Taiwanese Journal of Psychiatry, Journal Year: 2025, Volume and Issue: 39(1), P. 4 - 6
Published: Jan. 1, 2025
Language: Английский
Waste Management Bulletin, Journal Year: 2024, Volume and Issue: 2(2), P. 244 - 263
Published: May 9, 2024
Waste management poses a pressing global challenge, necessitating innovative solutions for resource optimization and sustainability. Traditional practices often prove insufficient in addressing the escalating volume of waste its environmental impact. However, advent Artificial Intelligence (AI) technologies offers promising avenues tackling complexities systems. This review provides comprehensive examination AI's role management, encompassing collection, sorting, recycling, monitoring. It delineates potential benefits challenges associated with each application while emphasizing imperative improved data quality, privacy measures, cost-effectiveness, ethical considerations. Furthermore, future prospects AI integration Internet Things (IoT), advancements machine learning, importance collaborative frameworks policy initiatives were discussed. In conclusion, holds significant promise enhancing practices, such as concerns, cost implications is paramount. Through concerted efforts ongoing research endeavors, transformative can be fully harnessed to drive sustainable efficient practices.
Language: Английский
Citations
59
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
Citations
22
Journal of Clinical Medicine, Journal Year: 2025, Volume and Issue: 14(2), P. 550 - 550
Published: Jan. 16, 2025
The convergence of Artificial Intelligence (AI) and neuroscience is redefining our understanding the brain, unlocking new possibilities in research, diagnosis, therapy. This review explores how AI’s cutting-edge algorithms—ranging from deep learning to neuromorphic computing—are revolutionizing by enabling analysis complex neural datasets, neuroimaging electrophysiology genomic profiling. These advancements are transforming early detection neurological disorders, enhancing brain–computer interfaces, driving personalized medicine, paving way for more precise adaptive treatments. Beyond applications, itself has inspired AI innovations, with architectures brain-like processes shaping advances algorithms explainable models. bidirectional exchange fueled breakthroughs such as dynamic connectivity mapping, real-time decoding, closed-loop systems that adaptively respond states. However, challenges persist, including issues data integration, ethical considerations, “black-box” nature many systems, underscoring need transparent, equitable, interdisciplinary approaches. By synthesizing latest identifying future opportunities, this charts a path forward integration neuroscience. From harnessing multimodal cognitive augmentation, fusion these fields not just brain science, it reimagining human potential. partnership promises where mysteries unlocked, offering unprecedented healthcare, technology, beyond.
Language: Английский
Citations
3
Journal of Medicine Surgery and Public Health, Journal Year: 2024, Volume and Issue: 3, P. 100109 - 100109
Published: April 23, 2024
Using Artificial intelligence technologies in cardiology has witnessed rapid advancements across various domains, fostering innovation and reshaping clinical practices. The study aims to provide a comprehensive overview of these AI-driven their implications for enhancing cardiovascular healthcare. A systematic approach was adopted conduct an extensive review scholarly articles peer-reviewed literature focusing on the application AI cardiology. Databases including PubMed/MEDLINE, ScienceDirect, IEEE Xplore, Web Science were systematically searched. Articles screened following defined selection criteria. These articles' synthesis highlighted AI's diverse applications cardiology, but not limited diagnostic innovations, precision medicine, remote monitoring technologies, drug discovery, decision support systems. shows significant role medicine by revolutionising diagnostics, treatment strategies, patient care. showcased this reflect transformative potential technologies. However, challenges such as algorithm accuracy, interoperability, integration into workflows persist. continued strategic promise deliver more personalised, efficient, effective care, ultimately improving outcomes shaping future practice.
