Cardiovascular disease remains the leading cause of death in women. Given accumulating evidence on - and gender-based differences in cardiovascular disease development and outcomes, the need for more effective approaches to screening for risk factors and phenotypes in women is ever urgent. Public …
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Importance: Contemporary approaches to artificial intelligence (AI) based on deep learning have generated interest in the application of AI to breast cancer screening (BCS). The US Food and Drug Administration (FDA) has approved several next-generation AI products indicated for BCS in recent years; however, questions regarding their …
Artificial intelligence allows radiologists to efficiently manage the data load of lung cancer screening using computed tomography (Randerath et al., 2020). Baldwin et al. in 2020, conducted a validation study by retrospectively collecting the database of pulmonary nodules of size 5-15 mm which were noted incidentally from three hospitals in ...
Core Tip: Artificial intelligence-assisted psychosis risk screening must be emphasized and applied in adolescents.This review summarizes the application of two artificial intelligence-assisted screening methods (chatbot and large-scale social media data analysis), and proposes that the first challenge in applying artificial intelligence to …
The unavailability of a robust screening method in the greenhouse has hampered studies on the genetics of resistance and plant breeding efforts to improve resistance. In the
Role of artificial intelligence in virtual screening. In recent years Artificial Intelligence (AI) emerged as the most reliable computational method in computer aided drug discovery, pharmaceutics and biomedical science by correcting complex chemical problems in the drug identification process. AI imitates or rehabilitates human performance by ...
In particular, we study the performance of the automated retina image analysis (ARIA) system under an independent scheme (i.e. only ARIA screening) and …
2. The Screening Rationale. Studies such as the National Lung Screening Trial (NLST) have demonstrated how screening for lung cancer a vital tool in high-risk individuals is because the early stages of the disease are completely asymptomatic or cause minimal non-specific symptoms [].In 2010, an evaluation of NLST data showed a …
Key Points. Question Can the number of eye examinations required to screen for retinopathy of prematurity (ROP) in a population be reduced using a precision-modeling approach based on demographics and artificial intelligence (AI) in low- and middle-income countries (LMICs)?. Findings In this diagnostic study of 762 infants in India, 330 infants …
For both artificial intelligence (AI)-based screening models (ie, semi-automated and fully automated), we adhered to the previously preset operating point of sensitivity at 90% on training datasets. 17 On the testing dataset, the semi-automated model achieved a sensitivity of 89·9% ...
Artificial intelligence (AI) has been proposed to reduce false-positive screens, increase cancer detection rates (CDRs), and address resourcing challenges faced by breast screening programs. ... BSWA screening practice: Radiologist double-reading, disagreement arbitrated by additional read/s: N/A: 3684: 3.38 (3.27–3.49) 760: 6.97 …
AI Voice Analysis for Diabetes Screening Shows Promise. Marilynn Larkin. September 11, 2024. 0. MADRID — An artificial intelligence (AI)-driven voice algorithm …
Introduction. Breast cancer claims the lives of 500,000 women worldwide each year. In India, the annual figure is roughly 75,000 ().Breast cancer deaths are higher in rural locations than in metropolitan areas due to multiple reasons like delay in diagnosis, cost of treatment, cultural factors and many more ().According per GLOBOCAN 2020, …
Artificial intelligence and screening of breast cancer Breast cancer is one of the leading causes of death among women across the world [ 18 ]. It is a very complex disease when it comes to pathogenesis, as there are a variety of factors like gender, heredity, genetics, environment, and occupation that predispose the individual to get the …
A Border Patrol vehicle sits near border walls separating Tijuana, Mexico, from the United States, Tuesday, June 4, 2024, in San Diego. President Joe Biden has unveiled plans to enact immediate significant restrictions on migrants seeking asylum at the U.S.-Mexico border as the White House tries to neutralize immigration as a political …
Founded in 2012, Guadalajara startup Kueski has raised $38.8 million to develop a fintech platform disbursing short-term loans online throughout Mexico.The startup uses big data analytics to determine …
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Regular eye screening is imperative to detect sight-threatening stages of diabetic retinopathy such as proliferative diabetic retinopathy and diabetic macular oedema in order to treat these before irreversible visual loss occurs. Screening is cost-effective and has been implemented in various countries in Europe and elsewhere.
