Digital Commons Network^™

Detection Of Sweet Potato Feathery Mottle Virus Infection Via Remote Hyperspectral Imaging, Clayton Blake

LSU Master's Theses

In sweetpotato, global production exceeds 90 million tons annually, yet yields are threatened by numerous pathogens, including the potyvirus sweet potato feathery mottle virus (SPFMV). Virus infections can reduce yields by 25–40%, but surveillance is hampered by asymptomatic infections and the labor-intensive nature of detection. Hyperspectral imaging (HSI), combined with machine learning (ML), offers a promising pathway to scalable, non-destructive detection; however, studies focused on virus infection in sweetpotato remain limited.

This study demonstrates the feasibility of ML-enabled HSI for SPFMV detection under greenhouse conditions via a curated spectral library of two commercial cultivars, 'Beauregard' and 'Orleans', and the biological …

Bomba E: Tradition And Eclecticism In Selected Choral Works Of Ángel "Cucco" Peña, Luis F. Gonzalez

LSU Doctoral Dissertations

This monograph presents a musical analysis of three choral works by Puerto Rican composer Ángel “Cucco” Peña: Negra Majestad, Bomba E, and Aleluya Criollo. Although Peña is widely recognized for his contributions to popular music and production, these pieces highlight a lesser-known side of his creative output in the choral realm. Each work draws from traditional Puerto Rican genres—bomba, plena, and aguinaldo—while incorporating modern compositional techniques that reflect Peña’s eclectic style and his engagement with both popular and classical traditions.

The study situates these pieces within their historical and cultural contexts, particularly the African diaspora’s …

Establishing A Framework Of Best Management Practices For Sustainable Water Quality: Integration Of Technology And Remote Sensing, Mason L. Marcantel

LSU Master's Theses

Water quality security is a complex management issue that is constantly challenged by factors of seasonal variability in climate change, urban population growth, and agricultural intensification. These factors warrant the need for innovative technological adaptations to management practices that integrate remote monitoring, predictive modeling, and sustainable resource utilization. This study establishes a framework for sustainable water quality practices through the integration of remote sensing technology for urban wastewater treatment and agricultural irrigation systems. This dual-site research study explores seasonal water quality dynamics and technological interventions to create a more proactive approach to water quality security.

In the first study, water …

Effects Of Hydrological Connectivity On Created Marsh Sustainability, Katie Swann

LSU Master's Theses

While efforts are being made to curb the high rate of coastal land loss in Louisiana, and even to restore ecosystem services and functions, it is generally accepted that restoration of these areas and functions is not a one-to-one value. It may take decadal time scales to reach efficient functional processing of nutrients and carbon storage rates, which may never reach true capacity comparable to similar naturally-organized systems. Although it is imperative to preserve these areas, restoration of ecosystem services and biogeochemical processes of coastal wetlands are preferable to future without action scenarios. Effectively directing the use of the limited …

Sustainable Robotic Construction: A Computational Particle Packing Approach For The Development Of Sustainable, Low-Cement 3d Printable Materials, Aranya Aumit Paul

LSU Master's Theses

Construction 3D Printing (C3DP) holds great potential for automated construction but faces key challenges, including the high Portland cement content of its printing materials. The high cement content raises material costs, causes shrinkage and thermal cracking, and increases its carbon footprint. This study introduces a novel hybrid computational pipeline that combines image based automated gradation analysis with 2D stochastic particle packing simulation, to design low-cement printable materials with minimal experimental testing. The image-based gradation system achieved a mean absolute error under 3.64% across six fine and coarse aggregate types. The particle packing simulation demonstrated an average error of less than …

User Privacy In The Digital Playground: An In-Depth Investigation Of Facebook Instant Games, Sideeq Bello

LSU Master's Theses

Amid growing concerns over data privacy in web and mobile applications, this study aims to assess the privacy mechanisms in instant games on Facebook, a platform with approximately 3.03 billion monthly active users and a substantial repository of personal data. Instant Games have become increasingly popular due to their ease of access and social integration features. Investigating these games can provide insights into privacy mechanisms and practices, thereby informing the development of more fair, compliant, and user privacy-centric gaming experiences. Thus, this study proposes an integrated analytical framework that leverages a combination of descriptive, memory, and network analysis techniques to …

An Andragogical, Transtheoretical Approach To Professional Development Using Structured Video Self-Reflection, Katherine Dyson

