ReviewEuropean journal of medical research2025
An analytic research and review of the literature on practice of artificial intelligence in healthcare.
Review in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Integrating generative AI into physiotherapy education: students' use, perceptions, and generative AI literacy following curricular adaptations: a repeated cross-sectional programme evaluation.BMC medical education · 2026Article
- Shaping the Future of Men's Health: How AI Could Be a Transformative Tool for Better Patient Outcomes and Provider Efficiency.Journal of medical Internet research · 2026Article
- Use of Artificial Intelligence in Rheumatoid Arthritis: Advancements and Novel Perspectives.Journal of clinical medicine · 2026Review
- [Research progress on medial support augmentation techniques for proximal humeral fractures].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2026Review
- Artificial intelligence and machine learning in neurogenic lower urinary tract dysfunction and spinal cord injury: current status, emerging technologies, and ethical perspectives.Frontiers in urology · 2026Article
- Intention to Engage in Exercise Rehabilitation Among Patients with Cardiovascular Disease: A Scoping Review.Patient preference and adherence · 2026Review
- Specialised Competencies and Artificial Intelligence in Perioperative Care: Contributions Toward Safer Practice.Healthcare (Basel, Switzerland) · 2025Review
- Wearable Devices in Healthcare Beyond the One-Size-Fits All Paradigm.Sensors (Basel, Switzerland) · 2025Review
- Towards AI-Based Strep Throat Detection and Interpretation for Remote Australian Indigenous Communities.Sensors (Basel, Switzerland) · 2025Article
- Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis.Frontiers in digital health · 2025Review
- Patient Perspectives on an Autonomous Wheelchair Transport Pilot in a Tertiary Medical Center: A Cross-Sectional Survey.Journal of primary care & community healthArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Artificial intelligence (AI) has transformed healthcare, particularly in robot-assisted surgery, rehabilitation, medical imaging and diagnostics, virtual patient care, medical research and drug discovery, patient engagement and adherence, and administrative applications. AI enhances pre-operative planning, intraoperative guidance, and post-operative outcomes in robotic surgery. In rehabilitation, AI enables personalized programs, physical therapy using robotics, and in real time monitoring and feedback mechanisms. The integration of AI with emerging technologies like augmented reality, virtual reality, and the Internet of Things holds promise for broader healthcare applications. However, AI adoption faces technical challenges related to data quality and bias, ethical and privacy concerns, regulatory and legal considerations, and issues of cost and accessibility. Future trends include advances in AI algorithms and robotics, integration with emerging technologies, and the potential for wider applications in healthcare and rehabilitation. Addressing ethical and security considerations is crucial for the successful integration of AI in healthcare while upholding patient safety and legal standards. Overcoming regulatory, ethical, and trust-based challenges with effective governance will be critical to the full realization of AI potential in healthcare artificial intelligence (AI)-driven healthcare solutions powered by IoT can enable in real time patient monitoring, enhancing early diagnosis and chronic illness management. AI applications in AR/VR can transform medical education by allowing healthcare professionals to practice intricate procedures in a safe environment. Wearable technology with AI-driven analytics can offer personalized health insights, facilitating proactive interventions and improved patient outcomes. Adopting these innovations can foster progress, enhance patient care, and boost overall healthcare efficiency. Future studies should refine these cross-disciplinary applications, ensure their smooth incorporation into current healthcare systems, and tackle potential ethical and security issues.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.