Transformative Potential of AI in Healthcare: Definitions, Applications, and Navigating the Ethical Landscape and Public Perspectives

Healthcare, Journal Year: 2024, Volume and Issue: 12(2), P. 125 - 125

Published: Jan. 5, 2024

Artificial intelligence (AI) has emerged as a crucial tool in healthcare with the primary aim of improving patient outcomes and optimizing delivery. By harnessing machine learning algorithms, natural language processing, computer vision, AI enables analysis complex medical data. The integration into systems aims to support clinicians, personalize care, enhance population health, all while addressing challenges posed by rising costs limited resources. As subdivision science, focuses on development advanced algorithms capable performing tasks that were once reliant human intelligence. ultimate goal is achieve human-level performance improved efficiency accuracy problem-solving task execution, thereby reducing need for intervention. Various industries, including engineering, media/entertainment, finance, education, have already reaped significant benefits incorporating their operations. Notably, sector witnessed rapid growth utilization technology. Nevertheless, there remains untapped potential truly revolutionize industry. It important note despite concerns about job displacement, should not be viewed threat workers. Instead, are designed augment professionals, freeing up time focus more critical tasks. automating routine repetitive tasks, can alleviate burden allowing them dedicate attention care meaningful interactions. However, legal ethical must addressed when embracing technology medicine, alongside comprehensive public education ensure widespread acceptance.

Language: Английский

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Unleashing the power of AI: a systematic review of cutting-edge techniques in AI-enhanced scientometrics, webometrics and bibliometrics

Library Hi Tech, Journal Year: 2024, Volume and Issue: unknown

Published: Feb. 9, 2024

Purpose: The study aims to analyze the synergy of Artificial Intelligence (AI), with scientometrics, webometrics, and bibliometrics unlock emphasize potential applications benefits AI algorithms in these fields. Design/methodology/approach: By conducting a systematic literature review, our aim is explore revolutionizing methods used measure scholarly communication, identify emerging research trends, evaluate impact scientific publications. To achieve this, we implemented comprehensive search strategy across reputable databases such as ProQuest, IEEE Explore, EBSCO, Web Science, Scopus. Our encompassed articles published from January 1, 2000, September 2022, resulting thorough review 61 relevant articles. Findings: (i) Regarding application yields various distinct advantages, analyses publications, citations, prediction, collaboration, trend analysis, knowledge mapping, more objective reliable framework. (ii) In terms are able enhance web crawling data collection, link content social media recommender systems. (iii) Moreover, automation analysis disambiguation authors, co-authorship networks, assessment impact, text mining, systems considered integration field bibliometrics. Originality/value: This covers particularly new AI-enhanced highlight significant prospects this through AI.

Language: Английский

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Exploring a decade of deep learning in dentistry: A comprehensive mapping review

Clinical Oral Investigations, Journal Year: 2025, Volume and Issue: 29(2)

Published: Feb. 19, 2025

Language: Английский

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Toward interpretability of machine learning methods for the classification of patients with major depressive disorder based on functional network measures

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2023, Volume and Issue: 33(6)

Published: June 1, 2023

We address the interpretability of machine learning algorithm in context relevant problem discriminating between patients with major depressive disorder (MDD) and healthy controls using functional networks derived from resting-state magnetic resonance imaging data. applied linear discriminant analysis (LDA) to data 35 MDD 50 discriminate two groups utilizing networks' global measures as features. proposed combined approach for feature selection based on statistical methods wrapper-type algorithm. This revealed that are indistinguishable univariate space but become distinguishable a three-dimensional formed by identified most important features: mean node strength, clustering coefficient, number edges. LDA achieves highest accuracy when considering network all connections or only strongest ones. Our allowed us analyze separability classes multidimensional space, which is critical interpreting results models. demonstrated parametric planes control rotate increasing thresholding parameter their intersection increases approaching threshold 0.45, classification minimal. Overall, provides an effective interpretable scenario connectivity networks. can be other tasks achieve high while ensuring results.

Language: Английский

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Large language model use in clinical oncology

npj Precision Oncology, Journal Year: 2024, Volume and Issue: 8(1)

Published: Oct. 23, 2024

Large language models (LLMs) are undergoing intensive research for various healthcare domains. This systematic review and meta-analysis assesses current applications, methodologies, the performance of LLMs in clinical oncology. A mixed-methods approach was used to extract, summarize, compare methodological approaches outcomes. includes 34 studies. primarily evaluated on their ability answer oncologic questions across The highlights a significant variance, influenced by diverse methodologies evaluation criteria. Furthermore, differences inherent model capabilities, prompting strategies, oncological subdomains contribute heterogeneity. lack use standardized LLM-specific reporting protocols leads disparities, which must be addressed ensure comparability LLM ultimately leverage reliable integration technologies into practice.

Language: Английский

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Artificial Intelligence in Commercial Industry: Serving the End-to-End Patient Experience Across the Digital Ecosystem

Arthroscopy The Journal of Arthroscopic and Related Surgery, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

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From traditional algorithms to artificial intelligence: a review of the development of sensory substitution sonification methods

The European Physical Journal Special Topics, Journal Year: 2025, Volume and Issue: unknown

Published: April 7, 2025

Language: Английский

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Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation

The European Physical Journal Special Topics, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 12, 2024

Language: Английский

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Two-Stage Approach With Combination of Outlier Detection Method and Deep Learning Enhances Automatic Epileptic Seizure Detection

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 122168 - 122182

Published: Jan. 1, 2024

Language: Английский

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AI-Driven Content Developing and Designing for Teaching Materials of Digital Healthcare

Advances in medical diagnosis, treatment, and care (AMDTC) book series, Journal Year: 2024, Volume and Issue: unknown, P. 238 - 257

Published: Feb. 26, 2024

The aim of this research is to contribute knowledge on English language teaching materials with public health content based AI-based design. authors sought student input and information before starting design modules for EFL AI-powered classes. subjects were 51 students two lecturers determine their needs. Based these findings, all strongly agree provide learning courses in higher education.

Language: Английский

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