Language: Английский
Citations
12
Journal of Medicine Surgery and Public Health, Journal Year: 2024, Volume and Issue: 3, P. 100135 - 100135
Published: Aug. 1, 2024
Language: Английский
Citations
8
AI & Society, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 7, 2025
Language: Английский
Citations
1
Education Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 113 - 113
Published: Jan. 21, 2025
This study examines educators’ perceptions of artificial intelligence (AI) in educational settings, focusing on their familiarity with AI tools, integration into teaching practices, professional development needs, the influence institutional policies, and impacts mental health. Survey responses from 353 educators across various levels countries revealed that 92% respondents are familiar AI, utilizing it to enhance efficiency streamline administrative tasks. Notably, many reported students using tools like ChatGPT for assignments, prompting adaptations methods promote critical thinking reduce dependency. Some saw AI’s potential stress through automation but others raised concerns about increased anxiety social isolation reduced interpersonal interactions. highlights a gap leading some establish own guidelines, particularly matters such as data privacy plagiarism. Furthermore, identified significant need focused literacy ethical considerations. study’s findings suggest necessity longitudinal studies explore long-term effects outcomes health underscore importance incorporating student perspectives thorough understanding role education.
Language: Английский
Citations
1
BMC Psychiatry, Journal Year: 2025, Volume and Issue: 25(1)
Published: Feb. 14, 2025
The integration of artificial intelligence in mental health care represents a transformative shift the identification, treatment, and management disorders. This systematic review explores diverse applications intelligence, emphasizing both its benefits associated challenges. A comprehensive literature search was conducted across multiple databases based on Preferred Reporting Items for Systematic Reviews Meta-Analyses, including ProQuest, PubMed, Scopus, Persian databases, resulting 2,638 initial records. After removing duplicates applying strict selection criteria, 15 articles were included analysis. findings indicate that AI enhances early detection intervention conditions. Various studies highlighted effectiveness AI-driven tools, such as chatbots predictive modeling, improving patient engagement tailoring interventions. Notably, tools like Wysa app demonstrated significant improvements user-reported symptoms. However, ethical considerations regarding data privacy algorithm transparency emerged critical While reviewed generally positive trend applications, some methodologies exhibited moderate quality, suggesting room improvement. Involving stakeholders creation technologies is essential building trust tackling issues. Future should aim to enhance methods investigate their applicability various populations. underscores potential revolutionize through enhanced accessibility personalized careful consideration implications methodological rigor ensure responsible deployment this sensitive field.
Language: Английский
Citations
1
Journal of Medicine Surgery and Public Health, Journal Year: 2024, Volume and Issue: 3, P. 100113 - 100113
Published: May 13, 2024
The primary objective of this commentary was to identify the strengths and weaknesses AI technologies, uncover opportunities for improvement, recognize potential threats that could impede their successful implementation in nursing care. This involved constructing a SWOT matrix analyze adoption, identifying internal weaknesses, external threats. analysis revealed several adoption care, including enhanced data capabilities, improved patient monitoring, increased efficiency routine tasks. However, such as high initial costs concerns about security were identified. Opportunities included reduce healthcare improve outcomes. Nonetheless, resistance technological change ethical dilemmas related decision-making processes recognized barriers adoption. article sheds light on intricate landscape While brings forth substantial strengths, it simultaneously poses challenges systems should confront. To fully harness AI's potential, organizations thoughtfully deliberate identified threats, actively seeking avenues seamless integration. In concerted effort, industry is poised unlock transformative capabilities AI, elevating care standards, ultimately, advancing
Language: Английский
Citations
6
Frontiers in Psychiatry, Journal Year: 2024, Volume and Issue: 15
Published: Oct. 31, 2024
