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Exploring the impact of artificial intelligence on global health and enhancing healthcare in develo** nations
V Zuhair, A Babar, R Ali, MO Oduoye… - Journal of primary …, 2024 - journals.sagepub.com
Background: Artificial intelligence (AI), which combines computer science with extensive
datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost …
datasets, seeks to mimic human-like intelligence. Subsets of AI are being applied in almost …
[PDF][PDF] Artificial intelligence in the era of 4IR: drivers, challenges and opportunities
This abstract explores the intersection of Artificial Intelligence (AI) and the Fourth Industrial
Revolution (4IR), focusing on the drivers, challenges, and opportunities of this transformative …
Revolution (4IR), focusing on the drivers, challenges, and opportunities of this transformative …
[HTML][HTML] Are physicians ready for precision antibiotic prescribing? A qualitative analysis of the acceptance of artificial intelligence-enabled clinical decision support …
Objectives Artificial intelligence (AI)-driven clinical decision support systems (CDSSs) can
augment antibiotic decision-making capabilities, but physicians' hesitancy in adopting them …
augment antibiotic decision-making capabilities, but physicians' hesitancy in adopting them …
[HTML][HTML] Decision support systems in healthcare: systematic review, meta-analysis and prediction, with example of COVID-19
We conducted a systematic review using PRISMA (Preferred Reporting Items for Systematic
Reviews and Meta-Analysis) guidelines of articles published until September 2022 from …
Reviews and Meta-Analysis) guidelines of articles published until September 2022 from …
Transforming Healthcare in Low‐Resource Settings With Artificial Intelligence: Recent Developments and Outcomes
Background Artificial intelligence now encompasses technologies like machine learning,
natural language processing, and robotics, allowing machines to undertake complex tasks …
natural language processing, and robotics, allowing machines to undertake complex tasks …
Beyond transparency: computational reliabilism as an externalist epistemology of algorithms
JM Duran - 2024 - philsci-archive.pitt.edu
This chapter is interested in the epistemology of algorithms. As I intend to approach the
topic, this is an issue about epistemic justification. Current approaches to justification …
topic, this is an issue about epistemic justification. Current approaches to justification …
Sister partnership to overcome the global burden of cancer
N Magné, S Sotton, A Varges Gomes… - British Journal of …, 2024 - academic.oup.com
Emerging countries are currently facing an increasing burden of cancer while they do not
have adequate prevention, monitoring, and research capabilities to tackle the disease …
have adequate prevention, monitoring, and research capabilities to tackle the disease …
[HTML][HTML] Validating the Accuracy of a Patient-Facing Clinical Decision Support System in Predicting Lumbar Disc Herniation: Diagnostic Accuracy Study
Background: Low back pain (LBP) is a major cause of disability globally, and the diagnosis
of LBP is challenging for clinicians. Objective: Using new software called Therapha, this …
of LBP is challenging for clinicians. Objective: Using new software called Therapha, this …
Machine learning, justification, and computational reliabilism
JM Duran - 2023 - philsci-archive.pitt.edu
This article asks the question,``what is reliable machine learning?''As I intend to answer it,
this is a question about epistemic justification. Reliable machine learning gives justification …
this is a question about epistemic justification. Reliable machine learning gives justification …
Evaluating Physician-AI Interaction for Cancer Management: Paving the Path towards Precision Oncology
We evaluated how clinicians approach clinical decision-making when given findings from
both randomized controlled trials (RCTs) and machine learning (ML) models. To do so, we …
both randomized controlled trials (RCTs) and machine learning (ML) models. To do so, we …