Facultad Latinoamericana de Ciencias Argentina
Relevante Arbeiten
Meistzitierte Publikationen im Bereich Gesundheit & MedTech
The diagnostic accuracy of AI-based predatory journal detectors: an analogy to diagnosis
Jaime A. Teixeira da Silva, Timothy Daly
2023 · 11 Zit.
Against “silent” retractions in neuroscience
Jaime A. Teixeira da Silva, Timothy Daly
2024 · 6 Zit.
Letters to the editor generated by AI in neuroscience: The role of neuroethics
Jaime A. Teixeira da Silva, Timothy Daly
2025 · 5 Zit.
A ‘low-tech’ Academic Virtue Ethics in the Age of Generative AI
Timothy Daly
2025 · 5 Zit.
Letter to the Editor: Editorial: AI-assisted Letters to the Editor-Scope of a Growing Ethical and Practical Concern, and CORR 's Approach to Managing It
Timothy Daly, DA Silva Jaime A Teixeira
2025 · 2 Zit.
AI as an Always-available Oncologist: A Vision for AI-optimized Cancer Therapy Based on Real-time Adaptive Dosing at the Patient Level
Luis García Valiña, Gabriel Kalweit, Ignacio Mastroleo et al.
2024 · 2 Zit.
Socrates in the Machine: The “House Ethicist” in AI for Healthcare
Luis García‐Valiña, Paola Buedo, Timothy Daly
2023 · 2 Zit.
La regulación ética de aplicaciones digitales en salud frente a la pandemia por COVID-19
María De la Paz Lascano, Timothy Daly
2023 · 2 Zit.
The ethical and scientific challenges of ChatGPT in health: utopianism, technophobia and pragmatism
Luis García Valiña, Ignacio Mastroleo
2023 · 0 Zit.
In the age of AI, medical educators should insist on instilling a ‘low-tech’ virtue ethics
Timothy Daly
2026 · 0 Zit.
El deber de investigar en inteligencia artificial para la salud en América Latina
Alahí Bianchini
2026 · 0 Zit.
Human-AI Systems in Medicine: Outskilling Versus Newskilling
Timothy Daly
2026 · 0 Zit.
LETTERS TO THE EDITOR IN MEDICINE SHOULD NOT BE GENERATED BY AI
DA Silva Jaime A Teixeira, Timothy Daly
2025 · 0 Zit.
Letter to the Editor regarding “Letters from nobody: The problem of AI‐written Letters to the Editor”
Timothy Daly
2026 · 0 Zit.
Philosophy Research Program on Artificial Intelligence and Machine Learning in Oncology
Ignacio Mastroleo
2022 · 0 Zit.