Results 41 to 50 of about 851,247 (240)

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

open access: yesAging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel   +4 more
wiley   +1 more source

A web-based artificial intelligence system for label-free virus classification and detection of cytopathic effects

open access: yesScientific Reports
Identifying viral replication within cells demands labor-intensive isolation methods, requiring specialized personnel and additional confirmatory tests.
Zeynep Akkutay-Yoldar   +9 more
doaj   +1 more source

Ethics of Artificial Intelligence Demarcations

open access: yes, 2019
In this paper we present a set of key demarcations, particularly important when discussing ethical and societal issues of current AI research and applications.
A Etzioni   +13 more
core   +1 more source

Retractions in Rheumatology: Trends, Causes, and Implications for Research Integrity

open access: yesArthritis Care &Research, EarlyView.
Objective We aimed to describe the trends and main reasons for study retraction in rheumatology literature. Methods We reviewed the Retraction Watch database to identify retracted articles in rheumatology. We recorded the main study characteristics, authors’ countries, reasons for retraction, time from publication to retraction, and trends over time ...
Anna Maria Vettori, Michele Iudici
wiley   +1 more source

Explainable hybrid AI CAD framework for advanced prediction of steel surface defects

open access: yesScientific Reports
Steel surface defect detection is essential for maintaining industrial production quality. However, traditional single-stage detectors often face a trade-off between localization and classification, limiting their ability to distinguish visually similar ...
Changuk Moon   +2 more
doaj   +1 more source

Man and Machine: Questions of Risk, Trust and Accountability in Today's AI Technology [PDF]

open access: yes, 2013
Artificial Intelligence began as a field probing some of the most fundamental questions of science - the nature of intelligence and the design of intelligent artifacts. But it has grown into a discipline that is deeply entwined with commerce and society.
Ahuja, Piyush
core  

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

open access: yesArthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos   +2 more
wiley   +1 more source

Ualign: pushing the limit of template-free retrosynthesis prediction with unsupervised SMILES alignment

open access: yesJournal of Cheminformatics
Motivation Retrosynthesis planning poses a formidable challenge in the organic chemical industry, particularly in pharmaceuticals. Single-step retrosynthesis prediction, a crucial step in the planning process, has witnessed a surge in interest in recent ...
Kaipeng Zeng   +7 more
doaj   +1 more source

Designing Women: Essentializing Femininity in AI Linguistics [PDF]

open access: yes, 2019
Since the eighties, feminists have considered technology a force capable of subverting sexism because of technology’s ability to produce unbiased logic.
Vega, Ellianie S.
core   +1 more source

Artificial Intelligence‐based Online Symptom Assessment Tools for Systemic Lupus Erythematosus (SLE) diagnosis: Patient Perspectives

open access: yesArthritis Care &Research, Accepted Article.
Objective The objective of this article is to identify perceptions of SLE patients regarding artificial intelligence (AI)‐based online symptom assessment tools, and the potential of these tools to address diagnostic barriers. Methods Adults from our SLE research cohort were invited to participate in 60‐90 minute virtual focus groups concerning their ...
Olivia A. Stein   +7 more
wiley   +1 more source

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