IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 84785 - 84802
Published: Jan. 1, 2024
Language: Английский
Cureus, Journal Year: 2023, Volume and Issue: unknown
Published: Aug. 10, 2023
The integration of artificial intelligence (AI) into healthcare promises groundbreaking advancements in patient care, revolutionizing clinical diagnosis, predictive medicine, and decision-making. This transformative technology uses machine learning, natural language processing, large models (LLMs) to process reason like human intelligence. OpenAI's ChatGPT, a sophisticated LLM, holds immense potential medical practice, research, education. However, as AI gains momentum, it brings forth profound ethical challenges that demand careful consideration. comprehensive review explores key concerns the domain, including privacy, transparency, trust, responsibility, bias, data quality. Protecting privacy data-driven is crucial, with implications for psychological well-being sharing. Strategies homomorphic encryption (HE) secure multiparty computation (SMPC) are vital preserving confidentiality. Transparency trustworthiness systems essential, particularly high-risk decision-making scenarios. Explainable (XAI) emerges critical aspect, ensuring clear understanding AI-generated predictions. Cybersecurity becomes pressing concern AI's complexity creates vulnerabilities breaches. Determining responsibility AI-driven outcomes raises important questions, debates on moral agency accountability. Shifting from ownership stewardship enables responsible management compliance regulations. Addressing bias crucial avoid inequities. Biases present collection algorithm development can perpetuate disparities. A public-health approach advocated address inequalities promote diversity research workforce. Maintaining quality imperative applications, convolutional neural networks showing promise multi-input/mixed models, offering perspective. In this ever-evolving landscape, adopt multidimensional involving policymakers, developers, practitioners, patients mitigate concerns. By addressing these challenges, we harness full while equitable outcomes.
Language: Английский
Citations
129
Neural Computing and Applications, Journal Year: 2023, Volume and Issue: 35(31), P. 23103 - 23124
Published: Sept. 7, 2023
Abstract The current development in deep learning is witnessing an exponential transition into automation applications. This can provide a promising framework for higher performance and lower complexity. ongoing undergoes several rapid changes, resulting the processing of data by studies, while it may lead to time-consuming costly models. Thus, address these challenges, studies have been conducted investigate techniques; however, they mostly focused on specific approaches, such as supervised learning. In addition, did not comprehensively other techniques, unsupervised reinforcement techniques. Moreover, majority neglect discuss some main methodologies learning, transfer federated online Therefore, motivated limitations existing this study summarizes techniques supervised, unsupervised, reinforcement, hybrid learning-based addition each category, brief description categories their models provided. Some critical topics namely, transfer, federated, models, are explored discussed detail. Finally, challenges future directions outlined wider outlooks researchers.
Language: Английский
Citations
121
AI, Journal Year: 2023, Volume and Issue: 4(3), P. 652 - 666
Published: Aug. 10, 2023
Artificial Intelligence (AI) describes computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Examples of AI techniques are machine learning, neural networks, deep learning. can be applied in many different areas, econometrics, biometry, e-commerce, the automotive industry. In recent years, has found its way into healthcare well, helping doctors make better decisions (“clinical decision support”), localizing tumors magnetic resonance images, reading analyzing reports written by radiologists pathologists, much more. However, one big risk: it perceived a “black box”, limiting trust reliability, which is very issue an area mean life or death. As result, term Explainable (XAI) been gaining momentum. XAI tries ensure algorithms (and resulting decisions) understood humans. this narrative review, we will have look at some central concepts XAI, describe several challenges around healthcare, discuss whether really help advance, for example, increasing understanding trust. Finally, alternatives increase discussed, well future research possibilities XAI.