LSU Doctoral Dissertations

The purpose of this multiple baseline study was to measure the reliability of teachers’ reflective practices and the impact of structured video self-reflection on observable teaching practices and teacher self-efficacy. Additionally, this study explored the implications of teacher self-efficacy, and the stages of change model when working with teachers who have determined a change of behavior is necessary. Designed to satisfy the tenets of andragogy, this study presented structured video self-reflection as a teacher directed, practical, cost-effective form of professional development. Results indicated that teachers were able to reliably self-reflect, and that structured video self-reflection led to positive increases in …

Evaluation Of Host Resistance To Rotylenchulus Reniformis In Sweetpotato Germplasm, Timothy S. Miller

LSU Master's Theses

The reniform nematode (Rotylenchulus reniformis) is an emerging plant-parasitic threat to sweetpotato production. Dissimilar from the galling caused by root-knot nematode infections, infections from the reniform nematode occur without visible damage to the root system. In the southern United States, heavily infested sweetpotato fields can lose up to 40% of their total yield. Growers rely heavily on fumigants and nematicides which provide inconsistent control and are not sustainable in the long-term. Past research has been more focused on the efficacy of chemicals than in the identification of host resistance or tolerance in sweetpotato germplasm. This study evaluated past …

Navigating New Technology: A Phenomenological Study Into Technology Coaches’ Experiences During Ai Expansion In Schools, Elizabeth K. Wrzesinski

LSU Doctoral Dissertations

Artificial intelligence (AI) is rapidly influencing instructional practices in K–12 education, yet most states have not issued clear, binding policies to guide its integration. As a result, local school systems and support staff must interpret emerging guidance and determine how AI should be used in classrooms. This study examined how system-level technology coaches in the Deep South experience and support AI adoption in contexts where state guidance is advisory rather than mandatory. This qualitative phenomenological study used questionnaires and semi-structured interviews with technology coaches, and a content analysis of AI-related state and local policy guidance. Participants included technology coaches who …

From Pixels To Patterns: Coupling Optical Coherence Tomography And Machine Learning For Monitoring Coastal Wetland Root Systems, Mohamed O. Hassan, Aramy Truong, Maruti Mudunuru, Leslie G. Butler, Andre Rovai, Curtis Larimer, Joseph Daddona, Amir Ahkami, Jay Bardhan, Tamas Varga, Kelly Stratton, Satish Karra, Robert Twilley, Navid H. Jafari

Faculty Publications

Coastal wetlands are crucial in shoreline stabilization, carbon sequestration, and storm protection. Yet, due to limitations in traditional destructive sampling techniques, the belowground biomass (live root mass) and necromass (dead and decaying roots) remain difficult to assess in coastal wetlands, limiting our understanding on coastal resilience, nutrient cycling, and soil structure. This study employs Optical Coherence Tomography (OCT) as a high-resolution imaging technique to analyze root biomass and necromass in the Terrebonne Basin, Louisiana. A Random Forest (RF) model was developed to classify root health conditions based on OCT-derived features, achieving an accuracy of 70 % in distinguishing live from …

Chplx: The Hpx Solution For Bridging Chapel And C++, Shreyas Swanand Atre

LSU Master's Theses

Historically, domain scientists faced steep learning curves due to low-level programming models and fragmented tooling. Between 2003 and 2008, Cray, now part of HPE, introduced the Chapel language as part of DARPA’s High Productivity Computing Systems (HPCS) program. Today, Chapel remains under active development and is used across research and production projects. In parallel, the STE||AR Group has advanced C++-based parallel programming through HPX, a standards-conforming runtime that provides lightweight tasking, futures, and distributed execution while abstracting much of the algorithmic “heavy lifting.” Yet for many domain scientists, C++ presents a steeper learning curve than Chapel. To close this complexity …

Comparing The Consistency Between Age Estimations Across Various Three-Dimensional Model Creation Methods In An Attempt To Find A Practical Proxy For Physical Remains, Jeanne R. Wood

LSU Master's Theses

The purpose of this study is to determine whether digital three-dimensional models can serve as a viable alternative to physical human remains to allow continued research on fragile physical specimens. As digital three-dimensional models have become increasingly prevalent in anthropological and archaeological research, it is essential to assess their limitations and capabilities, particularly for subjective assessments that rely heavily on visual interpretation (Remondino & El-Hakim, 2006). While previous studies have focused on the use of digital three-dimensional models for quantitative measurements, their effectiveness for subjective analyses remains unclear (Cooper et al., 2003; Sholts et al., 2010; Stull et al., 2014; …

