AI‐Empowered Evidence‐Based Research and Clinical Decision‐Making

Journal of Evidence-Based Medicine, Год журнала: 2025, Номер 18(1)

Опубликована: Март 1, 2025

Язык: Английский

---

Responsible CVD screening with a blockchain assisted chatbot powered by explainable AI

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 4, 2025

Cardiovascular disease (CVD) is rising as a significant concern for the healthcare sector around world. Researchers have applied multiple traditional approaches to making systems find new solutions CVD concern. Artificial Intelligence (AI) and blockchain are emerging that may be integrated into help responsible secure decision-making in dealing with concerns. Secure information needed while confidential patient data, especially decentralized technology (BCT) system requires strong encryption. However, AI blockchain-empowered could make people trust sector, mainly diagnosing areas like cardiovascular care. This research proposed an explainable (XAI) approach entangled BCT enhances interpretability responsibility health medical experts. XAI addressing prediction issues offers potential complex communication The performs better, highest accuracy of 97.12% compared earlier methods. achievement shows its ability tackle issues, accessible during decision processes.

Язык: Английский

---

Ethical approval and informed consent in mental health research: a scoping review

AI & Society, Год журнала: 2025, Номер unknown

Опубликована: Май 1, 2025

Abstract Although there is a wide range of scientific papers introducing artificial intelligence techniques in the mental health field, lack literature assessing reporting ethical concerns such studies. In addition, it not yet known whether authors seek approval or informed consent while performing research. This study aimed to investigate extent which studies domain that utilize chatbots either ignore incompletely disclose patient and from responsible review boards. A scoping search was performed PsychARTICLES, PubMed, Web Science using both MeSH terms free-text keywords. Following PRISMA-ScR guidelines, we also contacted verify missing information about consent, enhancing transparency rigor our analysis. Among 27 reviewed, 13 reported obtaining approval, 16 collecting consent. The remaining did provide information. These findings underscore complexities surrounding AI health, especially regarding collection, storage, use sensitive data. There correlation between sample size acquisition particularly published journals with low-impact factors. Future research should role journal policies influencing practices. training programs could be developed educate researchers on importance ethics, smaller sizes.

Язык: Английский

---

How Can Virtual Agents Scale Up Mentoring?: Insights from College Students’ Experiences Using the CareerFair.ai Platform at an American Hispanic-Serving Institution

International Journal of Artificial Intelligence in Education, Год журнала: 2025, Номер unknown

Опубликована: Май 23, 2025

Язык: Английский

---

Towards Edge AI and Varied Approaches of Digital Wellness in Healthcare Administration: A Study

Опубликована: Март 9, 2023

In contemporary time the uprising in terms of healthcare administration is quite acceptable with enablement technologies like Artificial Intelligence, Machine Learning, Deep Learning and lastly edge analytics collaboration IoT Cloud Computing. The overall management facilitated aid government agencies communities which requires a substantial effort from both ends. One areas informatics itself an interdisciplinary area apart that it facilities amalgamation varied fields computer science procedures, cognitive processes, information technology order to meet issues communal health, day wellness, support. A trustworthy AI model will be providing many novel approaches wellness for people every age group lives. manuscript discusses aspects digital Edge AI, Digital Wellness deliberation on conventional system further discoursing future prospects.

Язык: Английский

---

A pilot randomised controlled trial exploring the feasibility and efficacy of a human-AI sleep coaching model for improving sleep among university students

