[HTML][HTML] Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review

D Yim, J Khuntia, V Parameswaran… - JMIR Medical …, 2024 - medinform.jmir.org
Background: Generative artificial intelligence tools and applications (GenAI) are being
increasingly used in health care. Physicians, specialists, and other providers have started …

Artificial intelligence and cancer control: toward prioritizing justice, equity, diversity, and inclusion (JEDI) in emerging decision support technologies

P Taber, JS Armin, G Orozco, G Del Fiol… - Current Oncology …, 2023 - Springer
Abstract Purpose for Review This perspective piece has two goals: first, to describe issues
related to artificial intelligence-based applications for cancer control as they may impact …

Validating inborn error of immunity prevalence and risk with nationally representative electronic health record data

NL Rider, A Truxton, T Ohrt, I Margolin-Katz… - Journal of Allergy and …, 2024 - Elsevier
Background The 10 Warning Signs of Primary Immunodeficiency were created 30 years ago
to advance recognition of inborn errors of immunity (IEI). However, no population-level …

Einsatz von KI-basierten Anwendungen durch Krankenhauspersonal: Aufgabenprofile und Qualifizierungsbedarfe

D Antweiler, D Albiez, D Bures, B Hosters… - Bundesgesundheitsblatt …, 2024 - Springer
Hintergrund Künstliche Intelligenz (KI) hat für Krankenhäuser wesentlich an Bedeutung
gewonnen. Um die umfangreichen Potenziale der Technologie tatsächlich nutzen zu …

Utilizing Artificial Intelligence for the Diagnosis, Assessment, and Management of Chronic Pain

H Zakeri, M Radmehr, F Khademi… - Journal of Biomedical …, 2023 - jbpe.sums.ac.ir
Chronic pain is a prevalent condition and the leading cause of work absenteeism worldwide.
This condition involves persistent pain lasting more than three months, significantly …

[HTML][HTML] Applying a user-centred design machine learning toolkit to an autism spectrum disorder use case

JM Plasek, L Zhou - BMJ Health & Care Informatics, 2023 - ncbi.nlm.nih.gov
Two BMJ Health & Care Informatics editors' choice papers present insights based on case
studies from real-world data and machine learning models for clinical risk prediction use …

Study on the effectiveness of AutoML in detecting cardiovascular disease

TV Afanasieva, AP Kuzlyakin, AV Komolov - arXiv preprint arXiv …, 2023 - arxiv.org
Cardiovascular diseases are widespread among patients with chronic noncommunicable
diseases and are one of the leading causes of death, including in the working age. The …

Moral Values in Medical AI: A Scoping Review

G Victor, A Barbu, JC Bélisle-Pipon - 2024 - researchsquare.com
This article presents a scoping review of the relevant research discussing the ethics of
medical artificial intelligence (AI). Relevant moral and human values can inform the design …

Comparative analysis of the accuracy of an automated machine learning model for detecting cardiovascular diseases

TV Afanasieva, AP Kuzlyakin, AV Komolov - International Journal of Open …, 2024 - injoit.ru
Abstract cardiovascular diseases (CVD) are widespread among patients with chronic non-
communicable diseases and are one of the leading causes of mortality in the population …

[HTML][HTML] Сравнительный анализ точности модели автоматизированного машинного обучения для выявления сердечно-сосудистых заболеваний

ТВ Афанасьева, АП Кузлякин… - International Journal of …, 2024 - cyberleninka.ru
Сердечно-сосудистые заболевания (ССЗ) широко распространены среди пациентов с
хроническими неинфекционными заболеваниями и являются одной из ведущих причин …