A Bdg Inequality For Stochastic Volterra Integrals, Alexandre Pannier

Journal of Stochastic Analysis

We establish Burkholder-Davis-Gundy-type inequalities for stochastic Volterra integrals with a completely monotone convolution kernel, which may exhibit singular behaviour at the origin. When the supremum is taken over a finite interval, the upper bound depends linearly on the Lγ-norm of the kernel, for any γ > 2. We demonstrate the utility of this inequality in quantifying the pathwise distance between two stochastic Volterra equations with distinct kernels, with a particular emphasis on the multifactor Markovian approximation. For kernels that decay sufficiently fast, we derive an alternative inequality valid over an infinite time interval, providing uniformin- time bounds for mean-reverting stochastic Volterra …

The Increase In Global Ocean Heat Content And Favorable Conditions For Tropical Cyclone And Cyclop Intensification: Accounting For El Niño, Robert Keenan Forney, Paul W. Miller, Travis A. Smith

Faculty Publications

The ocean heat content (“OHC”)—the heat energy within the ocean integrated to a reference depth—has physical drivers spanning spatial and temporal scales, including seasonality, the El Niño/Southern Oscillation (ENSO), and others. The present article investigates changes in the OHC100 during the period 1994–2020 using GLORYS12 monthly averaged ocean reanalysis. OHC100–ENSO correlation patterns are explored to glean insights about the oceanic mechanisms that facilitate the ENSO’s global teleconnections. After extracting known seasonality and ENSO signals using the Oceanic Niño Index (ONI), the OHC100 residual is analyzed to investigate multidecadal drivers of the OHC100. Lagged ENSO–OHC100 correlations (±12 months) reveal basin-scale oscillations …

Competition And Soil Microbe-Mediated Interactions Following Dieback Of A Dominant Wetland Plant, Joseph Johnston, Aaron E. Devries, Rodrigo Diaz, Vinson P. Doyle, Tracy Elsey-Quirk, James T. Cronin

Faculty Publications

Plant invasions can have important consequences for the soil ecosystem which, in turn, can affect interactions with other plant species and impose serious constraints on restoration efforts. In the Mississippi River Delta (MRD), USA, widespread dieback of the dominant wetland plant, Phragmites australis, was followed by the colonization of invasive Colocasia esculenta (taro) in many areas. We conducted a common-garden experiment to investigate the competitive interactions among taro and two P. australis lineages prevalent in the MRD, Delta and European invasive (EU), and the role of taro-soil microbes in mediating those interactions. Plant types were grown alone or together and …

When Old Meets New: Two Louisiana State University Outreach Librarians Build, Work, And Learn Together To Support Collaborative Student Engagement, Alia Kempton, Mitch Fontenot

Faculty Publications

In this essay, outreach librarians Mitch Fontenot (he/him), Louisiana State University, and Alia Kempton (she/her), Louisiana State University, Special Collections, reflect on their inaugural year of working together, highlighting key achievements, challenges, and growth that have marked their collaborative journey. They discuss how they established effective communication, built trust, and developed a shared understanding of goals and expectations. Additionally, they explore where they envision their partnership heading in the future, touching on long-term aspirations, potential areas for deeper collaboration, and the strategies they plan to implement to continue fostering a successful and productive working relationship.

The Mid-Infrared-Emitting Jet In The Black Hole V404 Cygni In Quiescence, E. S. Borowski, R. I. Hynes, Q. Hunt, A. J. Tetarenko, R. M. Plotkin, T. Shahbaz, P. Gandhi, T. J. Maccarone, J. C.A. Miller-Jones, C. O. Heinke, A. W. Shaw, T. D. Russell, G. R. Sivakoff, P. A. Charles, E. V. Palaiologou, P. Reig

Faculty Publications

Observations of some quiescent black hole X-ray binaries have revealed an excess of mid-infrared (MIR) emission above that expected from their donor stars. In one system, V404 Cygni, this excess has been variously suggested to arise from the accretion disk, circumbinary material, or a compact relativistic jet. Here we present simultaneous James Webb Space Telescope (JWST), Atacama Large Millimeter/submillimeter Array, and complementary multiwavelength observations undertaken to resolve this uncertainty. We observed large-amplitude 21 μm variability on short timescales with JWST, particularly a dramatic flare, which swiftly rose to ≈2.4 mJy, over 10 times the lowest observed MIR flux density. Similar …

