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Profil bibliographique

Rahul Rahul

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

20Publications signalées
187Citations signalées
3Affiliations récentes

Les institutions déclarées

Les domaines associés

Surgical Simulation and TrainingEEG and Brain-Computer InterfacesNumerical methods in engineeringEnergetic Materials and CombustionUltrasound and Hyperthermia Applications

Les publications récentes

2025 article OpenAlex

Oromotor Stimulation: A Quasi-experimental Study on Feeding Skills in Term Asphyxiated Neonates

Rahul Rahul, Ruchika Bhatnagar, Hariom Kumar Solanki, Rakesh Kumar Gupta

Background Infants with perinatal asphyxia may develop feeding difficulties, which negatively impact their ability to achieve an adequate latch-on for breastfeeding. Early interventions in the form of oromotor stimulation (OMS) may enhance the feeding skills in at-risk neonates. Purpose This study intends …

in (code pays fourni par la source)

0 citations Journal of Neonatology
Accès ouvert 2025 preprint OpenAlex

Airway Skill Assessment with Spatiotemporal Attention Mechanisms Using Human Gaze

Jean-Paul Ainam, Rahul Rahul, Lora Anne Cavuoto, Matthew Hackett et autres

Airway management skills are critical in emergency medicine and are typically assessed through subjective evaluation, often failing to gauge competency in real-world scenarios. This paper proposes a machine learning-based approach for assessing airway skills, specifically endotracheal intubation (ETI), using human gaze data …

0 citations arXiv (Cornell University)
Accès ouvert 2025 preprint OpenAlex

End-to-End Deep Learning for Real-Time Neuroimaging-Based Assessment of Bimanual Motor Skills

Aseem Subedi, Rahul Rahul, Lora Anne Cavuoto, Steven D. Schwaitzberg et autres

The real-time assessment of complex motor skills presents a challenge in fields such as surgical training and rehabilitation. Recent advancements in neuroimaging, particularly functional near-infrared spectroscopy (fNIRS), have enabled objective assessment of such skills with high accuracy. However, these techniques are hindered …

1 citation arXiv (Cornell University)
Accès ouvert 2025 preprint OpenAlex

Beyond Performance Scores: Directed Functional Connectivity as a Brain-Based Biomarker for Motor Skill Learning and Retention

Anil Kamat, Rahul Rahul, Lora Anne Cavuoto, HARRY B. BURKE et autres

Motor skill acquisition in fields like surgery, robotics, and sports involves learning complex task sequences through extensive training. Traditional performance metrics, like execution time and error rates, offer limited insight as they fail to capture the neural mechanisms underlying skill learning and …

0 citations arXiv (Cornell University)
Accès ouvert 2025 preprint OpenAlex

Dynamic directed functional connectivity as a neural biomarker for objective motor skill assessment

Anil Kamat, Rahul Rahul, Anirban Dutta, Lora Anne Cavuoto et autres

Objective motor skill assessment plays a critical role in fields such as surgery, where proficiency is vital for certification and patient safety. Existing assessment methods, however, rely heavily on subjective human judgment, which introduces bias and limits reproducibility. While recent efforts have …

2 citations arXiv (Cornell University)
Accès ouvert 2023 article OpenAlex

Performance and learning rate prediction models development in FLS and RAS surgical tasks using electroencephalogram and eye gaze data and machine learning

Somayeh Besharat Shafiei, Saeed Shadpour, Xavier Intes, Rahul Rahul et autres

OBJECTIVE: This study explored the use of electroencephalogram (EEG) and eye gaze features, experience-related features, and machine learning to evaluate performance and learning rates in fundamentals of laparoscopic surgery (FLS) and robotic-assisted surgery (RAS). METHODS: EEG and eye-tracking data were collected from …

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12 citations Surgical Endoscopy
Accès ouvert 2023 article OpenAlex

Video-based formative and summative assessment of surgical tasks using deep learning

Erim Yanık, Uwe Krüger, Xavier Intes, Rahul Rahul et autres

To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated-none of which is currently achievable. Video-based assessment (VBA) is being deployed in intraoperative and simulation settings to evaluate technical skill execution. However, VBA is manual, time-intensive, and …

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28 citations Scientific Reports
Accès ouvert 2022 preprint OpenAlex

Video-based Formative and Summative Assessment of Surgical Tasks using Deep Learning

Erim Yanık, Uwe Krüger, Xavier Intes, Rahul Rahul et autres

To ensure satisfactory clinical outcomes, surgical skill assessment must be objective, time-efficient, and preferentially automated - none of which is currently achievable. Video-based assessment (VBA) is being deployed in intraoperative and simulation settings to evaluate technical skill execution. However, VBA remains manually- …

1 citation arXiv (Cornell University)

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