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| 1 | Silver nanoparticle technology in orthopaedic infections显示文摘The irrational and prolonged use of antibiotics in orthopaedic infections poses a major threat to the development of antimicrobial resistance.To combat antimi-crobial resistance,researchers have implemented various novel and innovative modalities to curb infections.Nanotechnology involves doping ions/metals onto the scaffolds to reach the target site to eradicate the infective foci.In this conno-tation,we reviewed silver nanoparticle technology in terms of mechanism of action,clinical applications,toxicity,and regulatory guidelines to treat ortho-paedic infections. | Madhan Jeyaraman Naveen Jeyaraman Arulkumar Nallakumarasamy Karthikeyan P Iyengar Vijay Kumar Jain Anish G Potty Ashim Gupta | 2023 | World Journal of Orthopedics2023，14，9： | 0 |
| 2 | Is mandible derived mesenchymal stromal cells superior in proliferation and regeneration to long bone-derived mesenchymal stromal cells?显示文摘Mesenchymal stromal cells(MSCs)are cells with the characteristic ability of self-renewal along with the ability to exhibit multilineage differentiation.Bone marrow(BM)is the first tissue in which MSCs were identified and BM-MSCs are most commonly used among various MSCs in clinical settings.MSCs can stimulate and promote osseous regeneration.Due to the difference in the development of long bones and craniofacial bones,the mandibular-derived MSCs(M-MSCs)have distinct differentiation characteristics as compared to that of long bones.Both mandibular and long bone-derived MSCs are positive for MSC-associated markers such as CD-73,-105,and-106,stage-specific embryonic antigen 4 and Octamer-4,and negative for hematopoietic markers such as CD-14. | Madhan Jeyaraman Tushar Verma Naveen Jeyaraman Bishnu Prasad Patro Arulkumar Nallakumarasamy Manish Khanna | 2023 | World Journal of Methodology2023，13，2： | 0 |
| 3 | Machine learning and deep neural network-based learning in osteoarthritis knee显示文摘Osteoarthritis(OA)of the knee joint is considered the commonest musculoskeletal condition leading to marked disability for patients residing in various regions around the globe.Application of machine learning(ML)in doing research regarding OA has brought about various clinical advances viz,OA being diagnosed at preliminary stages,prediction of chances of development of OA among the population,discovering various phenotypes of OA,calculating the severity in OA structure and also discovering people with slow and fast progression of disease pathology,etc.Various publications are available regarding machine learning methods for the early detection of osteoarthritis.The key features are detected by morphology,molecular architecture,and electrical and mechanical functions.In addition,this particular technique was utilized to assess non-interfering,non-ionizing,and in-vivo techniques using magnetic resonance imaging.ML is being utilized in OA,chiefly with the formulation of large cohorts viz,the OA Initiative,a cohort observational study,the Multicentre Osteoarthritis Study,an observational,prospective longitudinal study and the Cohort Hip&Cohort Knee,an observational cohort prospective study of both hip and knee OA.Though ML has various contributions and enhancing applications,it remains an imminent field with high potential,also with its limitations.Many more studies are to be carried out to find more about the link between machine learning and knee osteoarthritis,which would help in the improvement of making decisions clinically,and expedite the necessary interventions. | Harish V K Ratna Madhan Jeyaraman Naveen Jeyaraman Arulkumar Nallakumarasamy Shilpa Sharma Manish Khanna Ashim Gupta | 2023 | World Journal of Methodology2023，13，5： | 0 |
| 4 | ChatGPT in action:Harnessing artificial intelligence potential and addressing ethical challenges in medicine,education,and scientific research显示文摘Artificial intelligence(AI)tools,like OpenAI's Chat Generative Pre-trained Transformer(ChatGPT),hold considerable potential in healthcare,academia,and diverse industries.Evidence demonstrates its capability at a medical student level in standardized tests,suggesting utility in medical education,radiology reporting,genetics research,data optimization,and drafting repetitive texts such as discharge summaries.Nevertheless,these tools should augment,not supplant,human expertise.Despite promising applications,ChatGPT confronts limitations,including critical thinking tasks and generating false references,necessitating stringent cross-verification.Ensuing concerns,such as potential misuse,bias,blind trust,and privacy,underscore the need for transparency,accountability,and clear policies.Evaluations of AI-generated content and preservation of academic integrity are critical.With responsible use,AI can significantly improve healthcare,academia,and industry without compromising integrity and research quality.For effective and ethical AI deployment,collaboration amongst AI developers,researchers,educators,and policymakers is vital.The development of domain-specific tools,guidelines,regulations,and the facilitation of public dialogue must underpin these endeavors to responsibly harness AI's potential. | Madhan Jeyaraman Swaminathan Ramasubramanian Sangeetha Balaji Naveen Jeyaraman Arulkumar Nallakumarasamy Shilpa Sharma | 2023 | World Journal of Methodology2023，13，4： | 0 |
| 5 | Revitalizing case reports: Standardized guidelines and mentorship显示文摘Despite a decrease in publication,case reports remain essential in medical literature as they offer detailed descriptions of individual patient cases and valuable insights for future management.These reports adhere to a standardized structure comprising sections such as abstract,introduction,case report,discussion,and conclusion.Obtaining informed consent and adhering to guidelines is essential.Case reports contribute to evidence-based medicine by detecting new therapies and adverse events.They also facilitate clear reporting,guideline adherence,and mentorship programs.These reports are vital for documenting rare occurrences,assisting clinicians in timely management,and communicating novel information to busy medical professionals.Following case report guidelines ensures comprehensive and standardized reporting,enhancing the acceptance and quality of case reports,and advancing medical knowledge. | Madhan Jeyaraman Swaminathan Ramasubramanian Naveen Jeyaraman Arulkumar Nallakumarasamy Shilpa Sharma | 2023 | World Journal of Clinical Cases2023，11，19： | 0 |
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