Vivek Shetty
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View article: SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions
SigmaScheduling: Uncertainty-Informed Scheduling of Decision Points for Intelligent Mobile Health Interventions Open
Timely decision making is critical to the effectiveness of mobile health (mHealth) interventions. At predefined timepoints called "decision points," intelligent mHealth systems such as just-in-time adaptive interventions (JITAIs) estimate …
View article: Mapping the mHealth Nexus: A Semantic Analysis of mHealth Scholars’ Research Propensities Following an Interdisciplinary Training Institute
Mapping the mHealth Nexus: A Semantic Analysis of mHealth Scholars’ Research Propensities Following an Interdisciplinary Training Institute Open
Interdisciplinary research catalyzes innovation in mobile health (mHealth) by converging medical, technological, and social science expertise, driving critical advancements in this multifaceted field. Our longitudinal analysis evaluates ho…
View article: A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial
A Deployed Online Reinforcement Learning Algorithm in an Oral Health Clinical Trial Open
Dental disease is a prevalent chronic condition associated with substantial financial burden, personal suffering, and increased risk of systemic diseases. Despite widespread recommendations for twice-daily tooth brushing, adherence to reco…
View article: The power of social talk: A longitudinal network analysis of conversations in fostering interdisciplinary collaboration
The power of social talk: A longitudinal network analysis of conversations in fostering interdisciplinary collaboration Open
Introduction: Interdisciplinary collaboration is essential for addressing scientific challenges, particularly in integrated fields like mobile health (mHealth), which combines computer communication and medicine to deliver healthcare servi…
View article: A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial
A Deployed Online Reinforcement Learning Algorithm In An Oral Health Clinical Trial Open
Dental disease is a prevalent chronic condition associated with substantial financial burden, personal suffering, and increased risk of systemic diseases. Despite widespread recommendations for twice-daily tooth brushing, adherence to reco…
View article: Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation
Effective Monitoring of Online Decision-Making Algorithms in Digital Intervention Implementation Open
Online AI decision-making algorithms are increasingly used by digital interventions to dynamically personalize treatment to individuals. These algorithms determine, in real-time, the delivery of treatment based on accruing data. The object…
View article: A Remote Oral Self-Care Behaviors Assessment System in Vulnerable Populations: Usability and Feasibility Study
A Remote Oral Self-Care Behaviors Assessment System in Vulnerable Populations: Usability and Feasibility Study Open
Background Preventative self-care can reduce dental disease that disproportionately burdens vulnerable populations. Personalized digital oral self-care behavioral interventions offer a promising solution. However, the success of these digi…
View article: Oralytics Reinforcement Learning Algorithm
Oralytics Reinforcement Learning Algorithm Open
Dental disease is still one of the most common chronic diseases in the United States. While dental disease is preventable through healthy oral self-care behaviors (OSCB), this basic behavior is not consistently practiced. We have developed…
View article: Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials
Monitoring Fidelity of Online Reinforcement Learning Algorithms in Clinical Trials Open
Online reinforcement learning (RL) algorithms offer great potential for personalizing treatment for participants in clinical trials. However, deploying an online, autonomous algorithm in the high-stakes healthcare setting makes quality con…
View article: Optimizing an adaptive digital oral health intervention for promoting oral self-care behaviors: Micro-randomized trial protocol
Optimizing an adaptive digital oral health intervention for promoting oral self-care behaviors: Micro-randomized trial protocol Open
View article: Developing Message Strategies to Engage Racial and Ethnic Minority Groups in Digital Oral Self-Care Interventions: Participatory Co-Design Approach
Developing Message Strategies to Engage Racial and Ethnic Minority Groups in Digital Oral Self-Care Interventions: Participatory Co-Design Approach Open
Background The prevention of oral health diseases is a key public health issue and a major challenge for racial and ethnic minority groups, who often face barriers in accessing dental care. Daily toothbrushing is an important self-care beh…
View article: Monitoring Brushing behaviors using Toothbrush Embedded Motion-Sensors
Monitoring Brushing behaviors using Toothbrush Embedded Motion-Sensors Open
Dental disease is largely preventable and closely linked to poor toothbrushing behaviors. Motion-sensors, such as accelerometers, gyroscopes, and magnetometers, allow for mon- itoring of toothbrushing behaviors. Researchers have attempted …
View article: Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Reward Design for an Online Reinforcement Learning Algorithm Supporting Oral Self-Care Open
While dental disease is largely preventable, professional advice on optimal oral hygiene practices is often forgotten or abandoned by patients. Therefore patients may benefit from timely and personalized encouragement to engage in oral sel…
View article: Monitoring Brushing behaviors using Toothbrush Embedded Motion-Sensors
Monitoring Brushing behaviors using Toothbrush Embedded Motion-Sensors Open
Dental disease is largely preventable and closely linked to poor toothbrushing behaviors. Motion-sensors, such as accelerometers, gyroscopes, and magnetometers, allow for mon- itoring of toothbrushing behaviors. Researchers have attempted …
