Current advancements in therapeutic approaches in orthopedic surgery: a review of recent trends

Frontiers in Bioengineering and Biotechnology, Journal Year: 2024, Volume and Issue: 12

Published: Feb. 9, 2024

Recent advancements in orthopedic surgery have greatly improved the management of musculoskeletal disorders and injuries. This review discusses latest therapeutic approaches that emerged orthopedics. We examine use regenerative medicine, including stem cell therapy platelet-rich plasma (PRP) injections, to accelerate healing promote tissue regeneration. Additionally, we explore application robotic-assisted surgery, which provides greater precision accuracy during surgical procedures. also delve into emergence personalized tailors treatments individual patients based on their unique genetic environmental factors. Furthermore, discuss telemedicine remote patient monitoring as methods for improving outcomes reducing healthcare costs. Finally, growing interest using artificial intelligence machine learning orthopedics, particularly diagnosis treatment planning. Overall, these significantly outcomes, reduced recovery times, enhanced overall quality care surgery.

Language: Английский

---

Ethical Considerations in Artificial Intelligence Interventions for Mental Health and Well-Being: Ensuring Responsible Implementation and Impact

Social Sciences, Journal Year: 2024, Volume and Issue: 13(7), P. 381 - 381

Published: July 22, 2024

AI has the potential to revolutionize mental health services by providing personalized support and improving accessibility. However, it is crucial address ethical concerns ensure responsible beneficial outcomes for individuals. This systematic review examines considerations surrounding implementation impact of artificial intelligence (AI) interventions in field well-being. To a comprehensive analysis, we employed structured search strategy across top academic databases, including PubMed, PsycINFO, Web Science, Scopus. The scope encompassed articles published from 2014 2024, resulting 51 relevant articles. identifies 18 key considerations, 6 associated with using wellbeing (privacy confidentiality, informed consent, bias fairness, transparency accountability, autonomy human agency, safety efficacy); 5 principles development technologies settings practice positive (ethical framework, stakeholder engagement, review, mitigation, continuous evaluation improvement); 7 practices, guidelines, recommendations promoting use (adhere transparency, prioritize data privacy security, mitigate involve stakeholders, conduct regular reviews, monitor evaluate outcomes). highlights importance By addressing privacy, bias, oversight, evaluation, can that like chatbots AI-enabled medical devices are developed deployed an ethically sound manner, respecting individual rights, maximizing benefits while minimizing harm.

Language: Английский

---

The Nexus of Healthcare and Technology

Advances in healthcare information systems and administration book series, Journal Year: 2024, Volume and Issue: unknown, P. 261 - 282

Published: Feb. 9, 2024

Recent years have witnessed a significant convergence of artificial intelligence (AI) within the healthcare sector. This chapter explores transformative potential and challenges posed by these intelligent technologies in healthcare. It various domains such as predictive analytics, telemedicine, personalized medicine, enhancement operational efficiencies. The findings underscore AI smart revolutionizing delivery. carries extensive implications for Healthcare practitioners administrators can leverage insights to strategically incorporate solutions, aiming improve patient outcomes enhance organizational efficiency. Additionally, provide valuable guidance policymakers stakeholders, informing creation guidelines standards that foster innovation, ensure safety, protect data security. Therefore, this is an essential guide effectively embracing role advancing practices.

Language: Английский

---

The Artificial Intelligence-Driven Pharmaceutical Industry: A Paradigm Shift in Drug Discovery, Formulation Development, Manufacturing, Quality Control, and Post-Market Surveillance

European Journal of Pharmaceutical Sciences, Journal Year: 2024, Volume and Issue: 203, P. 106938 - 106938

Published: Oct. 16, 2024

Language: Английский

---

Artificial intelligence for personalized nanomedicine; from material selection to patient outcomes

Expert Opinion on Drug Delivery, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 8, 2024

Applying artificial intelligence (AI) to nanomedicine has greatly increased the production of specially engineered nanoscale materials for tailored medicine, marking a significant advancement in healthcare. With use AI, researchers can search through massive databases and find nano-properties that support range therapeutic objectives, eventually producing safer, customized nanomaterials. AI analyzes patient data, including clinical genetic information, predict results individualized care makes recommendations therapy improvement. Furthermore, logically creates nanocarriers give precise controlled drug release patterns optimize advantages minimize undesirable side effects. Even though lot potential nanomedicine, there are still issues data integration techniques, moral dilemmas, requirement governmental backing. Future developments tools multidisciplinary cooperation between scientists with expertise biological sciences nanoengineering essential nanomedicine. Together, these disciplines propel advancements precision contributing ultimate objective—a future which combine provide really The authors this editorial encourage call on scientists, physicians, legislators acknowledge its transform treatment.