Modeling The Effects Of Temperature And Resource Quality On The Outcome Of Competition Between Aedes Aegypti And Aedes Albopictus And The Resulting Risk Of Vector-Borne Disease, Emma Beck, Lauren Beuerle, Patt Martin, Regan Stambaugh, Rebeca De Jesús Crespo, Michael A. Robert, Suzanne L. Robertson

Faculty Publications

The community composition of vectors and hosts plays a critical role in determining risk of vector-borne disease transmission. Aedes aegypti and Aedes albopictus, two mosquito species that both transmit the viruses that cause dengue, chikungunya, and Zika, share habitat requirements and compete for resources at the larval stage. Ae. albopictus is generally considered a better competitor under many conditions, while Ae. aegypti is able to tolerate higher temperatures and is generally a more competent vector for many pathogens. We develop a stage-structured ordinary differential equation model that incorporates competition between the juvenile stages of two mosquito populations. We incorporate experimental …

Introducing A Markov Chain-Based Time Calibration Procedure For Multi-Channel Particle Detectors: Application To The Superfgd And Tof Detectors Of The T2k Experiment, S. Abe, H. Alarakia-Charles, I. Alekseev, C. Alt, T. Arai, T. Arihara, S. Arimoto, A. M. Artikov, Y. Awataguchi, N. Babu, V. Baranov, G. Barr, D. Barrow, L. Bartoszek, L. Bernardi, L. Berns, S. Bhattacharjee, A. V. Boikov, A. Blanchet, A. Blondel, A. Bonnemaison, S. Bordoni, M. H. Bui, T. H. Bui, F. Cadoux, S. Cap, A. Cauchois, J. Chakrani, P. S. Chong, A. Chvirova, P. Collard, M. Danilov, C. Davis

Faculty Publications

Inter-channel mis-synchronisation can be a limiting factor to the time resolution of high performance timing detectors with multiple readout channels and independent electronics units. In these systems, time calibration methods employed must be able to efficiently correct for minimal mis-synchronisation between channels and achieve the best detector performance. We present an iterative time calibration method based on Markov Chains, suitable for detector systems with multiple readout channels. Starting from correlated hit pairs alone, and without requiring an external reference time measurement, the method solves for fixed per-channel offsets, with precision limited only by the intrinsic single-channel resolution. A mathematical proof …

Real-Time Electron Spectrometer Utilizing A Permanent Magnet And Diode Detector Array, Mason W. Heath, Kenneth L. Matthews, Garrett M. Pitcher, Kenneth R. Hogstrom

Faculty Publications

Background: Magnetic spectrometers have been previously described for measuring energy spectra of therapeutic electron beams. However, challenges for clinical utilization have been their size, weight, and limited real-time capabilities. Development of a compact, lightweight, and inexpensive device with real-time readout will make an electron spectrometer a practical clinical tool. Purpose: This work integrates a commercial diode detector array with a permanent dipole magnet to create a practical real-time energy spectrometer for therapeutic electron beams. Methods: A 4 kg, 0.55 T permanent dipole magnet was coupled to two PC boards of a Sun Nuclear SRS MapCHECK device, which provided two interlaced …

On Tight (K,ℓ)-Stable Graphs, Xiaonan Liu, Zi Xia Song, Zhiyu Wang

Faculty Publications

For integers (Formula presented.), a graph (Formula presented.) is (Formula presented.) -stable if (Formula presented.) for every (Formula presented.) with (Formula presented.). A recent result of Dong and Wu states that every (Formula presented.) -stable graph (Formula presented.) satisfies (Formula presented.). A (Formula presented.) -stable graph (Formula presented.) is tight if (Formula presented.); and (Formula presented.) -tight for some integer (Formula presented.) if (Formula presented.). In this paper, we first prove that for all (Formula presented.), the only tight (Formula presented.) -stable graphs are (Formula presented.) and (Formula presented.), answering a question of Dong and Luo. We then prove that …

The Sensitivity Of Future Hydroclimate Projections To Topography And Large-Scale Dust Forcing In The Luquillo Mountains Of Eastern Puerto Rico, J. Preece, C. Johnson, T. Mote, P. Miller, M. Williams

