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Patients’ Expectations for App-Based Therapy in Knee Osteoarthritis: User-Centered Design Approach

Patients’ Expectations for App-Based Therapy in Knee Osteoarthritis: User-Centered Design Approach

As shown in Table 3, there was a statistically significant difference in opinion regarding the level of motivation based on the appropriate amount of time to exercise (F9=2.490; P=.0.15). Patients with higher motivation levels (ratings of 7‐10) favored longer exercise durations (mean ratings from 2.18 to 2.31) than those with lower motivation levels (ratings of 1‐6, mean ratings from 1.00 to 2.00).

Pika Krištof Mirt, Karmen Erjavec, Sabina Krsnik, Petra Kotnik, Hussein Mohsen

JMIR Rehabil Assist Technol 2025;12:e64607

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Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

Factors Determining Acceptance of Internet of Things in Medical Education: Mixed Methods Study

If the student’s immediate academic circle has a positive view of a particular technology, the student will likely also develop a favorable opinion. Similarly, tech-savvy students tend to have a positive self-perception. Early on in the acceptance of technology, students are usually eager to pioneer using advanced technologies [40-44]. Furthermore, a student’s optimism about technology is linked to their level of involvement in guiding its use.

Khadija Alhumaid, Kevin Ayoubi, Maha Khalifa, Said Salloum

JMIR Hum Factors 2025;12:e58377

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Prioritizing Trust in Podiatrists’ Preference for AI in Supportive Roles Over Diagnostic Roles in Health Care: Qualitative Interview and Focus Group Study

Prioritizing Trust in Podiatrists’ Preference for AI in Supportive Roles Over Diagnostic Roles in Health Care: Qualitative Interview and Focus Group Study

They were of the opinion that these tasks could be efficiently managed by AI, thereby streamlining the process and improving overall efficiency. However, opinions varied on whether AI can diagnose foot conditions in patients with diabetes. Most participants were of the opinion that AI is incapable to do so, emphasizing the need for physical examinations by human experts to come up with an accurate diagnosis.

Mohammed A Tahtali, Chris C P Snijders, Corné W G M Dirne, Pascale M Le Blanc

JMIR Hum Factors 2025;12:e59010

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