Browsing by Author "Alghamdi, Rahaf"

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Healthcare Professionals’ Initial Perceptions of Integrating Artificial Intelligence into Amputation and Prosthetic Rehabilitation: A Pilot Survey
(Saudi Digital Library, 2025) Alghamdi, Rahaf; Donovan-Hall, Maggie
Background: Artificial intelligence (AI) demonstrates potential to transform prosthetic rehabilitation through enhanced personalisation, real-time adaptability, and improved functional outcomes. In prosthetic care, AI can optimise socket design, interpret biosignals for intuitive limb control, and analyse gait. Despite promising technological advances, clinical adoption remains limited due to concerns regarding system reliability, data privacy, and insufficient clinician preparedness. Understanding healthcare professionals' perspectives is critical for effective implementation. Methods: A pilot online survey utilising open and closed-ended questions was administered to physiotherapists, occupational therapists, and prosthetists involved in amputation care. The adapted survey contained 23 closed-ended items (demographic background, awareness, benefits, concerns, trust of AI) and two open-ended questions. Data analysis employed descriptive statistics and content analysis. Results: Among 43 participants, results revealed high theoretical AI awareness (84% familiarity) but limited practical exposure (37% encountered AI tools). Strong optimism existed regarding AI's benefits for care quality, clinical decision-support, and treatment personalisation. Significant concerns included insufficient training/resources, data privacy, and system reliability. Importantly, 95% believed AI should complement, not replace, clinicians. Conclusion: This pilot study offers insights into rehabilitation professionals’ perceptions of AI in prosthetic rehabilitation and confirms the adapted survey as feasible for large-scale research. Clinicians demonstrated cautious optimism toward AI integration, viewing it as an augmentative tool rather than a replacement for expertise. The primary adoption barrier is not resistance but a critical training and resource gap. Future implementation must prioritise professional education, address data security concerns, and develop AI systems aligned with distinct professional values within multidisciplinary teams.
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The Relations Between Tinnitus, Speech in Noise Performance, and Auditory Brainstem Response in Normal Hearing Teenagers
(The University of Manchester, 2024) Alghamdi, Rahaf; Plack, Chris
Objective: This study aimed to investigate the relationship between tinnitus, speech in noise thresholds, and auditory brainstem response (ABR) in teenagers with normal hearing, while controlling for pure tone audiometry (PTA) and extended high-frequency (EHF) thresholds. Design: A cross-sectional study was conducted on normal-hearing teenagers. The participants underwent testing, including PTA, EHF audiometry, ABR testing, and digits in speech-shaped noise (SSN), in addition to evaluations for tinnitus presence. Multiple linear regressions were performed to analyse the relationships between these variables Sample: 84 participants aged 16-17 years, with 42 having tinnitus (18 females) and 42 without (18 females). Results: Regression analyses showed that tinnitus presence, PTA mean, and EHF mean did not significantly predict variation in ABR amplitudes or digits in SSN thresholds in this cohort. Moreover, PTA mean, and EHF mean and ABR amplitudes, did not significantly predict variation in digits in SSN. Conclusion: The study found no link between the presence of tinnitus, performance in speech in noise, and ABR amplitude in teenagers with normal hearing thresholds. This lack of association could be due to the young age and lower lifetime noise exposure of the cohort, or the potential insensitivity of the methods used to detect subtle cochlear dysfunctions that might connect these variables in the normal hearing population.
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