Faculty Publications

Precipitation over Puerto Rico is expected to decline in coming decades, threatening an important source of surface water supply. However, earth system models neither resolve fine-scale orographic impacts nor the radiative effects of Saharan dust aerosols on precipitation over the island's mountains. Here, we use the Weather Research and Forecasting model coupled with chemistry (WRF-Chem) to downscale global climate model projections to a convection-resolving 4-km resolution for both dust and no-dust scenarios. We compare the regional hydroclimate during three periods: historical (2014–2018), mid- (2045–2049) and end-21st century (2085–2089), using output from an RCP8.5 simulation of the Community Earth System Model, …

The Expanded Regulatory Significance Of Saharan Dust Plumes In The United States, Paul Miller, Kimberly Hamilton-Wims, Ken Holmes, Doug Melancon, Jason Meyers, Tegan Treadaway

Faculty Publications

Given the recent reduction in the U.S. National Ambient Air Quality Standard (NAAQS) for annual PM2.5from 12 to 9 μg m^–3, the contribution of exceptional, though natural, particulate transport events has assumed greater regulatory relevance. This study examines the evolution of a June 2022 trans-Atlantic Saharan dust outbreak and contextualizes its impact on the 2023 PM2.5design values (DVs) for continental U.S. air quality monitors. The results demonstrate that the intrusion of Saharan dust yielded mean 24 h PM2.5values > 35 μg m^–3for multiple days across the Central U.S. and single-handedly elevated the 2022 mean annual PM2.5by > 0.5 …

X-Ray Polarization Detection Of The Pulsar Wind Nebula In G21.5-0.9 With Ixpe, Niccolò Di Lalla, Nicola Omodei, Niccolò Bucciantini, Jack T. Dinsmore, Nicolò Cibrario, Stefano Silvestri, Josephine Wong, Patrick Slane, Tsunefumi Mizuno, Michela Negro, Roger W. Romani, Riccardo Ferrazzoli, C. Y. Ng, Miltiadis Michailidis, Yi Jung Yang, Fei Xie, Martin C. Weisskopf, Philip Kaaret, Iván Agudo, Lucio A. Antonelli, Matteo Bachetti, Luca Baldini, Wayne H. Baumgartner, Ronaldo Bellazzini, Stefano Bianchi, Stephen D. Bongiorno, Raffaella Bonino, Alessandro Brez, Fiamma Capitanio, Simone Castellano, Elisabetta Cavazzuti, Chien Ting Chen, Stefano Ciprini

Faculty Publications

We present the X-ray polarization observation of G21.5−0.9, a young Galactic supernova remnant (SNR), conducted with the Imaging X-ray Polarimetry Explorer (IXPE) in 2023 October, with a total livetime of approximately 837 ks. Using different analysis methods, such as a space-integrated study of the entire region of the pulsar wind nebula (PWN) and a space-resolved polarization map, we detect significant polarization from the PWN at the center of the SNR, with an average polarization degree of ∼10% oriented at ∼33° (north through east). No significant energy-dependent variation in polarization is observed across the IXPE band (2-8 keV). The polarization map, …

Binding Of A [2fe-2s] Cluster Drives Dimerization Of Ferric Uptake Regulator (Fur) In Escherichia Coli, Fatemeh Najafi, Aidan G. Purcell, Finbar H. Homes, Huangen Ding

Faculty Publications

The ferric uptake regulator (Fur) is a global transcription factor that reversibly binds an iron-sulfur [2Fe-2S] cluster via the cysteine residues (site 3) in response to elevation of intracellular free Fe content in Escherichia coli. Here, we report that when E. coli Fur is expressed in E. coli cells grown in M9 medium supplemented with Fe or zinc (Zn), purified Fur binds a [2Fe-2S] cluster or Zn(II), respectively. While apo-form Fur is a monomer and has no DNA-binding activity, both the [2Fe-2S] cluster-bound Fur and the Zn(II)-bound Fur are homodimers and have a similar binding activity for the DNA sequence …

Time Series Changes Of Surficial Sediments On Eastern Ship Shoal, Louisiana Shelf, Adam Gartelman, Kehui Xu, Brian J. Roberts, David Samuel Johnson, Madison Liotta

Faculty Publications

Ship Shoal, a large transgressive sand body on the Louisiana continental shelf, is a critical sediment source for coastal restoration. This study evaluates spatial and temporal variability in sediment grain size, percents organic matter (%OM), and carbonate (%CO3) across the shoal crest (REF), Caminada Dredge Pit (CAM), and Terrebonne Dredge Pit (TER). Sediment samples were collected between 2020 and 2022 using box cores and analyzed for grain size, %OM, and %CO3, with temporal and spatial patterns assessed through statistical comparisons, correlation analyses, and random forest regression models. Results show that dredged areas act as sinks for fine-grained, organic-rich sediments, with …

