From machine learning to deep learning: Advances of the recent data-driven paradigm shift in medicine and healthcare

Current Research in Biotechnology, Journal Year: 2023, Volume and Issue: 7, P. 100164 - 100164

Published: Nov. 22, 2023

The medicine and healthcare sector has been evolving advancing very fast. advancement initiated shaped by the applications of data-driven, robust, efficient machine learning (ML) to deep (DL) technologies. ML in medical is developing quickly, causing rapid progress, reshaping medicine, improving clinician patient experiences. technologies evolved into data-hungry DL approaches, which are more robust dealing with data. This article reviews some critical data-driven aspects intelligence field. In this direction, illustrated recent progress science using two categories: firstly, development data uses and, secondly, Chabot particularly on ChatGPT. Here, we discuss ML, DL, transition requirements from DL. To science, illustrate prospective studies image data, newly interpretation EMR or EHR, big personalized dataset shifts artificial (AI). Simultaneously, recently developed DL-enabled ChatGPT technology. Finally, summarize broad role significant challenges for implementing healthcare. overview paradigm shift will benefit researchers immensely.

Language: Английский

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Harnessing technology integration in education: Strategies for enhancing learning outcomes and equity

World Journal of Advanced Engineering Technology and Sciences, Journal Year: 2024, Volume and Issue: 11(2), P. 001 - 008

Published: March 6, 2024

In contemporary educational settings, the integration of technology has become a pivotal aspect in shaping learning experiences and fostering equitable access to education. This review delves into strategies employed leverage effectively, aiming enhance outcomes promote equity within systems. The rapid evolution transformed traditional pedagogical approaches, offering diverse tools platforms engage learners across varied demographics. By strategically integrating frameworks, educators can tailor instruction accommodate styles facilitate personalized experiences. Furthermore, enables creation interactive immersive environments, student engagement motivation. However, achieving remains critical challenge, particularly underserved communities developing regions. Addressing this challenge necessitates proactive measures such as investing infrastructure, providing training for educators, implementing policies that prioritize digital inclusion. Moreover, effective goes beyond merely incorporating devices software classrooms. It involves aligning technological with goals, literacy skills among students, promoting thinking creativity through technology-mediated activities. highlights importance leveraging not only but also bridge divide adopting inclusive collaboration stakeholders, institutions harness full potential create more enriching environments all students.

Language: Английский

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The Integration of AI and Metaverse in Education: A Systematic Literature Review

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(2), P. 863 - 863

Published: Jan. 16, 2025

The use of the metaverse in educational environments has grown significantly recent years, particularly following shift major tech companies towards virtual worlds and immersive technologies. Virtual reality augmented technologies are employed to construct learning environments. is generally understood as a vast digital ecosystem or space, facilitating transition individuals from physical environments, applicable domains where practical experiments challenging fraught with risks, such space exploration, chemical experimentation, flight simulation training. In addition, integration artificial intelligence within contexts enriched environment, giving rise AI-driven teaching systems tailored each student’s individual pace modalities. As result, number research articles have been conducted explore applications education. This paper provides systematic literature review PRISMA methodology analyze investigate significance impact education, specific focus on AI metaverse. We address inquiries regarding applications, challenges, academic disciplines, effects integrating education that not yet explored most articles. Additionally, we study techniques used their roles. affirms utilization will enrich by improving students’ understanding comprehension across diverse disciplines.

