Publications
Below are various AI-related research publications by LUC faculty and the AI Business Consortium's online publication, The AI Edge.

September 2025
Prior Knowledge Shapes Success When Large Language Models Are Fine-Tuned for Biomedical Term Normalization
Research uncovers a "reactive middle zone" where an LLM's existing knowledge determines if fine-tuning will succeed, revealing the secret to a model's ability to learn new biomedical associations.
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August 2025
How Loyola is Bringing Artificial Intelligence and Ethics Into the Classroom
Loyola is blending AI with real-world questions of ethics, giving students the tools to use technology wisely.
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August 2025
3rd Quarter 2025
AI is transforming work through new tools, cloud infrastructure, and automation while highlighting that human relationships, collaboration, and creativity remain essential in the workplace.
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July 2025
Use of a Deep Learning Neural Network to Generate Bone Suppressed Images for Markerless Lung Tumor Tracking
A deep learning model generates synthetic bone-suppressed images, enabling accurate markerless lung tumor tracking with a single X-ray exposure.
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June 2025
Climate Media Amidst Technopolitical Change
Climate media research must move beyond outdated frameworks to address the complex, shifting realities of modern media and politics.
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May 2025
Preprocessing of Physician Notes by LLMs Improves Clinical Concept Extraction Without Information Loss
LLMs can clean up messy physician notes—boosting concept extraction by 50% without losing key clinical info.
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May 2025
2nd Quarter 2025
From AI inspired by human movement to data-driven retail and the generational shift shaping corporate innovation, these three articles reveal how businesses are adapting—and thriving—in an intelligent, fast-changing world.
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April 2025
Is AI Revolutionizing Climate Change Education?
Learn how ChatGPT’s climate responses often promote passive learning, vague concern, and limited transparency—raising questions for educators and students alike.
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February 2025
1st Quarter 2025
From workforce disruption to ethical dilemmas, AI is reshaping industries at an unprecedented pace. This issue explores the evolving job landscape, the urgent need to address AI bias, and the latest advancements in automation. Discover what these shifts mean for businesses, workers, and the future of technology-driven decision-making.
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January 2025
In Moderation: Automation in the Digital Public Sphere
Explore the Principle of Epistemic Resilience, a new approach to guiding digital platforms' content policies, with insights on how moderation and algorithm changes can foster healthy debate.
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December 2024
4th Quarter 2024
From overcoming adoption challenges to reshaping the workforce, this issue delves into the transformative power of AI. Explore practical strategies for scaling solutions, ethical considerations for the future of work, and hiring trends shaping AI roles. Whether you're navigating implementation or keeping pace with industry demands, these insights offer a roadmap to thrive in the AI-driven era.
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December 2024
Humans Outside the Loop
AI may seem autonomous, but human choices shape it at every step—yet when things go wrong, current laws offer little recourse. This piece reveals why today’s liability systems fall short and what could change.
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December 2024
Noise2Inverse for 3D Low-Dose Cone-Beam Computed Tomography
Extending Noise2Inverse to 3D CBCT volumes, this deep learning approach reduces noise in low-dose scans, improving image quality without extra radiation exposure.
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November 2024
The Routledge Handbook of Artificial Intelligence and Philanthropy
A comprehensive guide to AI and philanthropy, this handbook explores ethical AI integration, philanthropy's role in shaping AI, and practical case studies, fostering collaboration and advancing research.
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October 2024
Revealing the Limits of Cybersecurity Law for Healthcare AI
Healthcare tech holds sensitive data, but weak cybersecurity laws leave it exposed.
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October 2024
Calculation of Alpha Particle Single-Event Spectra Using a Neural Network
A neural network accurately predicts alpha-particle single-event spectra, streamlining microdosimetry calculations across diverse cell and tissue configurations.
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September 2024
The New EU–US Data Protection Framework’s Implications for Healthcare
The new U.S.-EU Data Privacy Framework aims to ease health data transfers—but gaps and stricter EU rules may still hinder cross-border healthcare and research.
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August 2024
Diversifying Data Science
A National Science Foundation grant will fund Loyola University Chicago’s efforts to expand data science courses and research opportunities.
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August 2024
3rd Quarter 2024
Explore how the latest advancements in AI and machine learning are transforming industries across the board. From aligning strategic investments to drive long-term profitability, to the cutting-edge innovations in financial services, and the revolutionary impact of Gen AI-powered Digital Knowledge Workers™ in manufacturing—discover how these technologies are enhancing decision-making, boosting productivity, and driving the next wave of business success.
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May 2024
2nd Quarter 2024
Topics include generative AI's impact on manufacturing design, maintenance, and quality control; the role of objective functions in defining AI's capabilities; and how large language models are transforming AI with autonomous agents for improved decision-making and customer experiences.
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May 2024
Prescribing Exploitation
AI-powered medical devices can quietly exploit patients, especially when reliance is unavoidable and data collection is constant. This piece argues for legal safeguards to protect users from excessive harm.
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April 2024
What’s Democratic About ‘Democratizing AI’?
