International Islamic University, Islamabad

Role of activity-based learning and ChatGPT on students' performance in education

Tamara Al Shloul, Tehseen Mazhar, Qamar Abbas et al.

2024 · 136 Zit.

Generative AI, IoT, and blockchain in healthcare: application, issues, and solutions

Tehseen Mazhar, Sunawar Khan, Tariq Shahzad et al.

2025 · 45 Zit.

The Use of AI in Diagnosing Diseases and Providing Management Plans: A Consultation on Cardiovascular Disorders With ChatGPT

Ayesha Rizwan, Tahira Sadiq

2023 · 39 Zit.

Artificial Intelligence (AI) in Early Childhood Education, Exploring Challenges, Opportunities and Future Directions: A Scoping Review

Rukhsana Durrani, Arshad Iqbal, Humaira Akram

2024 · 8 Zit.

Intellectual property right and patent: Conceptual awareness of PhD students about plagiarism

Sheikh Tariq Mahmood

2010 · 5 Zit.

Diagnosis of Chronic Kidney Disease Using Machine Learning Algorithm

Aqeel Ahmed, G. M. Faruk Ahmed, E Qureshi et al.

2023 · 2 Zit.

AI-DRIVEN TRANSFORMATIONS IN HEALTHCARE MARKETING: A QUALITATIVE INQUIRY INTO THE EVOLUTION AND IMPACT OF ARTIFICIAL INTELLIGENCE ON ONLINE STRATEGIES

Khurram Khan, Asma Imran, Rana Nadir

2024 · 2 Zit.

Building A Global Future Through Research 
And Innovative Practices In Open And Distance Learning

Sheikh Tariq Mahmood, Azhar Mahmood

2014 · 2 Zit.

Global status of policies and practices for systematic TB screening in high-burden countries

A.L. Innes, Refiloe Matji, Dick Menzies et al.

2025 · 1 Zit.

Leveraging AI and data analytics for sustainable education management in health and life sciences: a data-driven framework

Bin Hu, I. J. Malik, Yongquan Zhou et al.

2025 · 0 Zit.

Advances in artificial intelligence (AI) are rapidly transforming rehabilitation research, from predictive models of gait and recovery to AI-driven robotics and tele-rehabilitation systems. Such work promises more personalized therapy, but it also raises a question about fully disclosing AI tools in research . Despite the hype, a recent study shows that AI involvement in medical research is often underreported. In a systematic review of 65 clinical trials involving AI,only 10 explicitly mentioned that they used AI, and many AI-specific details were missing[1]. These findings suggest that there is a wide transparency gap. Some authors simply may not realize that standard reporting guidelines exist, and others may resist publishing code or details of AI usage. Resnik and Hosseini (2025) reported that some publishers have different and sometimes contradictory policies on AI disclosure [2]. So, without clear directives, many investigators share minimal information. However, whatever the reason is, if the methodology isn’t fully reported, it can’t be independently verified or reproduced. Failing to declare AI methods is not a mere editorial oversight; it poses real risks to science and patients. From a scientific standpoint, transparency is essential for reproducibility. Finally, not disclosing AI use can backfire academically. Many journals and professional societies now recognize that using AI (even for writing or image generation)can raise questions of authorship and ethics. The ICMJE updated its guidelines to address AI explicitly, noting that manuscripts must disclose information on how work conducted with the assistance of artificial intelligence (AI)technology [3]. So, the publishers are moving toward mandatory disclosure: if you used AI in any substantive way, you must tell readers. Rehabilitation research must get ahead of this curve rather than be caught unprepared. However, merely having guidelines is not enough; they must be adopted. As noted, several rehabilitation journals have not issued AI-specific author instructions. Specialty fields may assume general reporting standards suffice, but complexity demands explicit mention. We believe The Rehabilitation Journal and peer publications will adopt and consider revising their policies and submission checklists to explicitly ask about the use of any AI tools in this study. If so, describe in detail. Without these directives, underreporting is likely to continue. By embracing clear guidelines and ethical norms today, we can use AI’s potential to improve rehabilitation without compromising the integrity or equity of our science.

Ascenti, Portchester, Fareham, United Kingdom, Abdul Rehman, Z S Siddique et al.

2025 · 0 Zit.

Understanding Consumer Trust in AI-Driven Marketing: A Qualitative Study on Psychological Perception and Brand Interaction

Muhammad Ali Babar, Muhammad Zahid, Faiza Latif

2025 · 0 Zit.

Examine the Effectiveness of AI Chatbots Responses on Health Library Reference Services

Hajra Kalsoom, Sajeed Gul, Naheed Akhter et al.

2025 · 0 Zit.

Artificial Intelligence and Environmental, Social, and Governance: A Hybrid Bibliometric Approach

Qian Wu, Muhammad Sualeh Khattak, Muhammad Anwar et al.

2026 · 0 Zit.

LEVERAGING AI AND IOT TECHNOLOGIES FOR IMPROVED DECISION-MAKING IN FAMILY MEDICINE

Pavani Karani, Munazza Jabeen, Neha Gogineni et al.

2025 · 0 Zit.