Language: Английский

---

Artificial intelligence in nursing: an integrative review of clinical and operational impacts

Frontiers in Digital Health, Journal Year: 2025, Volume and Issue: 7

Published: March 7, 2025

Background Advances in digital technologies and artificial intelligence (AI) are reshaping healthcare delivery, with AI increasingly integrated into nursing practice. These innovations promise enhanced diagnostic precision, improved operational workflows, more personalized patient care. However, the direct impact of on clinical outcomes, workflow efficiency, staff well-being requires further elucidation. Methods This integrative review synthesized findings from 18 studies published through November 2024 across diverse settings. Using PRISMA 2020 SPIDER frameworks alongside rigorous quality appraisal tools (MMAT ROBINS-I), examined multifaceted effects integration nursing. Our analysis focused three principal domains: advancements monitoring, efficiency workload management, ethical implications. Results The demonstrates that has yielded substantial benefits. AI-powered monitoring systems, including wearable sensors real-time alert platforms, have enabled nurses to detect subtle physiological changes—such as early fever onset or pain indicators—well before traditional methods, resulting timely interventions reduce complications, shorten hospital stays, lower readmission rates. For example, several reported early-warning algorithms facilitated faster responses, thereby improving safety outcomes. Operationally, AI-based automation routine tasks (e.g., scheduling, administrative documentation, predictive classification) streamlined resource allocation. efficiencies led a measurable reduction nurse burnout job satisfaction, can devote time despite these benefits, challenges remain prominent. Key concerns include data privacy risks, algorithmic bias, potential erosion judgment due overreliance technology. issues underscore need for robust targeted literacy training within curricula. Conclusion holds transformative practice by enhancing both outcomes efficiency. realize benefits fully, it is imperative develop frameworks, incorporate comprehensive education, foster interdisciplinary collaboration. Future longitudinal varied contexts essential validate support sustainable, equitable implementation Policymakers leaders must prioritize investments solutions complement expertise professionals while addressing risks.

Language: Английский

---

AI-Driven Telerehabilitation: Benefits and Challenges of a Transformative Healthcare Approach

AI, Journal Year: 2025, Volume and Issue: 6(3), P. 62 - 62

Published: March 17, 2025

Artificial intelligence (AI) has revolutionized telerehabilitation by integrating machine learning (ML), big data analytics, and real-time feedback to create adaptive, patient-centered care. AI-driven systems enhance analyzing patient personalize therapy, monitor progress, suggest adjustments, eliminating the need for constant clinician oversight. The benefits of AI-powered include increased accessibility, especially remote or mobility-limited patients, greater convenience, allowing patients perform therapies at home. However, challenges persist, such as privacy risks, digital divide, algorithmic bias. Robust encryption protocols, equitable access technology, diverse training datasets are critical addressing these issues. Ethical considerations also arise, emphasizing human oversight maintaining therapeutic relationship. AI aids clinicians automating administrative tasks facilitating interdisciplinary collaboration. Innovations like 5G networks, Internet Medical Things (IoMT), robotics further telerehabilitation’s potential. By transforming rehabilitation into a dynamic, engaging, personalized process, together represent paradigm shift in healthcare, promising improved outcomes broader worldwide.

Language: Английский

---

Potential Applications of Artificial Intelligence (AI) in Managing Polypharmacy in Saudi Arabia: A Narrative Review

Healthcare, Journal Year: 2024, Volume and Issue: 12(7), P. 788 - 788

Published: April 5, 2024

Prescribing medications is a fundamental practice in the management of illnesses that necessitates in-depth knowledge clinical pharmacology. Polypharmacy, or concurrent use multiple by individuals with complex health conditions, poses significant challenges, including an increased risk drug interactions and adverse reactions. The Saudi Vision 2030 prioritises enhancing healthcare quality safety, addressing polypharmacy. Artificial intelligence (AI) offers promising tools to optimise medication plans, predict reactions ensure safety. This review explores AI’s potential revolutionise polypharmacy Arabia, highlighting practical applications, challenges path forward for integration AI solutions into practices.

Language: Английский

---

The Future of Artificial Intelligence in Mental Health Nursing Practice: An Integrative Review

International Journal of Mental Health Nursing, Journal Year: 2025, Volume and Issue: 34(1)

Published: Jan. 23, 2025

ABSTRACT Artificial intelligence (AI) has been increasingly used in delivering mental healthcare worldwide. Within this context, the traditional role of health nurses changed and challenged by AI‐powered cutting‐edge technologies emerging clinical practice. The aim integrative review is to identify synthesise evidence AI‐based applications with relevance for, potential enhance, nursing Five electronic databases (CINAHL, PubMed, PsycINFO, Web Science Scopus) were systematically searched. Seventy‐eight studies identified, critically appraised synthesised following a comprehensive approach. We found that AI use vary widely from machine learning algorithms natural language processing, digital phenotyping, computer vision conversational agents for assessing, diagnosing treating challenges. overarching themes identified: assessment, identification, prediction, optimisation perception reflecting multiple levels embedding AI‐driven practice, how patients staff perceive settings. concluded hold great enhancing However, humanistic approaches may pose some challenges effectively incorporating into nursing. Meaningful conversations between nurses, service users developers should take place shaping co‐creation enhance care way promotes person‐centredness, empowerment active participation.

Language: Английский

---

Empowering nurses – a practical guide to artificial intelligence tools in healthcare settings: discussion paper

Contemporary Nurse, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 11

Published: Feb. 3, 2025

Background The rapid growth of artificial intelligence in healthcare is transforming how nurses deliver care and make clinical decisions. From supporting diagnostics to providing virtual health assistants, offers new ways enhance patient outcomes streamline processes. However, these advancements also bring challenges, particularly around ethics, potential biases, ensuring technology complements rather than replaces human expertise.

Language: Английский

---