient expectations. Deep learning, a model that finds patterns in large samples of data, outperform traditional statistical methods in making predictions. This study...
Sensing and Automation Technologies for Ornamental Nursery Crop Production: Current Status and Future Prospects.
Sensors (Basel, Switzerland)
Feb 6, 2023
The ornamental crop industry is an important contributor to the economy in the United States. The industry has been facing challenges due to continuously increasing labor and agricultural input costs. Sensing and automation technologies have been int...
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry.
Science advances
Feb 1, 2023
Every year, millions of brain magnetic resonance imaging (MRI) scans are acquired in hospitals across the world. These have the potential to revolutionize our understanding of many neurological diseases, but their morphometric analysis has not yet be...
Using Haplotype-Based Artificial Intelligence to Evaluate SARS-CoV-2 Novel Variants and Mutations.
JAMA network open
Feb 1, 2023
IMPORTANCE: Earlier detection of emerging novel SARS-COV-2 variants is important for public health surveillance of potential viral threats and for earlier prevention research. Artificial intelligence may facilitate early detection of SARS-CoV2 emergi...
Comparison of Chest Radiograph Captions Based on Natural Language Processing vs Completed by Radiologists.
JAMA network open
Feb 1, 2023
IMPORTANCE: Artificial intelligence (AI) can interpret abnormal signs in chest radiography (CXR) and generate captions, but a prospective study is needed to examine its practical value.
Artificial Intelligence and Data Mining for the Pharmacovigilance of Drug-Drug Interactions.
Clinical therapeutics
Jan 31, 2023
Despite increasing mechanistic understanding, undetected and underrecognized drug-drug interactions (DDIs) persist. This elusiveness relates to an interwoven complexity of increasing polypharmacy, multiplex mechanistic pathways, and human biological ...
Incorporating VR-RENDER Fusion Software in Robot-Assisted Partial Prostatectomy: The First Case Report.
Current oncology (Toronto, Ont.)
Jan 31, 2023
Currently, the active surveillance of men with favorable intermediate-risk localized prostate cancer (PCa) is a longstanding controversy, in terms of their oncological outcomes, and radical prostatectomy would constitute a similar concern of overtrea...
Deep learning-based hemorrhage detection for diabetic retinopathy screening.
Scientific reports
Jan 27, 2023
Diabetic retinopathy is a retinal compilation that causes visual impairment. Hemorrhage is one of the pathological symptoms of diabetic retinopathy that emerges during disease development. Therefore, hemorrhage detection reveals the presence of diabe...
Development and validation of questionnaire-based machine learning models for predicting all-cause mortality in a representative population of China.
Frontiers in public health
Jan 27, 2023
BACKGROUND: Considering that the previously developed mortality prediction models have limited applications to the Chinese population, a questionnaire-based prediction model is of great importance for its accuracy and convenience in clinical practice...
Using deep learning to detect diabetic retinopathy on handheld non-mydriatic retinal images acquired by field workers in community settings.
Scientific reports
Jan 25, 2023
Diabetic retinopathy (DR) at risk of vision loss (referable DR) needs to be identified by retinal screening and referred to an ophthalmologist. Existing automated algorithms have mostly been developed from images acquired with high cost mydriatic ret...
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