Abdul Rehman YOU? Author Swipe

Osteophyte fracture - cervical spine Open

Enhancing carbon restoration and ecosystem resilience in global drylands via water-to-carbon biotransformation strategies Open

Pisiform fracture Open

Ankle fracture - Weber B Open

Proximal humeral buckle fracture Open

Proximal humeral fractures with pseudosubluxation Open

Distal tibial fixation failure Open

Dorsal avulsion fracture of navicular bone Open

Toddler fracture Open

Posteromedial tubercle fracture of the talus Open

Humeral greater tuberosity fracture Open

Radial head fracture Open

Simultaneous Multicompartmental Emphysema Following Orbital Wall Fracture: A Case Report and Literature Review Open

Hypergraph Contrastive Sensor Fusion for Multimodal Fault Diagnosis in Induction Motors Open

Radial head comminuted fracture Open

Scapular fracture Open

Clavicle fracture Open

Chauffeur fracture Open

Design, Synthesis, Molecular Docking, and Pharmacological Evaluation of 3H-Quinazolin-4-one Derivatives as Potential Antiepileptic Agents Open

Calcaneal fracture Open

Radial neck fracture Open

Cuboid fracture Open

Therapeutic potential of Ganoderma lucidum/ Reishi mushroom Open

Apophyseal avulsion injury of the right iliac crest Open

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. Open

Tibial plateau fracture - Schatzker type II Open

First Clues in Fragile Lives: Can Early Biomarkers Transform Neonatal Sepsis Detection? A Retrospective Analysis Open

Comminuted clavicular fracture with skin tenting Open

Advancing Goat Genomics Verification and Applying GBTS Liquid Chip for Precision Breeding Open

Acromioclavicular joint injury - type III Open