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Profil bibliographique

Rawan AlSaad

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

57Publications signalées
1797Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Digital Mental Health InterventionsMental Health via WritingArtificial Intelligence in Healthcare and EducationMachine Learning in HealthcareTopic Modeling

Les publications récentes

Accès ouvert 2026 article OpenAlex

Temporal and Behaviour-Aware Multimodal Modelling for Hour-Ahead Hypoglycaemia Prediction During Ramadan Fasting in Type 1 Diabetes

Mais Alkhateeb, Rawan AlSaad, Samir Brahim Belhaouari, Sarah Aziz et autres

Ramadan fasting substantially alters meal timing, sleep patterns, and daily activity, thereby increasing the risk of hypoglycaemia in adults with type 1 diabetes (T1D). Although continuous glucose monitoring (CGM) systems provide real-time alerts, these are largely reactive or limited to short prediction …

qa (code pays fourni par la source)

0 citations Sensors
Accès ouvert 2026 article OpenAlex

Depression subtype classification from social media posts: few-shot prompting vs. fine-tuning of large language models

Rawan AlSaad, Sulaiman Alshakhs, Rajat M. Thomas

Background: Social media provides timely proxy signals of mental health, but reliable tweet-level classification of depression subtypes remains challenging due to short, noisy text, overlapping symptomatology, and labeling bias. Large language models (LLMs) are increasingly used in mental health for tasks such …

qa, dk, us (code pays fourni par la source)

1 citation Frontiers in Digital Health
Accès ouvert 2026 article OpenAlex

Research Code Sharing in Support of Gold Standard Science.

Haipeng Chen, Elias K. Spanakis, Aaron Y Lee, Viswanathan Mohan et autres

Sharing research code in an open access version-controlled repository offers significant benefits for both science as a whole and for individual researchers. In this article, we focus on this practice, which is fully aligned with the NIH's Gold Standard Science (GSS) program …

us (code pays fourni par la source)

0 citations Carolina Digital Repository (University of North Carolina at Chapel Hill)
Accès ouvert 2026 article OpenAlex

Predicting Infant Sleep Patterns From Postpartum Maternal Mental Health Measures: Machine Learning Approach

Rawan AlSaad, Raghad Burjaq, Majid Alabdulla, Alaa Abd‐Alrazaq et autres

Background: Postpartum maternal mental health (MMH) symptoms, including depression, anxiety, and childbirth-related post-traumatic stress disorder, are known to influence infant sleep trajectories. While previous research has examined their individual and combined associations, the predictive utility of these MMH symptoms for the early …

qa (code pays fourni par la source)

1 citation JMIR Pediatrics and Parenting
Accès ouvert 2026 article OpenAlex

Artificial Intelligence in Endometriosis Imaging: A Scoping Review

Rawan AlSaad, Thomas J. Farrell, Ali M. Elhenidy, Shima Elbakhit M. E. Albasha et autres

Endometriosis is a chronic gynecological condition characterized by endometrium-like tissue outside the uterus. In clinical practice, diagnosis and anatomical mapping rely heavily on imaging, yet performance remains operator- and modality-dependent. Artificial intelligence (AI) has been increasingly applied to endometriosis imaging. We conducted …

qa, Égypte (code pays fourni par la source)

4 citations AI
Accès ouvert 2026 article OpenAlex

Research Code Sharing in Support of Gold Standard Science

David C. Klonoff, Juan Espinoza, Julia K. Mader, Lutz Heinemann et autres

Sharing research code in an open access version-controlled repository offers significant benefits for both science as a whole and for individual researchers. In this article, we focus on this practice, which is fully aligned with the NIH's Gold Standard Science (GSS) program …

us, at, it, sg, cn, qa, sa, nz, dk, es, gb, au, br, de, ca, in, kr, no, jp, Éthiopie (code pays fourni par la source)

3 citations Journal of Diabetes Science and Technology
Accès ouvert 2026 article OpenAlex

Predicting mood swings in women of reproductive age using machine learning on metabolic, menstrual, and lifestyle indicators

Rawan AlSaad, Farah El Rayess, Rajat M. Thomas

Background: Mood swings in reproductive-age women arise from interacting hormonal, metabolic, and lifestyle factors, yet scalable screening tools remain limited. Artificial intelligence (AI) and machine learning (ML) approaches offer the potential to integrate diverse predictors and enable early, data-driven risk stratification. Objective: …

qa (code pays fourni par la source)

1 citation Frontiers in Global Women s Health
Accès ouvert 2025 article OpenAlex

Hype vs Reality in the Integration of Artificial Intelligence in Clinical Workflows

Alaa Abd‐Alrazaq, Barry Solaiman, Yosra Magdi Mekki, Dena Al‐Thani et autres

Unlabelled: Artificial intelligence (AI) has the capacity to transform health care by improving clinical decision-making, optimizing workflows, and enhancing patient outcomes. However, this potential remains limited by a complex set of technological, human, and ethical barriers that constrain its safe and equitable …

qa, sa (code pays fourni par la source)

39 citations JMIR Formative Research
Accès ouvert 2025 article OpenAlex

Wearable Artificial Intelligence for Epilepsy: Scoping Review

Sarah Aziz, A. Ali, Hania Aslam, Zain Sohail et autres

Background: Epilepsy affects approximately 50 million people globally and imposes a substantial clinical and societal burden, requiring continuous and personalized monitoring for effective management. Wearable artificial intelligence (AI) technologies offer a promising solution by leveraging physiological signals and machine learning for seizure …

qa, pk, sa, ae (code pays fourni par la source)

9 citations Journal of Medical Internet Research
Accès ouvert 2025 article OpenAlex

Multimodal large language models for women’s reproductive mental health

Rawan AlSaad, Alaa Youssef, Sara Kashani, Majid Alabdulla et autres

BACKGROUND: Women's risk of mental health conditions fluctuates across the lifespan with hormone-mediated reproductive transitions. Reproductive psychiatry, a relatively new subspecialty, focuses on preventing and treating these conditions throughout various reproductive stages. Multimodal large language models (MLLMs) are advanced artificial intelligence (AI) …

qa, us (code pays fourni par la source)

5 citations Archives of Women s Mental Health
Accès ouvert 2025 article OpenAlex

From mother to infant: predicting infant temperament using maternal mental health measures and tabular machine learning models

Rawan AlSaad, Majid Alabdulla, Aliya Tabassum, Javaid I. Sheikh

Background: Negative emotionality is a core dimension of infant temperament, characterized by heightened distress, reactivity, and difficulty with self-regulation. It has been consistently associated with later behavioral and emotional difficulties. Emerging evidence suggests that maternal mental health (MMH) in the postpartum period …

qa (code pays fourni par la source)

2 citations Frontiers in Public Health
Accès ouvert 2025 review OpenAlex

Artificial Intelligence in Gestational Diabetes Care: A Systematic Review

Rawan AlSaad, Ali M. Elhenidy, Aliya Tabassum, Nour B. Odeh et autres

BACKGROUND: Artificial intelligence (AI) has emerged as a transformative tool for advancing gestational diabetes mellitus (GDM) care, offering dynamic, data-driven methods for early detection, management, and personalized intervention. OBJECTIVE: This systematic review aims to comprehensively explore and synthesize the use of AI …

qa, Égypte, jo (code pays fourni par la source)

27 citations Journal of Diabetes Science and Technology

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