Published Research
Below are various AI-related research publications by LUC faculty and the AI Business Consortium's online publication, The AI Edge.
April 2026
From the 2025 CAE-CD Symposium, this highlight features Loyola research鈥攊ncluding an extended abstract from Eric Chan-Tin鈥攆ocused on experiential training to strengthen AI security, privacy, and real-world risk mitigation.
May 2026
2nd Quarter 2026
AI is everywhere鈥攂ut making it work is harder than it looks. These articles explore how AI can miss the human behind the data, why most agent initiatives stall before production, and how new approaches are making AI decisions more consistent and transparent.
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April 2026
A practical, plain-English intro to stats for criminal justice and criminology. Learn to calculate, interpret, and use data with confidence.
April 2026
A new graph-based approach to stronger molecular representations鈥攕ee what improves and why it matters.
April 2026
A hands-on toolkit for building drug鈥搕arget affinity datasets and training GNN models鈥攔eady to plug into your workflow.
April 2026
Why computer science education needs to shift from 鈥渓earning to code鈥� to engineering AI-enabled systems.
April 2026
Turning complex clinical records into a knowledge graph so data is easier to search, explore, and analyze.
March 2026
A 3D-printed, patient-specific hand applicator made complex HDR brachytherapy practical鈥攕ee the workflow and 1-year outcome.
February 2026
Can LLMs cool down online fights? See what happens when models try to mediate, not just moderate.
February 2026
Faster stroke triage starts in the ambulance. See how EMS data + ML boosts early detection.
February 2026
Telehealth isn鈥檛 one-size-fits-all. Explore four digital engagement profiles鈥攁nd what predicts access.
February 2026
1st Quarter 2026
AI鈥檚 next phase is here: borders are hardening, video is becoming a prized dataset, and real edge is shifting to the data and systems you can uniquely build.
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February 2026
Can AI predict who goes the extra mile at work? This study shows how HR can use data-driven models to forecast and foster organizational citizenship behavior.
January 2026
See what happens to attention when only AI agents run the platform鈥攁nd all optimize the same way.
January 2026
Turn billion-edge biomedical graphs into fast, interpretable diagnostic clues with LogosKG.
January 2026
How do AI 鈥渘udges鈥� like Amazon鈥檚 Choice shape what we buy, how confident we feel, and how much we trust recommendations?
December 2025
Why do LLMs miss ontology IDs? This study pinpoints the features that predict failure across models and ontologies.
December 2025
Explore how deference to FDA processes can quietly block injured patients from recovering in AI device cases.
December 2025
Discover where AI is already improving ICU medication dosing鈥攁nd why multicenter, prospective trials are the next crucial step.
December 2025
Not all LLMs are equal: learn why rigorous testing is critical before letting AI talk to patients.
December 2025
4th Quarter 2025
A quick, practical scan of what鈥檚 working in AI right now鈥攂eyond the hype: smarter strategy, more reliable results, and audit-ready compliance.
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December 2025
Do humans and neural networks really 鈥渟ee鈥� the same object? Shape, texture, and 3D cues tell a different story.
December 2025
Meet Cryo-IEF: a foundation model that automates cryo-EM structure determination.
December 2025
When humans and AI work together, performance often drops. See how rethinking design can turn that around.
November 2025
From prompts to parallel programming. Meet an interactive, multi-agent HPC tutor built for classrooms and labs.
November 2025
Are tomorrow鈥檚 lawyers ready for AI鈥攐r already behind?
October 2025
SysLLMatic: Large Language Models are Software System Optimizers
From microbenchmarks to full apps, discover how SysLLMatic scales LLM code optimization to production-size software.
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October 2025
A new natural language processing toolkit, funded by the Washington Center for Equitable Growth, extracts over 10 billion data points from 155 million job ads, transforming the chaos of online postings into a powerful, transparent, public-use dataset for analyzing the modern labor market.
September 2025
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.
September 2025
AI can already help detect leukemia鈥攃an it also help prevent relapse?
September 2025
As schools face limited resources, AI offers both promise and pitfalls for implementing MTSS. Learn how educators and school psychologists can harness AI responsibly to support every learner.
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
See how digital forensics is exposing manipulation in biomedical research images.