Lung cancer is the leading cause of malignancy-related mortality worldwide due to its heterogeneous features and diagnosis at a late stage. Artificial intelligence (AI) is good at handling a large volume of computational and repeated labor work and is suitable for assisting doctors in analyzing image-dominant diseases like lung cancer. Scientists …
The results of this study demonstrate a substantial opportunity for Latin American countries such as Mexico toward developing efficient mass screening systems for early detection …
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The application of artificial intelligence (AI) technology to medical imaging has resulted in great breakthroughs. Given the unique position of ultrasound (US) in prenatal screening, the research on AI in prenatal US has practical significance with its application to prenatal US diagnosis improving work efficiency, providing quantitative …
Workflow overview. We followed three steps to effectively utilize the power of AI for the large-scale virtual screening effort and to create the V2DB (Fig. 1).First, by employing 22 different 2D ...
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Detailed info and reviews on 37 top AI (Artificial Intelligence) companies and startups in Mexico City in 2024. Get the latest updates on their products, jobs, funding, investors, founders and more.
Artificial intelligence and machine learning classification in four algorithms: supervised, unsupervised, reinforcement learning, and deep learning used in the field of drug screening. Different algorithms, such as decision trees, support vector machines, and neural networks, are emphasised in white boxes, and their applications in various ...
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To compare the performance of Medios (offline) and EyeArt (online) artificial intelligence (AI) algorithms for detecting diabetic retinopathy (DR) on images …
Background: This study aimed to test an artificial-intelligence-based reading system (AIRS) capable of reading retinographies of type 2 diabetic (T2DM) patients and …
Artificial intelligence-based technologies are gradually being applied to psych-iatric research and practice. This paper reviews the primary literature concerning artificial intelligence-assisted psychosis risk screening in adolescents. In terms of the practice of psychosis risk screening, the appli …
A framework and roadmap can be established to encourage the usage of data mining as well as for analytics, artificial intelligence, supervised and unsupervised learning, and other project administration methods as a supportive solution to conventional upstream frameworks in oil and gas industries (Fig. 1) (Pandey et al., 2021; Abou …
Purpose of Review Artificial intelligence (AI) is transforming electrocardiography (ECG) interpretation. AI diagnostics can reach beyond human capabilities, facilitate automated access to nuanced ECG interpretation, and expand the scope of cardiovascular screening in the population. AI can be applied to the standard …
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In brownfields, artificial lift methods are employed to add energy to the fluids inside the well, aiding their movement to the surface. This article overviews four popular artificial lift methods and discusses general screening criteria for selecting which method is the best for a specific well.
Purpose of Review. Artificial intelligence (AI) can make advanced inferences based on a large amount of data. The mainstream technologies of the AI boom in 2021 are machine learning (ML) and deep learning, which have made significant progress due to the increase in computational resources accompanied by the dramatic …
The world has a gender equality problem, and Artificial Intelligence (AI) mirrors the gender bias in our society. Although globally more women are accessing the internet every year, in low-income countries, only 20 per cent are connected. The gender digital divide creates a data gap that is reflected in the gender bias in AI. Who creates AI …
Artificial intelligence for digital breast tomosynthesis: Impact on diagnostic performance, reading times, and workload in the era of personalized screening. Eur J …
Background: This study aimed to test an artificial-intelligence-based reading system (AIRS) capable of reading retinographies of type 2 diabetic (T2DM) patients and a predictive algorithm (DRPA) that predicts the risk of each patient with T2DM of developing diabetic retinopathy (DR). Methods: We tested the ability of the AIRS to read and …
