University of Health Sciences Lahore

A survey on artificial intelligence approaches in supporting frontline workers and decision makers for the COVID-19 pandemic

Jawad Rasheed, Akhtar Jamıl, Alaa Ali Hameed et al.

2020 · 126 Zit.

Early Diagnosis of Cardiovascular Diseases in the Era of Artificial Intelligence: An In-Depth Review

Naiela E Almansouri, Mishael Awe, Selvambigay Rajavelu et al.

2024 · 40 Zit.

Transforming Healthcare through Artificial Intelligence and Machine Learning

Muhammad Asif Naveed

2023 · 17 Zit.

Students’ acceptance and use of generative AI in pharmacy education: international cross-sectional survey based on the extended unified theory of acceptance and use of technology

Mohamed Hassan Elnaem, Betül Okuyan, Naeem Mubarak et al.

2025 · 9 Zit.

Applications of artificial intelligence in stem cell therapy

Mahmood S. Choudhery, Taqdees Arif, Ruhma Mahmood

2025 · 3 Zit.

A systematic review about the evolving role of artificial intelligence in various fields of forensic medicine

Uzma Zaheen, Allah Rakha, Qudsia Hassan et al.

2025 · 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.

Nurses' Attitudes and Readiness Toward the Integration of Artificial Intelligence in Clinical Practice in Pakistan

N. Siddique, Huma Shahid

2025 · 0 Zit.

HOW AI TOOLS (LIKE CHATGPT/GEMINI) AFFECT CRITICAL THINKING IN NURSING STUDENTS. A SYSTEMATIC REVIEW

Afza Lal Din

2026 · 0 Zit.

Exploring Nurse Managers' Perception and Attitudes Towards Artificial Intelligence Integration in Healthcare Settings.

Amna Jabeen, Maryam Sabbaghan, Bushra Habib et al.

2025 · 0 Zit.

A COMPARATIVE STUDY REGARDING THE PERCEPTION OF PHYSICAL THERAPIST AND PHYSICAL THERAPY STUDENTS ABOUT USABILITY OF ARTIFICIAL INTELLIGENCE CHATBOT I.E, OPENAI-CHATGPT FOR THE RETRIEVAL OF INFORMATION IN ACADEMIC AND CLINICAL SETTINGS

SAB SHAHZAD, Izza Shahid, Muhammad Nouman et al.

2024 · 0 Zit.

Perceptions for Utilization of Artificial Intelligence among Early Pediatric Rehabilitation Practitioners: A Survey in Pakistan

Samreen Sadiq, Shazia Rizwan, Syed Asadullah Arslan et al.

2024 · 0 Zit.

Artificial intelligence and writing: What ChatGPT says?

Bilal Mirza

2023 · 0 Zit.

Diagnostic Accuracy of AI in Radiographic Detection of Dental Caries and Periapical Lesions

Shaheen Ahmed, Rabia Masood, Imran Rashid et al.

2025 · 0 Zit.

<b>AI-DRIVEN DECISION SUPPORT SYSTEMS IN NURSING: TRANSFORMING CLINICAL JUDGMENT AND PATIENT CARE</b>

Farhat Ul Ain, Bushra Mohammed Ali

2025 · 0 Zit.