Digital Health, Год журнала: 2024, Номер 10

Опубликована: Янв. 1, 2024

Objective Sleep quality is a crucial concern, particularly among youth. The integration of health coaching with question-answering (QA) systems presents the potential to foster behavioural changes and enhance outcomes. This study proposes novel human-AI sleep model, combining by peers QA system, assesses its feasibility efficacy in improving university students’ quality. Methods In four-week unblinded pilot randomised controlled trial, 59 students (mean age: 21.9; 64% males) were randomly assigned intervention (health system; n = 30) or control conditions (QA 29). Outcomes included on (Pittsburgh Quality Index; PSQI), objective self-reported measures (obtained from Fitbit diaries) procedures intervention. Results Analysis revealed no significant differences (PSQI) between groups (adjusted mean difference −0.51, 95% CI: [−1.55–0.77], p 0.40). group demonstrated improvements total time 32.5, [5.9–59.1], 0.02) bed 32.3, [2.7–61.9], 0.03) compared group, although other insignificant. Adherence was high, majority attending all sessions. Most participants completed baseline post-intervention self-report measures, diary entries, consistently wore Fitbits during sleep. Conclusions proposed model showed specific for Future research may extend period see substantive improvements.

Язык: Английский

---

The DIKWP (Data, Information, Knowledge, Wisdom, Purpose) Revolution: A New Horizon in Medical Dispute Resolution

Applied Sciences, Год журнала: 2024, Номер 14(10), С. 3994 - 3994

Опубликована: Май 8, 2024

The doctor–patient relationship has received widespread attention as a significant global issue affecting people’s livelihoods. In clinical practice within the medical field, applying existing artificial intelligence (AI) technology presents issues such uncontrollability, inconsistency, and lack of self-explanation capabilities, even raising concerns about ethics morality. To address problem interaction differences arising from diagnosis treatment, we collected textual content dialogues in outpatient clinics local first-class hospitals. We utilized case scenario analysis, starting two specific cases: multi-patient visits with same doctor multi-doctor patient. By capturing external interactions internal thought processes, unify expressions subjective cognition into between data, information, knowledge, wisdom, purpose (DIKWP) models. propose DIKWP semantic model for on both sides, including cognitive model, to achieve transparency throughout entire process. semantically–bidirectionally map diagnostic discrepancy space uncertainty utilize purpose-driven fusion transformation technique disambiguate problem. Finally, select four traditional methods qualitative quantitative comparison our proposed method. results show that method performs better handling. Overall, processing breaks through limitations natural language semantics terms interpretability, enhancing interpretability It will help bridge gap doctors patients, easing disputes.

Язык: Английский

---

A Comprehensive Study of a Conversational AI-Driven Healthcare Bot with Pose Estimation for Precision Fitness Monitoring and Personalized Guidance

Опубликована: Фев. 24, 2024

Язык: Английский

---

Can ChatGPT provide health information as physicians do? Preliminary findings from a cross-sectional study of online medical consultation

Information Research an international electronic journal, Год журнала: 2024, Номер 29(2), С. 419 - 426

Опубликована: Июнь 18, 2024

Introduction. ChatGPT has shown promise in medical consultation. This paper presents the preliminary findings of evaluating capability responding to real-world patient questions from a point view, using physician responses as benchmark. Method. 24 and were collected Chinese professional consultation platform. The corresponding also collected. Five evaluators without background given both sources random order. Evaluations made terms quality presented empathy responses. Analysis. Evaluation scores analysed descriptive statistical method. Results. Preliminary demonstrated that could be considered dependable source for acquiring useful health information. However, it was not able present feeling patients compared with human physicians. Conclusion. We recommend physicians consider utilizing supplementary information when addressing general consultations improve experience seeking patients.

Язык: Английский

---

A Systematic Review of Research on ChatGPT

Advances in digital crime, forensics, and cyber terrorism book series, Год журнала: 2023, Номер unknown, С. 124 - 150

Опубликована: Сен. 7, 2023

This chapter investigates previous research themes and trending topics related to ChatGPT through a comprehensive analysis of the literature. An automated technique (web-scraping) was deployed retrieve compile all existing journal papers, conference proceedings, book chapters from major publisher databases in fields, abstracts selected articles were quantitatively analysed using probabilistic topic modeling procedure – latent Dirichlet allocation (LDA) approach. Based on identified by LDA model utilizing their most representative terms, 10 corresponding keywords have emerged results. The overall findings indicate that efforts this field primarily focused performance, user disposition, application practices, ethical privacy concerns. A conceptual framework delineated relationships between issues opportunities for future is also introduced.

Язык: Английский

---