against the growing prevalence of mental health issues (7,8).AI's role in care is multifaceted, encompassing predictive analytics, therapeutic interventions, clinician support tools, and patient monitoring systems (9). For instance, AI algorithms are increasingly used to predict treatment outcomes by analyzing data (10). Meanwhile, AI-powered such as virtual reality exposure therapy chatbot-delivered cognitive behavioral therapy, being explored, though they at varying stages validation (11,12). Each these applications evolving its own pace, influenced technological advancements need for rigorous clinical validation.AI's capabilities handling extensive datasets complex patterns position it a revolutionary force capable transforming offering advanced detection methods, personalized plans, platforms that could dramatically increase accessibility, reduce stigma, enhance (13,14,15,4).Furthermore, extends potentially replacing certain functions traditionally performed human psychotherapists. Innovations machine learning natural language processing have enabled like ChatGPT recognize process emotions, facilitating interactions once required nuanced understanding trained therapists (16,17). Preliminary studies suggest chatbots may help alleviate symptoms anxiety depression (18,19). However, often involve small participant groups lack long-term follow-up, making difficult draw definitive conclusions about their effectiveness. Consequently, while interventions hold promise, further research through large-scale, randomized controlled trials necessary establish efficacy sustainability over time.Studies shown can effectively depression, level interaction suggests machines might soon match or even surpass aspects psychotherapy (18,19,20,21).Although indicate short-term benefits, meta-analyses effects not be sustained long term, with no significant changes observed extended periods (22).As continues evolve become more deeply integrated into healthcare sector, potential fundamentally transform field undeniable. At time when reached pandemic proportions globally, affecting productivity quality life (23,24), innovative solutions urgent. AI's integration services offers promising avenues enhancing delivery improving efficiency. crucial approach this evolution caution. We must carefully address limitations AI, algorithmic bias, ethical concerns, oversight, prevent future disparities ensure complements rather than replaces essential elements psychotherapy. has assume many roles psychotherapists, This balanced will key harnessing benefits safeguarding accessibility care.The Artificial Intelligence (AI) Psychotherapy represents phase care, leveraging technology both accessibility. Initial experiments 1960s, notably ELIZA program, showcased mimicking human-like conversations (25). pioneering work established foundation increasing psychological assessment ensuing decades.The development 1980s aimed replicate expertise, leading diagnostic tools across various disciplines (26,27). By end 20th century, gave rise computerized (CBT) programs, which were designed provide structured, evidence-based common conditions (28). Although early basic current technologies, marked pivotal shift toward digital means As advanced, rapidly expanded encompass issues, creation introduction teletherapy enhancements (15,4).Continuing technology, driven increases computational power breakthroughs (NLP), sophisticated between users. models, particularly those utilizing transformer architecture OpenAI's (Version GPT-4o), demonstrate an exceptional capacity recognizing complexities emotion nuances (17). These models facilitate engaging adeptly interpret emotional states, providing contextually emotionally relevant response (29). Future expected introduce natural, real-time voice enable video, broadening Psychotherapy(30). The upcoming GPT-5 anticipated GPT-4, augmenting effectiveness extending range available patients (31).A study Elyoseph utilized Levels Emotional Awareness Scale (LEAS) assess ChatGPT's ability articulate emotions hypothetical scenarios (16). findings generate responses reflect awareness similar general population.However, it's important note 'understanding' based on pattern recognition modeling, genuine comprehension. Therefore, mimic responses, does experience humans do, area limited textual analysis generation.A groundbreaking measure ChatGPTs found matched sometimes exceeded population's levels. Such components comparable to, some cases surpasses, humans.This proficiency comprehension positions valuable tool care. example, been involved pilot where assisted identifying warning signs suicidal tendencies initial (32). Moreover, recent demonstrated generalpurpose Gemini Pro outperform traditional bots, Wysa Youper, correcting biases overtrust, fundamental attribution error, just-world hypothesis. In areas, GPT-4 scored highest, bots lowest (33).These underscore effective support, contexts professionals scarce.To illustrate how ChatGPT-4 function context, consider following scenario involving individual seeking from platform.Alex experiencing related stress. Unable access immediate professional help, Alex turns app powered support.Alex: "I've feeling really overwhelmed lately. Deadlines piling up, I can't seem catch up."ChatGPT-4: "I'm sorry hear you're way. It sounds under lot pressure.Would you talk what's causing feelings, perhaps explore strategies manage your stress?" Alex: "I just feel matter much never enough. I'm worried going let everyone down."ChatGPT-4: "It seems fear disappointing others, quite stressful.Remember, acknowledge efforts. Would discussing management techniques ways set realistic expectations helpful?"In interaction, provides empathetic validates Alex's coping strategies. example demonstrates AI-driven offer assistance, especially individuals who prefer anonymity convenience platform.The promises transformative each highlighted research. Cunzhou Ran's using communication, indicating (34). Graham explores