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Usage of Telehealth and Telenutrition Services by Registered Dietitian Nutritionists: Cross-Sectional Study

Usage of Telehealth and Telenutrition Services by Registered Dietitian Nutritionists: Cross-Sectional Study

The broader context of telehealth adoption in emerging economies, as highlighted by studies, such as Assaad et al, provides a valuable framework for understanding the unique dynamics at play in the Saudi Arabian health care landscape [22]. Saudi Arabia’s health care system is characterized by a predominantly public-funded and public-owned structure, providing free universal health care to its citizens.

Najlaa Mohammed Al-Mana, Suhair Abdalla Abdalla, Asrar Abdulrahim Qari, Mohamed Eldigire Ahmed, Wejdan Saeed Alshehri, Lujain Salem Baabdullah

Online J Public Health Inform 2025;17:e80211


AI-Powered Thermography for Diabetic Foot Risk Stratification: Multicenter Cross-Sectional Study

AI-Powered Thermography for Diabetic Foot Risk Stratification: Multicenter Cross-Sectional Study

Studies such as that by Peregrina-Barreto et al [30] have shown the potential of infrared thermography for detecting foot complications in patients with diabetes. Several researchers have demonstrated promising results in the detection of DFUs using machine learning techniques to analyze foot images [31-33]. These studies suggest that AI’s application to data derived from thermal plantar images yields promising results, yet several important gaps remain unaddressed.

Meshari F Alwashmi, Mustafa alghali, Waseem Abu-Ashour, Abdullah Mohammed Arabe, Abdullah Al Soheimi, Nasibh Abdulrahman Alharbi, Hani Mohammed Badahdah

JMIR Form Res 2025;9:e81289


Evaluating the Accuracy of the Frysian Questionnaire for Differentiation of Musculoskeletal Complaints for Triage of Musculoskeletal Diseases: Algorithm Development and Validation Study

Evaluating the Accuracy of the Frysian Questionnaire for Differentiation of Musculoskeletal Complaints for Triage of Musculoskeletal Diseases: Algorithm Development and Validation Study

Similarly, patient-reported outcomes have been investigated, although Schäfer et al [29] found these to be less effective at distinguishing inflammatory from noninflammatory rheumatic conditions. Several limitations of this study should be acknowledged. First, while we validated our model in an external dataset, both cohorts originated from the same medical center, potentially limiting generalizability to different health care settings or patient populations.

Tjardo Daniël Maarseveen, Floor Reimann, Ahmed al Hasan, Annemarie Schilder, Dan Zhang, Freke Wink, Lidy Hendriks, Rachel Knevel, Reinhard Bos

JMIR Med Inform 2025;13:e77345


Challenges and Solutions in Applying Large Language Models to Guideline-Based Management Planning and Automated Medical Coding in Health Care: Algorithm Development and Validation

Challenges and Solutions in Applying Large Language Models to Guideline-Based Management Planning and Automated Medical Coding in Health Care: Algorithm Development and Validation

Cognitive errors, however, are the most frequent, with Graber et al finding that cognitive factors—such as faulty perception, failed heuristics, and cognitive biases—contribute to 74% of diagnostic errors [25]. This suggests that a substantial proportion of these errors could be mitigated through targeted interventions aimed at clinical decision-making and judgment. In malpractice claims, nearly 90% involve failures in these domains, regardless of the underlying condition [26].

Peter Sarvari, Zaid Al-fagih, Alexander Abou-Chedid, Paul Jewell, Rosie Taylor, Arouba Imtiaz

JMIR Biomed Eng 2025;10:e66691


Balancing Academics and Life: Qualitative Study of Health Professions Students’ Perceptions of a Four-Day Academic Week in the United Arab Emirates

Balancing Academics and Life: Qualitative Study of Health Professions Students’ Perceptions of a Four-Day Academic Week in the United Arab Emirates

According to Sagness et al [7], the 4-day school week offers potential advantages for both rural and suburban schools, particularly in terms of student achievement, behavior, attendance, as well as job satisfaction among teachers and staff. Thompson and Ward [6] revealed that students in nonrural 4-day schools had a reduction in on-time grade progression and absenteeism with the implementation of 4-day week.

Ashokan Arumugam, Jacqueline Maria Dias, Sangeetha Narasimhan, Raneen Mohammed Qadah, Reime Jamal Shalash, Taif A M Omran, Bashair M Mussa, Basema Saddik, Nadia Rashed Al Mazrouei, Sivapriya Ramakrishnan

JMIR Med Educ 2025;11:e67775


Prevalence and Risk Factors of Metabolic Dysfunction–Associated Steatotic Liver Disease in Patients With Type 2 Diabetes Mellitus at a Tertiary Center in Saudi Arabia: Cross-Sectional Questionnaire Study

Prevalence and Risk Factors of Metabolic Dysfunction–Associated Steatotic Liver Disease in Patients With Type 2 Diabetes Mellitus at a Tertiary Center in Saudi Arabia: Cross-Sectional Questionnaire Study

Soto et al [15] show that it is a widespread contributor to chronic liver disease globally. In Saudi Arabia, MASLD cases are projected to surge to more than 12 million by 2030 [16]. A study by Alswat et al [10] shows that by 2030, the estimated MASLD cases in Saudi Arabia and the United Arab Emirates would be 12,534,000 and 372,000, respectively. Lack of diagnosis denies patients crucial interventions. MASLD increases mortality risk, with significant economic burdens.

Abdulrahman M Elnasieh, Mohammed Almesned, Akram N Al Hazmi, Atheer Alturki, Faisal I Alhawaidi, Razan K Alhadlq, Maryam Alramadhan, Nasser Alobilan, Yasser Sheikh Qroosh

JMIR Diabetes 2025;10:e77772


Wearable Artificial Intelligence for Epilepsy: Scoping Review

Wearable Artificial Intelligence for Epilepsy: Scoping Review

For instance, the work by Li et al [9] provided a general overview of wearable devices but did not rigorously review the AI algorithms or validation strategies implemented in epilepsy therapy. The work by Beniczky et al [6] dealt with clinical practice guidelines without indicating the technical specifics of AI methods. Other works (eg, [10,13]) were primarily concerned with EEG-based seizure detection without regard to multimodal sensing or real-time deployment limitations.

Sarah Aziz, Amal A M Ali, Hania Aslam, Noor ul Ain, Amna Tariq, Zain Sohail, Sofia Murtaza, Hafiza Iqra Mahmood, Muhammad Irfan Wazeer, Fozia Murtaza, Alaa Abd-alrazaq, Mohammed Alsahli, Rafat Damseh, Rawan AlSaad, Tariq Shahzad, Arfan Ahmed, Javaid Sheikh

J Med Internet Res 2025;27:e73593