Language: Английский

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Artificial Intelligence In Financial Services: Advancements In Fraud Detection, Risk Management, And Algorithmic Trading Optimization

Published: Jan. 1, 2025

Fraud detection, risk management, and algorithmic trading optimization are being revolutionized by AI in financial services. reduces false positives speeds up fraud detection spotting trends anomalies real time using advanced machine learning techniques. Financial institutions can now fight sophisticated cyber attacks with AI-powered systems that analyze massive databases detect illicit conduct unparalleled accuracy. predictive analytics changing how organizations identify mitigate risks. Institutions predict credit defaults, market swings, operational weaknesses big data AI. Natural language processing (NLP) techniques extracting insights from unstructured sources including regulatory filings news to improve decision-making. Real-time monitoring enable proactive interventions reduce losses assure compliance. is transforming trading, another breakthrough. Advanced models historical live price movements, find arbitrage opportunities, execute trades milliseconds. Reinforcement helping design adaptable algorithms respond changes, increasing profitability reducing risk. also promotes ethical transparent tactics, solving manipulation problems. This study analyses the newest applications services their disruptive influence. Generative AI, federated learning, quantum computing will further transform sector. adoption has many benefits, but privacy, bias, legal complexity must be addressed sustain progress. efficiency, resilience, creativity, creating a future where technology drives trust strategic advantage.

Language: Английский

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Artificial Intelligence In Retail And E-Commerce: Enhancing Customer Experience Through Personalization, Predictive Analytics, And Real-Time Engagement

Published: Jan. 1, 2025

AI is transforming retail and e-commerce with unprecedented personalization, predictive analytics, real-time customer involvement. AI-powered recommendation engines, chatbots, sentiment analysis tools enable customer-centric tactics as consumers want more personalized experiences. AI's capacity to analyze massive volumes of data allows merchants develop shopping experiences that boost pleasure loyalty. For instance, deep learning-based systems accurately predict client preferences, increasing conversion rates average order values. analytics changing inventory management, demand forecasting, pricing in retail. Stock levels, waste, profitability are optimized by machine learning algorithms examine historical sales data, market trends, behavior. Real-time insights dynamic models adjust instantaneously supply changes, maintaining competitiveness fast-paced e-commerce. AI-enabled engagement business-customer interactions. Conversational can answer questions instantly personally smart chatbots voice assistants, improving user experience lowering operational expenses. Visual technologies like image identification augmented reality virtual try-ons visual search, online purchasing. The use has highlighted ethical issues such privacy algorithmic fairness. Growing sustainably requires balancing consumer personalization trust. This paper examines how might improve experience, supported recent breakthroughs industry trends. It shows may purchasing while tackling implementation a digital economy.

Language: Английский

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Educational Horizons of the Metaverse: Vision, Opportunities, and Challenges

Metaverse Basic and Applied Research, Journal Year: 2023, Volume and Issue: 3, P. 60 - 60

Published: Dec. 26, 2023

The onset of the COVID-19 pandemic prompted a profound reconsideration our approaches to teaching and learning. metaverse, blending 3D digital realms with intersection reality virtual landscape, has emerged as prospective frontier in education, offering substantial promise. Despite its potential, scant attention been devoted current research examining metaverse through lens marking it relatively unexplored domain. In this article, we commence by presenting conceptualizations delving into inception, definitions, common attributes. Subsequently, precise delineation an educational context is articulated, accompanied elaborate framework that undergoes thorough exploration distinctive features. We expound upon four conceivable applications elucidating rationale providing illustrative cases for each: blended learning, language acquisition, competence-based inclusive practices. Our primary discoveries indicate terms "education," "application," "metaverse" appeared highest frequency demonstrated interconnectedness. Upon analysis, becomes evident concepts like "challenge," "teaching," "knowledge" have not received exhaustive attention. Concluding exploration, put forth spectrum topics are pertinent serving potential avenues future scholarly investigations.

