Revolutionizing Radiology with Natural Language Processing and Chatbot Technologies: A Narrative Umbrella Review on Current Trends and Future Directions DOI Open Access
Andrea Lastrucci,

Yannick Wandael,

Angelo Barra

и другие.

Journal of Clinical Medicine, Год журнала: 2024, Номер 13(23), С. 7337 - 7337

Опубликована: Дек. 2, 2024

The application of chatbots and NLP in radiology is an emerging field, currently characterized by a growing body research. An umbrella review has been proposed utilizing standardized checklist quality control procedure for including scientific papers. This explores the early developments potential future impact these technologies radiology. current literature, comprising 15 systematic reviews, highlights potentialities, opportunities, areas needing improvements, recommendations. offers comprehensive overview landscape natural language processing (NLP) models (NLMs), chatbots, healthcare. These show improving clinical decision-making, patient engagement, communication across various medical fields. However, significant challenges remain, particularly lack protocols, which raises concerns about reliability consistency tools different contexts. Without uniform guidelines, variability outcomes may hinder broader adoption NLP/NLM healthcare providers. Moreover, limited research on how intersect with devices (MDs) notable gap literature. Future must address to fully realize applications Key directions include development protocols ensure consistent safe deployment tools, high-stake like Investigating integration MD workflows will be crucial enhance decision-making care. Ethical concerns, such as data privacy, informed consent, algorithmic bias, also explored responsible use settings. Longitudinal studies are needed evaluate long-term outcomes, while interdisciplinary collaboration between professionals, scientists, ethicists essential driving innovation ethically sound manner. Addressing advance improve care this field.

Язык: Английский

Governance and Ethics in the Use of Artificial Intelligence in Health DOI
Patricia Gesser da Costa, Andréia de Bem Machado, Inara Antunes Vieira Willerding

и другие.

IGI Global eBooks, Год журнала: 2025, Номер unknown, С. 377 - 392

Опубликована: Март 7, 2025

Governance and ethics in the use of artificial intelligence (AI) healthcare pose fundamental questions to ensure that emerging technologies are implemented a safe, fair, transparent manner. The increasing AI sector offers great opportunities improve patient care, optimize treatments health protocols, increase efficiency products services, but it also raises significant challenges regarding privacy, equity, transparency, accountability. This article aims answer research question: “How important is adopt governance practices ethical precepts systems healthcare?” Through an integrative literature review Scopus Web Science databases, 11 studies were selected present, different ways, solutions for technological innovations benefit patients, professionals, society fair safe

Язык: Английский

Процитировано

0

Advancements in Digital Cytopathology Since COVID-19: Insights from a Narrative Review of Review Articles DOI Open Access
Daniele Giansanti

Healthcare, Год журнала: 2025, Номер 13(6), С. 657 - 657

Опубликована: Март 17, 2025

Background/Objectives: The integration of digitalization in cytopathology is an emerging field with transformative potential, aiming to enhance diagnostic precision and operational efficiency. This narrative review reviews (NRR) seeks identify prevailing themes, opportunities, challenges, recommendations related the process cytopathology. Methods: Utilizing a standardized checklist quality control procedures, this examines recent advancements future implications domain. Twenty-one studies were selected through systematic process. Results: results highlight key trends, digital First, study identifies pivotal themes that reflect ongoing technological transformation, guiding focus areas field. A major trend artificial intelligence (AI), which increasingly critical improving accuracy, streamlining workflows, assisting decision making. Notably, AI technologies like large language models (LLMs) chatbots are expected provide real-time support automate tasks, though concerns around ethics privacy must be addressed. also emphasize need for protocols, comprehensive training, rigorous validation ensure tools reliable effective across clinical settings. Lastly, holds significant potential improve healthcare accessibility, especially remote areas, by enabling faster, more efficient diagnoses fostering global collaboration telepathology. Conclusions: Overall, highlights impact cytopathology, efficiency, accessibility whole-slide imaging While plays role, broader on integrating solutions workflows collaboration. Addressing challenges such as standardization, ethical considerations crucial fully realize these advancements.

Язык: Английский

Процитировано

0

Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness DOI Creative Commons
Muhammad Khalid Anser, Agha Amad Nabi, Ishfaq Ahmad

и другие.

