Exploring the Use and Implications of AI in Sexual and Reproductive Health and Rights: Protocol for a Scoping Review (Preprint) DOI
Tigest Tamrat, Yu Zhao, Denise Schalet

et al.

Published: Oct. 23, 2023

BACKGROUND Artificial intelligence (AI) has emerged as a transformative force across the health sector and garnered significant attention within sexual reproductive rights (SRHR) due to polarizing views on its opportunities advance care heightened risks implications it brings people’s well-being bodily autonomy. As fields of AI SRHR evolve, clarity is needed bridge our understanding how being used this historically politicized area raise visibility critical issues that can facilitate responsible meaningful use. OBJECTIVE This paper presents protocol for scoping review synthesize empirical studies focus intersection SRHR. The aims identify characteristics systems tools applied SRHR, regarding domains, intended purpose, target users, data life cycle, evidence benefits harms. METHODS follows standard methodology developed by Arksey O’Malley. We will search following electronic databases: MEDLINE (PubMed), Scopus, Web Science, CINAHL. Inclusion criteria comprise use in clear describing either quantitative or qualitative approaches, including program descriptions. Studies be excluded if they entirely digital interventions do not explicitly tools, are about robotics nonhuman subjects, commentaries. exclude articles based geographic location, language, publication date. study present uses purpose system maturity cycle. Outcome measures reported effect, accuracy, acceptability, resource use, feasibility have deployed evaluated tools. Ethical legal considerations, well findings from studies, synthesized through narrative thematic analysis. PRISMA-ScR (Preferred Reporting Items Systematic Reviews Meta-Analyses Extension Scoping Reviews) format findings. RESULTS database searches resulted 12,793 records when were conducted October 2023. Screening underway, analysis expected completed July 2024. CONCLUSIONS provide key insights usage patterns convey ethical, safety, considerations. outcomes contributing technical brief World Health Organization guide future research practice highly charged work. CLINICALTRIAL OSF Registries osf.io/ma4d9; https://osf.io/ma4d9 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/53888

Language: Английский

Artificial Intelligence and Its Role in Medical Research DOI Creative Commons
A Gola,

Ambarish Das,

Amar B. Gumataj

et al.

Current Medical Issues, Journal Year: 2024, Volume and Issue: 22(2), P. 97 - 101

Published: April 1, 2024

Abstract Artificial intelligence (AI) has emerged as a revolutionary mechanism in the field of science and technology. The role AI scientific research is becoming broader day by day. While making processes easier smoother, it also raising concerns among researchers regarding its ethical utility. Besides, decision-making process remains black box for scholars. This review seeks to provide comprehensive overview utilization AI-based tools medical research, along with an exploration associated challenges. search strategy involved querying PubMed using keywords such “Artificial intelligence,” “machine learning,” “medical research” identify relevant literature. significance inevitable. Researchers need accept fact that will soon be integral part at same time, current limitations alleviated so embraced community.