Language: Английский

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A review of AI-driven pedagogical strategies for equitable access to science education

Magna Scientia Advanced Research and Reviews, Journal Year: 2024, Volume and Issue: 10(2), P. 044 - 054

Published: March 13, 2024

Access to quality science education is essential for equitable development and advancement in society. However, disparities access persist, particularly among marginalized underserved populations. Artificial intelligence (AI) offers innovative solutions address these by enhancing pedagogical strategies that promote education. This review examines AI-driven aimed at improving The explores how AI technologies, such as machine learning, natural language processing, computer vision, can be leveraged personalize learning experiences, provide real-time feedback, enhance engagement students from diverse backgrounds.AI-driven personalized platforms adapt individual styles pace, ensuring each student receives tailored instruction. These also additional support facing challenges, thus promoting inclusivity equity Furthermore, assessment tools educators with insights into performance comprehension, enabling them identify areas improvement targeted interventions. Additionally, facilitate collaborative environments, allowing work together irrespective of their physical location, breaking down geographical barriers access. the implementation raises ethical considerations, data privacy algorithmic bias, which must carefully addressed ensure all students. In conclusion, have potential revolutionize providing fostering inclusive environments. careful consideration given implications technologies are used responsibly equitably.

Language: Английский

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Distance learning and its relation to medical education in the present times

Deleted Journal, Journal Year: 2022, Volume and Issue: 1, P. 10 - 10

Published: Nov. 17, 2022

This scientific text addresses the evolution of distance education, highlighting crucial role information and communication technologies (ICT) in virtual education. The COVID-19 pandemic accelerated transition to especially Latin America, although challenges are faced due lack infrastructure Internet access remote areas. introduces key concepts such as well ICTs. It explores pedagogical theories, cyberculture connectivism, that support online teaching. Connectivism is highlighted a theory emphasizes importance connections learning changing uncontrolled environments. Suggestions for applying connectivism medical education provided, including use blogs, social networking, creation communities. also need constantly adapt teaching strategies keep up with advances field medicine health sciences. Several tools applied described, Zoom Google Meet videoconferencing platforms, Moodle Classroom platforms. In addition, design gamification mentioned, along clouds storage collaboration

Language: Английский

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A look at speech therapy for learners with behavioral disorders

Interdisciplinary Rehabilitation / Rehabilitacion Interdisciplinaria, Journal Year: 2023, Volume and Issue: 3, P. 58 - 58

Published: Sept. 23, 2023

Introduction: Socially, it is frequent to find dissimilar behavioral disorders and language alterations that show the dimension of further deepening in subject be treated, due its importance for pedagogical sciences public health, a joint effort between both sectors, order raise quality services from speech therapy care achieve an integral citizen tune with current demands society. Methods: Theoretical elements support existence problem approached possible ways solution were determined. For this reason, scientific posed as: how correct compensate associated logopedic care; as objective: care, paying great interest existing relationship behavior, most important means instrument socialization social being. Results: Language essential tool human complexity terms categorization, representation concepts, construction meanings. Speech should have comprehensive interdisciplinary approach address learners. Conclusion: effective correcting learners disorders, impacting their cognitive emotional development, involving families improving educational practice.

Language: Английский

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Achieving Organizational Effectiveness through Machine Learning Based Approaches for Malware Analysis and Detection

Data & Metadata, Journal Year: 2023, Volume and Issue: 2, P. 139 - 139

Published: Dec. 29, 2023

Introduction: as technology usage grows at an exponential rate, cybersecurity has become a primary concern. Cyber threats have increasingly advanced and specific, posing severe risk to individuals, businesses, even governments. The growing complexity sophistication of cyber-attacks are serious challenges traditional methods. As result, machine learning (ML) techniques emerged promising solution for detecting preventing these attacks. Aim: this research paper offers extensive examination diverse algorithms that the potential enhance intelligence overall functionality applications. Methods: main focus study is present core principles distinct methods demonstrate their versatile applications in various practical fields such systems, smart cities, healthcare, e-commerce, agriculture. By exploring applications, contributes understanding how can be effectively employed across different domains. article then explores current future prospects ML cybersecurity. Results: highlights importance increasing demand skilled professionals who develop implement ML-based solutions. Conclusion: overall, presents thorough role cybersecurity, well its prospects. It valuable source information researchers, seek grasp enhancing

Language: Английский

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