Facilitators and Barriers of Artificial Intelligence Applications in Rehabilitation: A Mixed-Method Approach

Application of digital technology in rehabilitation of total knee arthroplasty: A systematic review

Purpose

Total Knee Arthroplasty (TKA) aids in reducing pain and improving knee mobility, function, and quality of life in osteoarthritis knee (OA Knee). Techology-based rehabiliation has proved to be promising post-TKA. The objective of this systematic review was to summarize the digital technology after TKA.

Methods

The PRISMA Checklist was used for the present systematic review. Randomized and non-randomized studies were included. Joanna Briggs Critical Appraisal Checklist was used to assess risk of bias by two independent reviewers. The data was summarized narratively for the digital technologies utilized.

Results

177 studies were screened from the databases, and 14 studies were included. The risk of bias assessment showed low to moderate-quality evidence. The technologies were divided into 2 broad categories-mobile-based and web-based- although the individual studies had unique technologies utilizing sensors, motion trackers, and game-based and video-based.

Conclusion

Various digital technologies focus on providing exercise intervention post-TKA. Clinicians can use face-to-face and technology-based approaches for TKA rehabilitation for a comprehensive subjective and objective assessment post-TKA based on low to moderate quality studies.

Knowledge and Perception of Artificial Intelligence among Faculty Members and Students at Batterjee Medical College

Background

Mounting research suggests that artificial intelligence (AI) is one of the innovations that aid in the patient's diagnosis and treatment, but unfortunately limited research has been conducted in this regard in the Kingdom of Saudi Arabia (KSA). Hence, this study aimed to assess the level of knowledge and awareness of AI among faculty members and medicine students in one of the premier medical colleges in KSA.

Methods

A cross-sectional descriptive study was conducted at Batterjee Medical College (BMC), Jeddah (KSA), from November 2022 to April 2023.

Result

A total of 131 participants contributed to our study, of which three were excluded due to incomplete responses, thereby giving a response rate of 98%.

Conclusion

85.4% of the respondents believe that AI has a positive impact on the healthcare system and physicians in general. Hence, there should be a mandatory course in medical schools that can prepare future doctors to diagnose patients more accurately, make predictions about patients' future health, and recommend better treatments.

Research priorities in HIV, aging and rehabilitation: building on a framework with the Canada-International HIV and Rehabilitation Research Collaborative

BACKGROUND

In 2016, the Canada-International HIV and Rehabilitation Research Collaborative established a framework of research priorities in HIV, aging and rehabilitation. Our aim was to review and identify any new emerging priorities from the perspectives of people living with HIV, clinicians, researchers, and representatives from community organizations.

METHODS

We conducted a multi-stakeholder international consultation with people living with HIV, researchers, clinicians and representatives of community-based organizations. Stakeholders convened for a one-day Forum in Manchester, United Kingdom (UK) to discuss research priorities via a web-based questionnaire and facilitated discussions. We analyzed data using conventional content analytical techniques and mapped emerging priorities onto the foundational framework.

RESULTS

Thirty-five stakeholders from the UK(n = 29), Canada(n = 5) and Ireland(n = 1) attended the Forum, representing persons living with HIV or representatives from community-based organizations(n = 12;34%), researchers or academics(n = 10;28%), service providers(n = 6;17%), clinicians(n = 4;11%); and trainees(n = 4;11%). Five priorities mapped onto the Framework of Research Priorities across three content areas: A-Episodic Health and Disability Aging with HIV (disability, frailty, social participation), B-Rehabilitation Interventions for Healthy Aging across the Lifespan (role, implementation and impact of digital and web-based rehabilitation interventions) and C-Outcome Measurement in HIV and Aging (digital and web-based rehabilitation health technology to measure physical activity). Stakeholders indicated methodological considerations for implementing digital and web-based rehabilitation interventions into research and practice and the importance of knowledge transfer and exchange among the broader community.

CONCLUSION

Results highlight the sustained importance of the Framework of Research Priorities and provide further depth and areas of inquiry related to digital and web-based rehabilitation interventions and technology aging with HIV.

Artificial intelligence in pharmacy practice: Attitude and willingness of the community pharmacists and the barriers for its implementation

BACKGROUND

Artificial intelligence (AI) is the capacity of machines to perform tasks that ordinarily require human intelligence. AI can be utilized in various pharmaceutical applications with less time and cost.

OBJECTIVES

To evaluate community pharmacists' willingness and attitudes towards the adoption of AI technology at pharmacy settings, and the barriers that hinder AI implementation.

METHODS

This cross-sectional study was conducted among community pharmacists in Jordan using an online-based questionnaire. In addition to socio-demographics, the survey assessed pharmacists' willingness, attitudes, and barriers to AI adoption in pharmacy. Binary logistic regression was conducted to find the variables that are independently associated with willingness and attitude towards AI implementation.

RESULTS

The present study enrolled 401 pharmacist participants. The median age was 30 (29-33) years. Most of the pharmacists were females (66.6%), had bachelor's degree of pharmacy (56.1%), had low-income (54.6%), and had one to five years of experience (35.9%). The pharmacists showed good willingness and attitude towards AI implementation at pharmacy (n = 401). The most common barriers to AI were lack of AI-related software and hardware (79.2%), the need for human supervision (76.4%), and the high running cost of AI (74.6%). Longer weekly working hours (attitude: OR = 1.072, 95% C.I (1.040-1.104), P < 0.001, willingness: OR = 1.069, 95% Cl. 1.039-1.009, P-value = 0.011), and higher knowledge of AI applications (attitude: OR = 1.697, 95%Cl (1.327-2.170), willingness: OR = 1.790, 95%Cl. (1.396-2.297), P-value < 0.001 for both) were significantly associated with better willingness and attitude towards AI, whereas greater years of experience (OR = 20.859, 95% Cl (5.241-83.017), P-value < 0.001) were associated with higher willingness. In contrast, pharmacists with high income (OR = 0.382, 95% Cl. (0.183-0.795), P-value = 0.010), and those with<10 visitors (OR = 0.172, 95% Cl. (0.035-0.838), P-value = 0.029) or 31-50 visitors daily (OR = 0.392, 95% Cl. (0.162-0.944), P-value = 0.037) had less willingness to adopt AI.

CONCLUSIONS

Despite the pharmacists' positive willingness and attitudes toward AI, several barriers were identified, highlighting the importance of providing educational and training programs to improve pharmacists' knowledge of AI, as well as ensuring adequate funding support to overcome the issue of AI high operating costs.

Bridging the Gap between Basic Research and Clinical Practice: The Growing Role of Translational Neurorehabilitation

Translational neuroscience is intended as a holistic approach in the field of brain disorders, starting from the basic research of cerebral morphology and with the function of implementing it into clinical practice. This concept can be applied to the rehabilitation field to promote promising results that positively influence the patient's quality of life. The last decades have seen great scientific and technological improvements in the field of neurorehabilitation. In this paper, we discuss the main issues related to translational neurorehabilitation, from basic research to current clinical practice, and we also suggest possible future scenarios.