use diagnosing treating disorders, suggesting enhanced accuracy plans (35). Saadia Gabriel's examination Large Language Models settings reveals broaden (36), emphasizes stringent standards.Lastly, Gilmar Gutierrez's review online underscores adherence engagement continuous (37). Collectively, significantly augment psychotherapeutic practice, careful consideration implications essential.Human committed face constraints terms physical resources impact large caseloads. model psychotherapy, involves one-on-one sessions lasting thirty minutes hour, inherently limits number therapist see daily. limitation becomes acute regions Can Replace Psychotherapists? high demand but professionals. scarcity lead increased wait times patients, delaying critical exacerbating conditions. Extended result deterioration conditions, poses serious challenges globally (38,39).The psychotherapists intense labor routinely engage distress clients. constant high-stress situations requires substantial investment burnout. Symptoms burnout among manifest exhaustion, depersonalization, reduced sense personal accomplishment, only impacts job satisfaction also affects performance. Over time, empathy attentiveness-key therapy-thereby negatively impacting satisfaction. toll thus higher turnover professionals, straining system provided (40,41,42).Personalization effectiveness, yet inherent extensively accurately tailor approaches patient. Despite best efforts, memory affect therapist's consistently integrate recall detailed histories subtle periods.These hinder fully personalize complex, co-morbid require approach. contrast, remember vast amounts information without prospects supporting precise interventions. handle datasets, identify patterns, details greater therapists, improved planning (43,44,45).AI enhances scalability services. Unlike presence geographic resource constraints, operate continuously fatigue. crucial, scarce (46,47).Additionally, costs, affordable accessible. economic operational reach well-documented(48).One unique advantages candidness openness exhibit interacting machines. Studies sometimesmore willing disclose sensitive due perceived non-judgmental nature (49,50). phenomenon honest exchanges during sessions, allowing accurate assessments treatment. absence judgment encourages disclosures stigma associated (21).AI consistency practitioners find challenging achieve variations mood, fatigue, bias. apply same standards protocols every ensuring all receive (51,52). Furthermore, influence judgment. programmed ignore irrelevant factors race, gender, socio-economic status, promoting equitable environment (53).While strong capabilities, still retention integration. Current external processes summarize track maintain coherent relationship oversight (54,55,56). continuity struggle retain past fragmented inconsistent interactions. remains currently advantage systems.Algorithmic bias concern application Akter, arise train unequal socioeconomic perpetuating existing (57). efforts minimize biases, unavoidable decisions made systems. settings, presented what emphasized. reflects priorities developers, unintended consequences patients.While AI-based therapies reducing short questionable. indicated diminish improvements observed(?). inability adapt needs periods. adjust ongoing deeper patient's history, flexibility term. highlights hybrid supports replace element psychotherapy.Beyond technical raises questions regarding privacy, autonomy, stigmatization patients. noted Walsh, systems, utilize biomarkers other data, navigate balance respecting privacy autonomy (58). design implementation prioritize considerations, including mitigate transparency, trust (59). Without misdiagnosis erosion therapists. Additionally, concept precision psychiatry, leverages needs, presents challenges. Fusar-Poli et al. (2022) emphasize bring psychiatric care(60).Despite there areas falls compared Firstly, form deep connections Human build rapport, (61,62). cannot authentically resonance, emotions. Secondly, rely intuition (63). They cues real-time, something do reliance predefined algorithms. adept interpreting non-verbal body facial expressions(64), insight state. text-based interactions, perceive cues. cultural competence sensitivity excel. align background(65), whereas grasp nuances, misunderstandings. Lastly, history(66). personalization extent, less experiences.As artificial intelligence advance, sophistication holds reshape landscape play addressing global service gap limited. scalable costeffective barriers cost, logistical challenges.However, limitations. Challenges retention, considerations empathy, judgment, cues-qualities intrinsic Sample al.be implemented complement competence, therapy.In emerging paradigm, envisioned replacement powerful automating routine tasks scarce, resources. Nevertheless, pursued caution, emphasizing fairness, respect rights, necessity oversight. Ongoing longterm safety When managed responsibly, progression step inclusive strategy, blending innovation irreplaceable value connection. undergoes another iteration, portion merely possibility likely scenario. towards gap, under-resourced starkly care.However, begins limitations.The cost-effective Yet, new individual, regardless location rights. progression, strategy.
Language: Английский
Citations
6