A Comparison Of Characteristics Of Infilling Sediments In Three Mud-Capped Dredge Pits On The Louisiana Continental Shelf, Wenqiang Zhang, Kehui Xu, Chaochen Jia, Adam Gartelman, Omar Alawneh, Navid Jafari, Colin Herke, Madison Liotta, Samuel J. Bentley

Faculty Publications

Due to high sedimentation rate up to ~1 m/year, mud-capped dredge pits (MCDP) are often considered natural laboratories for studying sedimentary processes, slope stability and the impacts of dredging activities on marine environments. Although many studies have been performed on the Louisiana shelf, there is a lack of high spatial resolution research covering the eastern, central and western Louisiana shelf to comprehensively investigate sediment infilling. Eighteen vibracores were collected from the Peveto Channel dredge pit (PC), Raccoon Island dredge pit (RI) and Sandy Point dredge pit (SP), and more than 1300 samples were analyzed to study the spatial variation in …

Recovery Of Benthic Macroinfauna Six Years After Dredging, David Samuel Johnson, Manisha Pant, Andrew Nemeth, Emelie Foster, Adam Gartelman, Stacy Calhoun-Grosch, Kehui Xu, Brian J. Roberts, James Nelson

Faculty Publications

In soft-sediment communities, benthic macroinfauna can recover quickly (sometimes < 1 year) from dredging. However, it’s unclear how recovery is influenced if dredging dramatically changes abiotic factors. We determined recovery of benthic macroinfauna from dredging on a sandy shoal (Ship Shoal, Louisiana, USA), six years after dredging. Because the dredged area infilled with mud instead of sand and changed local abiotic conditions, we hypothesized that the benthic community had not recovered. Our results support this hypothesis. Although the dredged community had, on average, 160% greater density and 170% greater macroinfaunal biomass than the reference community, these increases were driven by the opportunistic and seasonally variable dwarf clam, Mulinia lateralis. Community structure differed starkly between the regions. Haustoriid amphipods and amphioxus (Branchiostoma floridae) dominated the reference community. However, these taxa were largely absent from the dredged community, which was dominated by opportunistic species such as M. lateralis and the fringe-gilled mudworm Paraprionospio pinnata. Community differences were largely driven by bottom-water dissolved oxygen and sediment grain size. Our results suggest that the dredged areas are still in a transitional phase of recovery after six years – dominated by opportunistic, hypoxia-tolerant species. Our results suggest that abiotic factors such as grain size and hypoxia are important in structuring benthic communities and their recovery rates. Thus, to achieve faster recovery of the biological community, dredging should be conducted in a way that minimizes long-term impacts on abiotic conditions.

A Test Of The Abundant-Center Hypothesis For Stream Fishes, Matthew L.W. Zink, Brandon K. Peoples, Julian D. Olden, Lily M. Thompson, William K. Annis, Stephen R. Midway

Faculty Publications

The abundant-center hypothesis (ACH) provides a conceptual model for predicting range-wide distributions of species abundance, suggesting that abundance peaks in the center of the geographic range and declines towards range edges. Empirical studies testing the ACH and its subsequent derivations predominantly occurred in terrestrial systems and reported mixed support. Moreover, none of these models consider the possibility of multiple geographic areas of elevated abundance (which we refer to as ‘abundant cores'). Naturally dispersal limited species may exhibit multiple abundant cores, requiring refinement of the ACH. We used fish species abundances from 29 206 community monitoring surveys and weighted geospatial kernel …

Artificial Intelligence In Head And Neck Cancer: Towards Precision Medicine, Jacob Hagen, Logan Hornung, William Barham, Supratik Mukhopadhyay, Adam Bess, Kevin Contrera, Devraj Basu, Vlad Sandulache, Guillaume Spielmann, Sagar Kansara

Faculty Publications

Over the past 20 years, the capabilities of artificial intelligence (AI) have gained significant interest. While AI has been implemented to various degrees in several disciplines, its unique applications in head and neck cancer (HNC) remain underdeveloped. This narrative review examines the existing body of literature regarding the use of AI in HNC. Studies to date have demonstrated AI’s utility across multiple phases of the HNC treatment continuum. Despite its promise, integrating AI into clinical practice faces several challenges, including concerns about system integrity, generalizability, privacy, and bias. In this review, we address these challenges and offer insights into future …