Language: Английский

Citations

0
Heliyon medical imaging: Shaping the future of health DOI Creative Commons
Andor W. J. M. Glaudemans, Tuan D. Pham

Heliyon, Journal Year: 2024, Volume and Issue: 10(12), P. e32395 - e32395

Published: June 1, 2024

Historically, the field of nuclear medicine has pioneered many innovations. Since year 2000, however, this resulted in an even more transformative landscape with breakthroughs specific radiopharmaceuticals, development SPECT/CT, PET/CT, and PET/MRI hybrid camera systems, exponential growth theranostics. A recent game changer was introduced a couple years ago implementation large-axial-field-of view PET/CT significant improvement sensitivity image quality, resulting lower administered activity doses, and/or reduction scan acquisition time to minutes. This not only leads higher patient throughput, but also possibility children or critically-ill patients, study organ axes, use PET as non-invasive tool for drug precision [2Slart R.H.J.A. Tsoumpas C. Glaudemans A.W.J.M. et al.Long axial scanners: road map new possibilities.Eur J Nucl Med Mol Imaging. 2021; 48: 4236-4245Crossref PubMed Scopus (55) Google Scholar]. branch medical imaging is optical imaging. technique relies on electromagnetic spectrum visualize cellular molecular function through tracer-based approach. Nowadays, mainly used surgical theatre during endoscopy provide real-time information, its potential periprocedural undeniable [3Vonk J. Dierckx R.A.J.O. Keereweer S. al.Why how should further be catalyzed by imaging: report from EANM piloting group.Eur 2024; (EPub ahead print)Crossref (0) All these techniques play invaluable role tumour imaging, staging, biopsy guiding, therapy prediction, early evaluation. But value clear oncology, other domains like neurology, cardiology, infectious diseases, lead personalized medicine, transforming landscape. These innovations have illuminated paths clinical insights treatment modalities surge data [4Glaudemans Scheerder B. al.The first internation network symposium artificial intelligence informatics medicine: "The bright future intelligence".Eur 51: 336-339Crossref (1) Artificial (AI) machine learning (ML) marked notable transformation healthcare [5Bohr A. Memarzadeh K. The rise applications.Artificial Intelligence Healthcare. 2020; 2020: 25-60Google Scholar, 6Bajwa Munir U. Nori Williams healthcare: practice medicine.Future Healthc 8: e188-e194Crossref 7Alowais S.A. Alghamdi S.S. Alsuhebany N. al.Revolutionizing practice.BMC Educ. 2023; 23: 689Crossref 8The Lancet Regional Health-EuropeEmbracing generative AI health care.Lancet Reg Health Eur. 30100677Google advanced technologies are enhancing diagnostic accuracy bridging critical gaps understanding complex particularly at intersection dental health. ML algorithms excel analysis vast amounts data, identifying patterns, predicting outcomes remarkable [9Oren O. Gersh B.J. Bhatt D.L. switching radiographic pathological clinically meaningful endpoints.The Lancet. Digital Health. 2: e486-e488Abstract Full Text PDF 10Hosny Parmar Quackenbush Schwartz L.H. Aerts H.J.W.L. radiology.Nat Rev Cancer. 2018; 18: 500-510Crossref (1875) In example, can diagnose dentomaxillofacial diseases [11Bornstein M. personalised - just hype true changers?.Br Dent 234: 755Crossref (3) Scholar], detect signs caries [12Ahmed W.M. Azhari A.A. Fawaz K.A. Ahmed H.M. Alsadah Z.M. Majumdar Carvalho R.M. detection classification caries.J Prosthet Dent. 26 (00478-X): S0022-3913Google periodontal [13Cholan P. Ramachandran L. Umesh S.G. P Tadepalli Impetus Periodontal Diagnosis: Brief Synopsis.Cureus. 15e43583Google oral cancers photographic images [14Tobias M.A.S. Nogueira B.P. Santana M.C.S. Pires R.G. Papa J.P. Santos P.S.S. cancer diagnosis: What possibilities?.Oral Oncol. 2022; 134106117Crossref (9) important prompt effective treatment, improving significantly. Moreover, relationship between systemic pathology gaining increasing attention. Research indicates relations among diabetes, cardiovascular pneumonia, symptoms [15Li X. Kolltveit K.M. Tronstad Olsen I. Systemic caused infection.Clin Microbiol Rev. 2000; 13: 547-558Crossref (837) AI-driven thus serve providing dual benefit both contexts. application limited diagnosis alone; it extends planning monitoring [16Panayides A.S. Amini Filipovic N.D. Sharma Tsaftaris Young Foran D. Do Golemati Kurc T. Huang Nikita K.S. Veasey Zervakis Saltz J.H. Pattichis C.S. informatics: Current challenges directions.IEEE Biomed Inform. 24: 1837-1857Crossref (225) 17Potocnik Foley Thomas E. applications practice: narrative review.J Imaging Radiat Sci. 54: 376-385Abstract Furthermore, unveiling into interplay communicable, non-communicable mental [18Okeibunor J.C. Jaca Iwu-Jaja C.J. Idemili-Aronu Ba H. Zantsi Z.P. Ndlambe A.M. Mavundza Muneene Wiysonge Makubalo delivery essential services across WHO regions: scoping review.Front Public 111102185Crossref (5) By analyzing large datasets diverse populations, identify previously unrecognized links risk factors, leading comprehensive prevention strategies targeted treatments. For correlation chronic infections [19Tu Wen C.P. Tsai S.P. Chow W.H. Ye Y. Zhao M.K. Dinney Tsao C.K. Wu Cancer associated disease markers: prospective cohort study.BMJ. 360k134PubMed Scholar] better understood analysis, facilitating interventions reducing burden. represents paradigm shift towards [20Gupta N.S. Kumar Perspective management: journey medicine.Comput Biol Med. 162107051Crossref (12) 21Koutsouleris Nikolaos Hauser Tobias Skvortsova Vasilisa Choudhury Munmun De From promise Towards realisation AI-informed care.The 4: e829-e840Abstract 22Hung K.F. Yeung A.W.K. Bornstein M.M. Schwendicke F. Personalized intelligence, their relevance imaging.Dentomaxillofac Radiol. 5220220335Crossref (21) As technology continues evolve, holds therapeutic capabilities fostering deeper systems underlying human lies synergy expertise, paving way that were once deemed unattainable. Heliyon Medical section aims promote publication high-quality papers significantly contribute developments focus systems. encouraging rigorous research innovative studies, seeks advance practice. Additionally, aspires highlight discoveries enhance communicable thereby driving forward frontiers science globally. On Ching Lo: Writing – review & editing ☒ authors declare they no known competing financial interests personal relationships could appeared influence work reported paper. ☐ following interests/personal which may considered interests:

Language: Английский

Citations

0
Artificial Intelligence Applications in Medical Imaging DOI

Euclid Seeram,

Vijay A. Kanade

Published: Jan. 1, 2024

Citations

0
The Ascending AI Era DOI

Rajnandini Yadav,

Krishna Prasath S.

Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 411 - 432

Published: Oct. 18, 2024

Newness is often subjected to speculation if not directed in the right direction. A phenomenon was observed during 2000 Dotcom Bubble. The advent of Internet opened possibilities but invited confusion along with. Stocks with ‘www' and ‘.com' started inflating markets while investors venture capitalists poured huge capital, causing overvaluation. All done anticipating potential gains without estimating earnings profitability metrics. similar frenzy took over present rise Artificial Intelligence. Statements comparison brewing between AI Dotcom. This chapter explores parameters that differentiate them by explaining concepts bubble formation, Equity Fund Flow, Leverage indicators, Earnings It further helps understand Theory Diffusion Innovation Technology Acceptance Model play a pivotal role shaping discourse from its stage nascency future, thus making it an asset rather than bubble.

Language: Английский

Citations

0
AI frontiers in emergency care: the next evolution of nursing interventions DOI Creative Commons
Zakaria A. Mani, Bander Albagawi

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: Dec. 11, 2024

This scoping review explores the utilization of artificial intelligence in emergency nursing, assessing its impact, potential benefits, and obstacles faced adoption. It covers scope AI from advanced triage protocols to continuous monitoring patients, assistance diagnosis, providing support for clinical decisions. The notes that healthcare can lead more efficient care timely, data-driven actions, but also highlights significant issues such as safeguarding patient data, necessity dependable infrastructure, concerns over discriminatory algorithms. promise improving practices is clear, yet identified challenges must be carefully navigated promote safe ethical use. Further empirical research called confirm effectiveness applications dynamic environment setups.

Language: Английский

Citations

0
Exploring the Use and Implications of AI in Sexual and Reproductive Health and Rights: Protocol for a Scoping Review (Preprint) DOI
Tigest Tamrat, Yu Zhao, Denise Schalet

et al.

Published: Oct. 23, 2023

BACKGROUND Artificial intelligence (AI) has emerged as a transformative force across the health sector and garnered significant attention within sexual reproductive rights (SRHR) due to polarizing views on its opportunities advance care heightened risks implications it brings people’s well-being bodily autonomy. As fields of AI SRHR evolve, clarity is needed bridge our understanding how being used this historically politicized area raise visibility critical issues that can facilitate responsible meaningful use. OBJECTIVE This paper presents protocol for scoping review synthesize empirical studies focus intersection SRHR. The aims identify characteristics systems tools applied SRHR, regarding domains, intended purpose, target users, data life cycle, evidence benefits harms. METHODS follows standard methodology developed by Arksey O’Malley. We will search following electronic databases: MEDLINE (PubMed), Scopus, Web Science, CINAHL. Inclusion criteria comprise use in clear describing either quantitative or qualitative approaches, including program descriptions. Studies be excluded if they entirely digital interventions do not explicitly tools, are about robotics nonhuman subjects, commentaries. exclude articles based geographic location, language, publication date. study present uses purpose system maturity cycle. Outcome measures reported effect, accuracy, acceptability, resource use, feasibility have deployed evaluated tools. Ethical legal considerations, well findings from studies, synthesized through narrative thematic analysis. PRISMA-ScR (Preferred Reporting Items Systematic Reviews Meta-Analyses Extension Scoping Reviews) format findings. RESULTS database searches resulted 12,793 records when were conducted October 2023. Screening underway, analysis expected completed July 2024. CONCLUSIONS provide key insights usage patterns convey ethical, safety, considerations. outcomes contributing technical brief World Health Organization guide future research practice highly charged work. CLINICALTRIAL OSF Registries osf.io/ma4d9; https://osf.io/ma4d9 INTERNATIONAL REGISTERED REPORT PRR1-10.2196/53888

Language: Английский

Citations

0