Background/Objectives: Artificial intelligence (AI) is expanding eye care beyond image-based detection toward prognosis, treatment-response prediction, monitoring, triage, and clinician-facing decision support. We evaluated AI across eye-disease screening, diagnosis, prognosis, treatment response, and decision support,...
Manal M Alharbi, Emtenan M. Alharbi, Alanoud S Alsalamah et al.· Journal of Clinical Medicine· 0 citations
Renomee AI: A Practical Guide to AI-Powered Batch File Renaming This practical guide introduces AI-powered batch file renaming workflows using Renomee AI, a file organization tool for Windows and macOS. The guide focuses on improving file organization through content-aware naming and metadata-based processing. It intro...
Employers increasingly provide training for working with digital technologies and artificial intelligence (AI), but it is unclear whether the same provision benefits all workers equally. Integrating the job demands–resources (JD-R) model with Sen’s capability approach, this study treats workplace AI exposure as a poten...
Asad Ul Islam Khan, Muhittin Kaplan, Volkan Öngel et al.· Behavioral Sciences· 0 citations
Educational reading copy of the activity first published by Figran Team at https://figran.mataroa.blog/blog/a-scatterplot-needs-intact-pairs-not-separately-sorted-columns/. This directory version retains the exercise, fictional values and answers; it removes the commercial website link. No Figran account or purchase is...
Figran Team· QUBES· 0 citations
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Senior High School (SHS) students often face challenges in selecting the most appropriate academic strand due to limited assessment tools and the continued reliance on traditional guidance practices. These methods frequently lack objectivity and comprehensive evaluation, resulting in mismatches between students’ compet...
John Kirby B. Espanto, Dit Rolaida L. Sonza· International Journal of Inn...· 0 citations
Relationships of Copper, Zinc, and the Cu/Zn Ratio with Human Chronic Diseases: Biological Mechanisms, Clinical Evidence, and an Integrated Theoretical Model for AI-DMRS Across Eight Chronic Disease Clusters Author: T. Aydın Doğan, MDAffiliation: Istanbul Okmeydanı Training and Research Hospital, Department of Internal...
doğan· Zenodo (CERN European Organi...· 0 citations
The use of Artificial Intelligence (AI) for image-based diagnostics is rising rapidly and enables new opportunities for improving clinical diagnostics through high precision and a quick identification of anomalies. However, a technology characterized by a high variability of image data and the opaqueness of AI models w...
Nina Parchmann, Marcin Orzechowski, Daniel Braun et al.· PLOS Digital Health· 0 citations
Abstract An oil refinery splits crude oil by boiling point and sells every fraction to the buyer who pays most for it; HCTGS (Hydro-Core Tower Gravity Systems) v47 applies the same principle to heat and joins the two halves of the series into one refinery: the thermal mineral and alloy cascade, which runs from 2,200 °C...
Ilir Mehmetaj· Zenodo (CERN European Organi...· 0 citations
Small and medium-sized enterprises seldom employ a financial analyst, and the lenders who assess them still work from documents rather than from verified figures. Statements arrive as spreadsheets, portable documents and scanned images; values are re-keyed by hand into private spreadsheets; interim statements are compa...
Nadish N Dr. B. Meena Preethi· Zenodo (CERN European Organi...· 0 citations
Ultrasonography (USG) is central to the diagnosis of pediatric appendicitis, but operator dependency and limited access can delay triage. This study aimed to develop an explainable machine learning model that estimates the USG-assisted clinical diagnosis of appendicitis from pre-imaging clinical and laboratory data alo...
Hilal Yumrutaş, Selahaddin Batuhan Akben, Yavuz Selim İşler· Bratislavské lekárske list...· 0 citations
AbstractBuilding upon the Entropic Interface Ladder, conscious agents may be taxonomized according to their positional rung and resultant perceptual capacities. This hierarchy distinguishes levels of observers by their entropy management strategies, substrate constraints, and degree of self-referential modeling.At lowe...
Charles Richard Walker (C. Rich)· Zenodo (CERN European Organi...· 0 citations
Artificial intelligence (AI) is transforming accounting by strengthening financial stewardship, improving decision-making, and supporting more inclusive resource management. This chapter examines how AI applications can reposition accounting from traditional financial control toward inclusive excellence in institutions...
Mojisola Oladunni Jacob-Udeme, Abraham Oluseyi Olayinka, Godwin Emmanuel Oyedokun· Advances in computational in...· 0 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence· news.mit.eduOct 15, 2026
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.
Learn how Google DeepMind and GovTech Singapore uses lightweight on-device Gemma models to intercept conversational scams in private chats with zero cloud data egress.
MIT News · Artificial Intelligence· news.mit.eduOct 13, 2026