By invoking the language of democracy without considering how best to ensure collective governance, tech companies fail at offering a truly democratic AI.
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April 2024
Advancing the Frontiers of Deep Learning for Low-Dose 3D Cone-Beam Computed Tomography Reconstruction
A large-scale benchmark study reveals how deep learning can enhance low-dose 3D CT reconstructions, cutting radiation without compromising image quality.
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April 2024
Low Dose CBCT Denoising Using a 3D U-Net
A 3D deep learning approach effectively denoises low-dose CBCT scans, reducing radiation exposure while preserving image quality.
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March 2024
Training The Translators: Why Business Schools Need To Up Their AI Game
The AI industry is growing, but organizations struggle with challenges like risk management and HR issues. Business schools are vital in educating business translators who bridge the gap between business needs and AI capabilities.
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March 2024
1st Quarter 2024
Topics include: Retrieval-Augmented Generation (RAG) models and their potential for various industries; the transformative role of AI in supply chain management, and machine learning insights for non-machine learning engineers.
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December 2023
Ethical and Social Challenges, the Frontier of AI
AI can transform lives with immense benefits but risks amplifying societal issues if not carefully designed.
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October 2023
4th Quarter 2023
Topics include: how successful structuring of AI can improve productivity, protocols for ChatGPT use in the classroom; six points to assist firms in the structure and rollout of AI; and the potential need for governance, risk, and compliance solutions as AI regulation increases.
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October 2023
Dosimetric and Workflow Impact of Synthetic-MRI Use in Prostate High-Dose-Rate Brachytherapy
Synthetic MRI generated from CT can streamline prostate HDR brachytherapy planning, maintaining accurate target coverage while reducing workflow complexity and registration errors.
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October 2023
Holistic Evaluation of Language Models
HELM enhances transparency in language models through comprehensive evaluation across scenarios and metrics, benchmarking 30 models to expose trade-offs, improve coverage, and share findings openly for community collaboration.
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July 2023
3rd Quarter 2023
Topics include: how AI is transforming retail supply and demand planning; ways generative AI can be leveraged in the insurance industry and executive search; and a consumer perspective of health care and AI.
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July 2023
Prostate Segmentation Accuracy Using Synthetic MRI for High-Dose-Rate Prostate Brachytherapy Treatment Planning
A generative AI model creates synthetic MRI from CT scans, enabling accurate prostate segmentation for high-dose-rate brachytherapy even when MRI is unavailable.
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November 2022
Adopting a Dynamic AI Price Optimisation Model to Encourage Retail Customer Engagement
Technology innovation, changing consumer preferences and behaviours and competition compel successful enterprises to embrace change. Nowhere are these pressures more acute than in the retail industry and, in particular, for those engaged in the sale of fashion merchandise.
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June 2022
Development and Multimodal Validation of a Substance Misuse Algorithm for Referral to Treatment Using Artificial Intelligence (SMART-AI)
A new AI algorithm accurately screens hospital patients for multiple types of substance misuse using just the first 24 hours of clinical notes.
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April 2022
Opening Doors in Data Science
Steven Keith Platt, a tax lawyer turned AI expert, is working to introduce students from underrepresented communities to the growing field of data science.
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December 2021
Beyond the "Black Box"
AI's "black box" hides behind trade secrets. Discover how system and process disclosure can unlock transparency and fairness without revealing core algorithms.
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November 2021
AI’s Legitimate Interest: Towards a Public Benefit Privacy Model
Health privacy laws are failing to keep pace with AI. Explore a new model that protects individuals while unlocking health data's full potential for community well-being.
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August 2021
Medical Device Artificial Intelligence: The New Tort Frontier
AI medical devices promise health breakthroughs but pose new safety risks. Discover how current laws fall short and what's needed for patient protection in this new tort frontier.
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March 2021
Balancing the Halo: Data Surveillance Disclosure and Algorithmic Opacity in Smart Hearing Aids
Smart hearing aids: powerful, but data collection is opaque, limiting user control. This article reveals the problem and proposes solutions for informed choice.
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January 2021
Legal Opacity: Artificial Intelligence’s Sticky Wicket
AI's "black box" isn't just technical; it's also legally opaque, creating a dual barrier to true transparency.
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September 2020
Medical Imaging and Privacy in the Era of Artificial Intelligence: Myth, Fallacy, and the Future
AI transforms medical imaging, but existing privacy laws like HIPAA can't protect uniquely identifiable digital images. We need new consent models to responsibly harness AI's diagnostic power.
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May 2020
Healthcare Privacy-AI Impasse
How has technology changed the patient-physician relationship? Dive into the healthcare privacy-AI impasse and its impact on your medical data.
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March 2018
Regulating the Internet of Things: Discrimination, Privacy, and Cybersecurity in the AI Age
IoT and AI introduce new privacy and cybersecurity risks to everyday products. This article explores current regulatory gaps and proposes a balanced legal framework to protect consumers and foster innovation.
READ MOREBelow are various AI-related research publications by LUC faculty and the AI Business Consortium's online publication, The AI Edge.