AIMC Topic: Mass Screening
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Artificial intelligence guided screening for cardiomyopathies in an obstetric population: a pragmatic randomized clinical trial.
Nature medicine
Sep 2, 2024
Nigeria has the highest reported incidence of peripartum cardiomyopathy worldwide. This open-label, pragmatic clinical trial randomized pregnant and postpartum women to usual care or artificial intelligence (AI)-guided screening to assess its impact ...
Comparison of AI-integrated pathways with human-AI interaction in population mammographic screening for breast cancer.
Nature communications
Aug 30, 2024
Artificial intelligence (AI) readers of mammograms compare favourably to individual radiologists in detecting breast cancer. However, AI readers cannot perform at the level of multi-reader systems used by screening programs in countries such as Austr...
Developing probabilistic ensemble machine learning models for home-based sleep apnea screening using overnight SpO2 data at varying data granularity.
Sleep & breathing = Schlaf & Atmung
Aug 27, 2024
PURPOSE: This study aims to develop sleep apnea screening models with overnight SpO2 data, and to investigate the impact of the SpO2 data granularity on model performance.
Artificial intelligence for retinal diseases.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Aug 27, 2024
PURPOSE: To discuss the worldwide applications and potential impact of artificial intelligence (AI) for the diagnosis, management and analysis of treatment outcomes of common retinal diseases.
Enhanced machine learning approaches for OSA patient screening: model development and validation study.
Scientific reports
Aug 26, 2024
Age, gender, body mass index (BMI), and mean heart rate during sleep were found to be risk factors for obstructive sleep apnea (OSA), and a variety of methods have been applied to predict the occurrence of OSA. This study aimed to develop and evaluat...
Development and Testing of Artificial Intelligence-Based Mobile Application to Achieve Cataract Backlog-Free Status in Uttar Pradesh, India.
Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
Aug 24, 2024
BACKGROUND: Uttar Pradesh (UP), the most populous state in India, has about 36 million people aged 50 years or older, spread across more than 100,000 villages. Among them, an estimated 3.5 million suffer from visual impairments, including blindness d...
Enhancing cervical cancer cytology screening via artificial intelligence innovation.
Scientific reports
Aug 22, 2024
A double-check process helps prevent errors and ensures quality control. However, it may lead to decreased personal accountability, reduced effort, and declining quality checks. Introducing an artificial intelligence (AI)-based system in such scenari...
Impact of Gold-Standard Label Errors on Evaluating Performance of Deep Learning Models in Diabetic Retinopathy Screening: Nationwide Real-World Validation Study.
Journal of medical Internet research
Aug 14, 2024
BACKGROUND: For medical artificial intelligence (AI) training and validation, human expert labels are considered the gold standard that represents the correct answers or desired outputs for a given data set. These labels serve as a reference or bench...
Diabetic retinopathy screening with confocal fundus camera and artificial intelligence - assisted grading.
European journal of ophthalmology
Aug 7, 2024
PURPOSE: Screening for diabetic retinopathy (DR) by ophthalmologists is costly and labour-intensive. Artificial Intelligence (AI) for automated DR detection could be a clinically and economically alternative. We assessed the performance of a confocal...
Hybrid deep learning models for the screening of Diabetic Macular Edema in optical coherence tomography volumes.
Scientific reports
Jul 31, 2024
Several studies published so far used highly selective image datasets from unclear sources to train computer vision models and that may lead to overestimated results, while those studies conducted in real-life remain scarce. To avoid image selection ...
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