Language: Английский
Citations
108
Sensors, Journal Year: 2023, Volume and Issue: 23(14), P. 6434 - 6434
Published: July 16, 2023
The electroencephalography (EEG) signal is a noninvasive and complex that has numerous applications in biomedical fields, including sleep the brain–computer interface. Given its complexity, researchers have proposed several advanced preprocessing feature extraction methods to analyze EEG signals. In this study, we comprehensive review of articles related processing. We searched major scientific engineering databases summarized results our findings. Our survey encompassed entire process processing, from acquisition pretreatment (denoising) extraction, classification, application. present detailed discussion comparison various techniques used for Additionally, identify current limitations these their future development trends. conclude by offering some suggestions research field
Language: Английский
Citations
98
Applied Biosciences, Journal Year: 2024, Volume and Issue: 3(1), P. 14 - 44
Published: Jan. 1, 2024
The purpose of this literature review is to provide a fundamental synopsis current research pertaining artificial intelligence (AI) within the domain clinical practice. Artificial has revolutionized field medicine and healthcare by providing innovative solutions complex problems. One most important benefits AI in practice its ability investigate extensive volumes data with efficiency precision. This led development various applications that have improved patient outcomes reduced workload professionals. can support doctors making more accurate diagnoses developing personalized treatment plans. Successful examples are outlined for series medical specialties like cardiology, surgery, gastroenterology, pneumology, nephrology, urology, dermatology, orthopedics, neurology, gynecology, ophthalmology, pediatrics, hematology, critically ill patients, as well diagnostic methods. Special reference made legal ethical considerations accuracy, informed consent, privacy issues, security, regulatory framework, product liability, explainability, transparency. Finally, closes appraising use future perspectives. However, it also approach implementation cautiously ensure met.
Language: Английский
Citations
97
Sensors, Journal Year: 2023, Volume and Issue: 23(17), P. 7435 - 7435
Published: Aug. 25, 2023
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It provides approaches to achieving precision medicine that delivers healthcare services based on patient's characteristics. Moreover, enables telemedicine, including telesurgery, early predictions, and diagnosis diseases. This represents an important for modern societies, especially current situation pandemics. The release fifth-generation cellular system (5G), advances in wearable device manufacturing, technologies, e.g., artificial intelligence (AI), edge computing, Internet Things (IoT), are main drivers evolutions systems. To this end, work considers introducing advances, trends, requirements Medical (IoMT) ultimate such networks era 5G next-generation discussed. design challenges research directions these networks. key enabling technologies systems, AI distributed
Language: Английский
Citations
88
Scientific Reports, Journal Year: 2023, Volume and Issue: 13(1)
Published: June 13, 2023
Autism spectrum disorder (ASD) presents a neurological and developmental that has an impact on the social cognitive skills of children causing repetitive behaviours, restricted interests, communication problems difficulty in interaction. Early diagnosis ASD can prevent from its severity prolonged effects. Federated learning (FL) is one most recent techniques be applied for accurate diagnoses early stages or prevention long-term In this article, FL technique been uniquely autism detection by training two different ML classifiers including logistic regression support vector machine locally classification factors adults. Due to FL, results obtained these have transmitted central server where meta classifier trained determine which approach Four patient datasets, each containing more than 600 records effected adults repository features extraction. The proposed model predicted with 98% accuracy (in children) 81% adults).
Language: Английский
Citations
70
Human-Centric Intelligent Systems, Journal Year: 2023, Volume and Issue: 3(3), P. 161 - 188
Published: Aug. 10, 2023
Abstract In recent years, artificial intelligence (AI) technology has been used in most if not all domains and greatly benefited our lives. While AI can accurately extract critical features valuable information from large amounts of data to help people complete tasks faster, there are growing concerns about the non-transparency decision-making process. The emergence explainable (XAI) allowed humans better understand control systems, which is motivated provide transparent explanations for decisions made by AI. This article aims present a comprehensive overview research on XAI approaches three well-defined taxonomies. We offer an in-depth analysis summary status prospects applications several key areas where reliable urgently needed avoid mistakes decision-making. conclude discussing XAI’s limitations future directions.
Language: Английский
Citations
67
Computers & Electrical Engineering, Journal Year: 2024, Volume and Issue: 118, P. 109370 - 109370
Published: June 7, 2024
Language: Английский
Citations
58
Cogent Engineering, Journal Year: 2023, Volume and Issue: 10(2)
Published: Oct. 25, 2023
Language: Английский
Citations
53