View article: Monitoring Brushing behaviors using Toothbrush Embedded Motion-Sensors
Monitoring Brushing behaviors using Toothbrush Embedded Motion-Sensors Open
Dental disease is largely preventable and closely linked to poor toothbrushing behaviors. Motion-sensors, such as accelerometers, gyroscopes, and magnetometers, allow for mon- itoring of toothbrushing behaviors. Researchers have attempted …
View article: Relationships between changing communication networks and changing perceptions of psychological safety in a team science setting: Analysis with actor-oriented social network models
Relationships between changing communication networks and changing perceptions of psychological safety in a team science setting: Analysis with actor-oriented social network models Open
A growing evidence base suggests that complex healthcare problems are optimally tackled through cross-disciplinary collaboration that draws upon the expertise of diverse researchers. Yet, the influences and processes underlying effective t…
View article: Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care
Reward Design For An Online Reinforcement Learning Algorithm Supporting Oral Self-Care Open
Dental disease is one of the most common chronic diseases despite being largely preventable. However, professional advice on optimal oral hygiene practices is often forgotten or abandoned by patients. Therefore patients may benefit from ti…
View article: Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelines Open
Online reinforcement learning (RL) algorithms are increasingly used to personalize digital interventions in the fields of mobile health and online education. Common challenges in designing and testing an RL algorithm in these settings incl…
View article: Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines Open
Online reinforcement learning (RL) algorithms are increasingly used to personalize digital interventions in the fields of mobile health and online education. Common challenges in designing and testing an RL algorithm in these settings incl…
View article: A naturalistic study of brushing patterns using powered toothbrushes
A naturalistic study of brushing patterns using powered toothbrushes Open
Dental caries and periodontal disease are very common chronic diseases closely linked to inadequate removal of dental plaque. Powered toothbrushes are viewed as more effective at removing plaque; however, the conflicting evidence and consi…
View article: Femur Shaft Fracture in a Polio Patient
Femur Shaft Fracture in a Polio Patient Open
Introduction:Although poliomyelitis is on the verge of eradication, the survivors of this disease are still living with its complications. Polio survivors with its musculoskeletal complications will continue to be a part of our population …
View article: mTeeth
mTeeth Open
Ensuring that all the teeth surfaces are adequately covered during daily brushing can reduce the risk of several oral diseases. In this paper, we propose the mTeeth model to detect teeth surfaces being brushed with a manual toothbrush in t…
View article: Understanding trajectories of underlying dimensions of posttraumatic psychopathology
Understanding trajectories of underlying dimensions of posttraumatic psychopathology Open
View article: Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes
Fostering interdisciplinary collaboration: A longitudinal social network analysis of the NIH mHealth Training Institutes Open
Background/Objective: Growing recognition that collaboration among scientists from diverse disciplines fosters the emergence of solutions to complex scientific problems has spurred initiatives to train researchers to collaborate in interdi…
View article: A Scalable System for Passively Monitoring Oral Health Behaviors Using Electronic Toothbrushes in the Home Setting: Development and Feasibility Study
A Scalable System for Passively Monitoring Oral Health Behaviors Using Electronic Toothbrushes in the Home Setting: Development and Feasibility Study Open
Background Dental disease (including dental caries and periodontal disease) is largely preventable and closely linked to inadequate oral health behaviors. Digital health technologies have great potential for unobtrusively monitoring brushi…
View article: A Salivary Cytokine Panel Discriminates Moods States Following a Touch Massage Intervention
A Salivary Cytokine Panel Discriminates Moods States Following a Touch Massage Intervention Open
To construct a salivary cytokine panel that best reflects happiness and arousal levels associated with Touch Massage. The study utilized a cross-over design where forty healthy Japanese women were randomly assigned to receive a standardize…
View article: A Scalable System for Passively Monitoring Oral Health Behaviors Using Electronic Toothbrushes in the Home Setting: Development and Feasibility Study (Preprint)
A Scalable System for Passively Monitoring Oral Health Behaviors Using Electronic Toothbrushes in the Home Setting: Development and Feasibility Study (Preprint) Open
BACKGROUND Dental disease (including dental caries and periodontal disease) is largely preventable and closely linked to inadequate oral health behaviors. Digital health technologies have great potential for unobtrusively monitoring brush…
View article: mORAL
mORAL Open
We address the open problem of reliably detecting oral health behaviors passively from wrist-worn inertial sensors. We present our model named mORAL (pronounced em oral) for detecting brushing and flossing behaviors, without the use of ins…
View article: Plasma cytokine levels and the presence of colorectal cancer
Plasma cytokine levels and the presence of colorectal cancer Open
The levels of several plasma cytokines varied significantly between CRC patients and control subjects, suggesting the possibility of differentially expressed plasma cytokines as potential biomarkers for detecting the presence of CRC. Our r…
View article: SETTLE tumor of thyroid: Oldest case in literature
SETTLE tumor of thyroid: Oldest case in literature Open