Shifa International Hospital

Knowledge, attitude, and practice of artificial intelligence among doctors and medical students in Pakistan: A cross-sectional online survey

Zaboor Ahmed, Khurram Khaliq Bhinder, Amna Tariq et al.

2022 · 182 Zit.

Perceptions of plagiarism among undergraduate medical students in Rawalpindi, Pakistan

Arslaan Javaeed, Abdus Salam Khan, Shafqat Husnain Khan et al.

2019 · 28 Zit.

Role of Artificial Intelligence and Machine Learning in Interventional Cardiology

Shoaib Subhan, Jahanzeb Malik, Abair ul Haq et al.

2023 · 24 Zit.

Chat GPT Develops Multiple Choice Questions (MCQs) for Postgraduate Specialty Assessment – A Reality or a Myth?

Faridah Ali, Salman Sharif, Madiha Ata et al.

2024 · 5 Zit.

Empowering Women’s Health: A Global Perspective on Artificial Intelligence and Robotics

Munaza Afaq, Divya E Abraham, Saloni H Patel et al.

2023 · 3 Zit.

Medical Students’ Perceptions of Large Language Models in Healthcare: A Multinational Cross-Sectional Study

Faiza Ejas, Shahnawaz Khan, A. Mujahid et al.

2025 · 2 Zit.

Evaluating the comprehension and accuracy of ChatGPT's responses to diabetes-related questions in Urdu compared to English

Seyreen Faisal, Tafiya Erum Kamran, Rimsha Khalid et al.

2024 · 1 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.

Abdul Rehman, Z S Siddique, Anum Khalid et al.

2025 · 0 Zit.

Archiving Pakistan Society of Nephrology Research Taskforce (2022-2024) 18 month initiatives to advance clinical research within Pakistan

Khaja Quadri, Waqar Kazmi, Beena Salman et al.

2024 · 0 Zit.

Exploring the digital competencies of clinical educators: a framework-based qualitative study

Serat Saad, Saad Ahmed, Muhammad Nasir Ayub Khan et al.

2025 · 0 Zit.

Big Data, AI, and Machine Learning in Translational Health

Dr. Sophia Khan

2025 · 0 Zit.

Clinical Course of Ruptured Cerebral Aneurysm at Tertiary Care Hospital in Pakistan

Almas Ashraf, Zaheer‐Ud‐Din Babar, Ayesha Jamal et al.

2023 · 0 Zit.

The Evolving Role of Artificial Intelligence in Medical Science: Advancing Diagnostics, Clinical Decision-Making, and Research

Bhavna Singla, Shaik Shahid Afridi, Sarath Vayolipoyil et al.

2025 · 0 Zit.

The Impact of AI-Powered Clinical Decision Support Systems on Clinical Decision-Making and Treatment Quality: A Systematic Review

Fatima Khurshid, Asif Moinul Islam, Sana Aslam et al.

2026 · 0 Zit.

The Impact of AI-Powered Clinical Decision Support Systems on Clinical Decision-Making and Treatment Quality

Fatima Khurshid, Fatima Khurshid

2025 · 0 Zit.