[HTML][HTML] Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

Y Kumar, A Koul, R Singla, MF Ijaz - Journal of ambient intelligence and …, 2023 - Springer
Artificial intelligence can assist providers in a variety of patient care and intelligent health
systems. Artificial intelligence techniques ranging from machine learning to deep learning …

2022 ESC/ERS Guidelines for the diagnosis and treatment of pulmonary hypertension: Developed by the task force for the diagnosis and treatment of pulmonary …

M Humbert, G Kovacs, MM Hoeper… - European heart …, 2022 - academic.oup.com
Pulmonary hypertension (PH) is a pathophysiological disorder that may involve multiple
clinical conditions and may be associated with a variety of cardiovascular and respiratory …

Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development

NR Mannuru, S Shahriar, ZA Teel… - Information …, 2023 - journals.sagepub.com
This paper explores the potential impact of Generative Artificial Intelligence (Generative AI)
on developing countries, considering both positive and negative effects across various …

[HTML][HTML] Future medical artificial intelligence application requirements and expectations of physicians in German university hospitals: web-based survey

O Maassen, S Fritsch, J Palm, S Deffge, J Kunze… - Journal of medical …, 2021 - jmir.org
Background The increasing development of artificial intelligence (AI) systems in medicine
driven by researchers and entrepreneurs goes along with enormous expectations for …

[HTML][HTML] Identifying early pulmonary arterial hypertension biomarkers in systemic sclerosis: machine learning on proteomics from the DETECT cohort

Y Bauer, S de Bernard, P Hickey… - European …, 2021 - Eur Respiratory Soc
Pulmonary arterial hypertension (PAH) is a devastating complication of systemic sclerosis
(SSc). Screening for PAH in SSc has increased detection, allowed early treatment for PAH …

[HTML][HTML] Artificial intelligence technologies in cardiology

Ł Ledziński, G Grześk - Journal of Cardiovascular Development and …, 2023 - mdpi.com
As the world produces exabytes of data, there is a growing need to find new methods that
are more suitable for dealing with complex datasets. Artificial intelligence (AI) has significant …

Harnessing big data to advance treatment and understanding of pulmonary hypertension

CJ Rhodes, AJ Sweatt, BA Maron - Circulation research, 2022 - Am Heart Assoc
Pulmonary hypertension is a complex disease with multiple causes, corresponding to
phenotypic heterogeneity and variable therapeutic responses. Advancing understanding of …

[HTML][HTML] Applications of Artificial Intelligence (AI) for cardiology during COVID-19 pandemic

A Haleem, M Javaid, RP Singh, R Suman - Sustainable Operations and …, 2021 - Elsevier
Abstract Background and aims Artificial Intelligence (AI) shows extensive capabilities to
impact different healthcare areas during the COVID-19 pandemic positively. This paper tries …

[HTML][HTML] A diagnostic miRNA signature for pulmonary arterial hypertension using a consensus machine learning approach

N Errington, J Iremonger, JA Pickworth, S Kariotis… - …, 2021 - thelancet.com
Background Pulmonary arterial hypertension (PAH) is a rare but life shortening disease, the
diagnosis of which is often delayed, and requires an invasive right heart catheterisation …

'If You're Going to Trust the Machine, Then That Trust Has Got to Be Based on Something':: Validation and the Co-Constitution of Trust in Developing Artificial …

P Winter, A Carusi - Science & Technology …, 2022 - sciencetechnologystudies.journal.fi
The role of Artificial Intelligence (AI) in clinical decision-making raises issues of trust. One
issue concerns the conditions of trusting the AI which tends to be based on validation …