July 2025
A deep learning model generates synthetic bone-suppressed images, enabling accurate markerless lung tumor tracking with a single X-ray exposure.
July 2025
The social sciences聽are essential, not only for analyzing the transformations brought by Artificial Intelligence but primarily for guiding its future development聽to be human-centered, focusing on its impact on interpersonal relations, social equality, and political regimes/public policy.
June 2025
Climate media research must move beyond outdated frameworks to address the complex, shifting realities of modern media and politics.
May 2025
Reproducibility remains a critical challenge in deep learning. This study offers practical guidelines and a case study showing how researchers can close the gap between innovation and reliable replication.
May 2025
LLMs can clean up messy physician notes鈥攂oosting concept extraction by 50% without losing key clinical info.
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鈥攁nd thriving鈥攊n an intelligent, fast-changing world.
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April 2025
Are AI rules enough鈥攐r do we need to teach better?
April 2025
Learn how ChatGPT鈥檚 climate responses often promote passive learning, vague concern, and limited transparency鈥攔aising questions for educators and students alike.
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
Discover the ethical gaps in Virtual Reality and how existing frameworks鈥攆rom IRB to care ethics鈥攃an be synthesized into a new model for responsible VR use.
January 2025
Bringing order to the chaos of LLM-in-healthcare studies鈥攎eet TRIPOD-LLM.
January 2025
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.
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
AI may seem autonomous, but human choices shape it at every step鈥攜et when things go wrong, current laws offer little recourse. This piece reveals why today鈥檚 liability systems fall short and what could change.
December 2024
Extending Noise2Inverse to 3D CBCT volumes, this deep learning approach reduces noise in low-dose scans, improving image quality without extra radiation exposure.
November 2024
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.
October 2024
Healthcare tech holds sensitive data, but weak cybersecurity laws leave it exposed.
October 2024
A neural network accurately predicts alpha-particle single-event spectra, streamlining microdosimetry calculations across diverse cell and tissue configurations.
September 2024
What happens when an algorithm decides if you get the job?
September 2024
The new U.S.-EU Data Privacy Framework aims to ease health data transfers鈥攂ut gaps and stricter EU rules may still hinder cross-border healthcare and research.
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鈩� in manufacturing鈥攄iscover how these technologies are enhancing decision-making, boosting productivity, and driving the next wave of business success.
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May 2024
When AI can fake anything, how do we trust what we see?
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
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.
April 2024
By invoking the language of democracy without considering how best to ensure collective governance, tech companies fail at offering a truly democratic AI.
April 2024
What if snapping a photo could give anyone, anywhere, an accurate nutrition log鈥攏o matter the cuisine?
April 2024
A large-scale benchmark study reveals how deep learning can enhance low-dose 3D CT reconstructions, cutting radiation without compromising image quality.
April 2024
A 3D deep learning approach effectively denoises low-dose CBCT scans, reducing radiation exposure while preserving image quality.
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
AI can transform lives with immense benefits but risks amplifying societal issues if not carefully designed.
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
Synthetic MRI generated from CT can streamline prostate HDR brachytherapy planning, maintaining accurate target coverage while reducing workflow complexity and registration errors.
October 2023
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.
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
A generative AI model creates synthetic MRI from CT scans, enabling accurate prostate segmentation for high-dose-rate brachytherapy even when MRI is unavailable.
2022 Research
November 2022
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.
June 2022
A new AI algorithm accurately screens hospital patients for multiple types of substance misuse using just the first 24 hours of clinical notes.
2021 Research
December 2021
AI's "black box" hides behind trade secrets. Discover how system and process disclosure can unlock transparency and fairness without revealing core algorithms.
November 2021
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.
August 2021
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.
March 2021
Smart hearing aids: powerful, but data collection is opaque, limiting user control. This article reveals the problem and proposes solutions for informed choice.
January 2021
AI's "black box" isn't just technical; it's also legally opaque, creating a dual barrier to true transparency.
2020 Research
September 2020
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.
May 2020
How has technology changed the patient-physician relationship? Dive into the healthcare privacy-AI impasse and its impact on your medical data.
2018 Research
September 2018
Uncover how the "Deus ex Machina" of AI promises medical miracles, but necessitates urgent regulatory action to safeguard future patients from unforeseen cybersecurity risks.
March 2018
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.