Health care science, Год журнала: 2025, Номер unknown

Опубликована: Май 31, 2025

ABSTRACT An individual's mental health influences their capacity to think effectively, feel emotionally stable, and perform daily activities. As concerns become more prevalent worldwide, new awareness diagnostic treatment tactics are needed. Digital tools technology helping solve these problems by providing scalable, tailored solutions for large populations. This detailed review examines health‐promoting internet tools. Smartphone applications, web‐based therapy systems, wearable tech, artificial intelligence‐powered resources, virtual reality (VR) technologies were evaluated efficacy side effects. PubMed, PsycINFO, Scopus, IEEE Xplore, Google Scholar carefully searched. Search terms included “digital tools,” “online therapy,” “AI in health.” Randomized controlled trials, cohort studies, cross‐sectional systematic reviews, meta‐analyses of digital from among the literature published after 2010. Cognitive behavioral methods, mood monitoring, mindfulness exercises numerous features smartphone applications that have been demonstrated mitigate symptoms anxiety, depression, tension. Online platforms let marginalized individuals obtain remotely. Wearable may detect heart rate, blood pressure, sleep length, which reveal difficulties. Chatbots employ machine learning algorithms natural language processing deliver customized support show promise quick intervention. Exposure anxiety trauma is increasingly using environments. Although therapies face challenges relation data privacy, limited long‐term efficacy, technological inequality, modernizing healthcare. By offering inexpensive effective alternatives traditional therapies, help healthcare systems meet growing demand services overall well‐being.

Язык: Английский

Процитировано

0

AI in Cytopathology: A Narrative Umbrella Review on Innovations, Challenges, and Future Directions DOI Open Access
Daniele Giansanti

Journal of Clinical Medicine, Год журнала: 2024, Номер 13(22), С. 6745 - 6745

Опубликована: Ноя. 9, 2024

The integration of artificial intelligence (AI) in cytopathology is an emerging field with transformative potential, aiming to enhance diagnostic precision and operational efficiency. This umbrella review seeks identify prevailing themes, opportunities, challenges, recommendations related AI cytopathology. Utilizing a standardized checklist quality control procedures, this examines recent advancements future implications technologies domain. Twenty-one studies were selected through systematic process. has demonstrated promise automating refining processes, potentially reducing errors improving patient outcomes. However, several critical challenges need be addressed realize the benefits fully. underscores necessity for rigorous validation, ongoing empirical data on accuracy, protocols, effective existing clinical workflows. Ethical issues, including privacy algorithmic bias, must managed ensure responsible applications. Additionally, high costs substantial training requirements present barriers widespread adoption. Future directions highlight importance applying successful strategies from histopathology radiology Continuous research needed improve model interpretability, standardization. Developing incorporating into practice establishing comprehensive ethical regulatory frameworks will crucial overcoming these challenges. In conclusion, while holds significant advancing cytopathology, its full potential can only achieved by addressing cost, ethics. provides overview current advancements, identifies offers roadmap informed insights fields.

Язык: Английский

Процитировано

2

Revolutionizing Radiology with Natural Language Processing and Chatbot Technologies: A Narrative Umbrella Review on Current Trends and Future Directions DOI Open Access
Andrea Lastrucci,

Yannick Wandael,

Angelo Barra

и другие.

Journal of Clinical Medicine, Год журнала: 2024, Номер 13(23), С. 7337 - 7337

Опубликована: Дек. 2, 2024

The application of chatbots and NLP in radiology is an emerging field, currently characterized by a growing body research. An umbrella review has been proposed utilizing standardized checklist quality control procedure for including scientific papers. This explores the early developments potential future impact these technologies radiology. current literature, comprising 15 systematic reviews, highlights potentialities, opportunities, areas needing improvements, recommendations. offers comprehensive overview landscape natural language processing (NLP) models (NLMs), chatbots, healthcare. These show improving clinical decision-making, patient engagement, communication across various medical fields. However, significant challenges remain, particularly lack protocols, which raises concerns about reliability consistency tools different contexts. Without uniform guidelines, variability outcomes may hinder broader adoption NLP/NLM healthcare providers. Moreover, limited research on how intersect with devices (MDs) notable gap literature. Future must address to fully realize applications Key directions include development protocols ensure consistent safe deployment tools, high-stake like Investigating integration MD workflows will be crucial enhance decision-making care. Ethical concerns, such as data privacy, informed consent, algorithmic bias, also explored responsible use settings. Longitudinal studies are needed evaluate long-term outcomes, while interdisciplinary collaboration between professionals, scientists, ethicists essential driving innovation ethically sound manner. Addressing advance improve care this field.

Язык: Английский

Процитировано

1