[HTML][HTML] Ethical implications of chatbot utilization in nephrology

OA Garcia Valencia, S Suppadungsuk… - Journal of Personalized …, 2023 - mdpi.com
This comprehensive critical review critically examines the ethical implications associated
with integrating chatbots into nephrology, aiming to identify concerns, propose policies, and …

Ensuring useful adoption of generative artificial intelligence in healthcare

JA Jindal, MP Lungren, NH Shah - Journal of the American …, 2024 - academic.oup.com
Objectives This article aims to examine how generative artificial intelligence (AI) can be
adopted with the most value in health systems, in response to the Executive Order on AI …

International consensus criteria for pediatric sepsis and septic shock

LJ Schlapbach, RS Watson, LR Sorce, AC Argent… - JAMA, 2024 - jamanetwork.com
Importance Sepsis is a leading cause of death among children worldwide. Current pediatric-
specific criteria for sepsis were published in 2005 based on expert opinion. In 2016, the …

Accelerating health disparities research with artificial intelligence

BL Green, A Murphy, E Robinson - Frontiers in Digital Health, 2024 - frontiersin.org
Health disparities are one of the most pressing health issues we face today, transcending
the boundaries of any single profession or discipline despite many decades of research and …

[HTML][HTML] Synthetic PET from CT improves diagnosis and prognosis for lung cancer: Proof of concept

M Salehjahromi, TV Karpinets, SJ Sujit, M Qayati… - Cell Reports …, 2024 - cell.com
Summary [18 F] Fluorodeoxyglucose positron emission tomography (FDG-PET) and
computed tomography (CT) are indispensable components in modern medicine. Although …

Ethics and artificial intelligence

LI Galiana, LC Gudino, PM González - Revista Clínica Española (English …, 2024 - Elsevier
The relationship between ethics and artificial intelligence in medicine is a crucial and
complex topic that falls within its broader context. Ethics in medical artificial intelligence (AI) …

[HTML][HTML] Chatting with artificial intelligence to combat antibiotic resistance: Opportunities and challenges

M Abavisani, A Khoshrou, SK Foroushan… - Current Research in …, 2024 - Elsevier
Antibiotic resistance (ABR) is a dire global health crisis, undermining the efficacy of
antibiotics and ranking among the top ten public health threats according to the World …

How large language models perform on the United States medical licensing examination: a systematic review

D Brin, V Sorin, E Konen, G Nadkarni, BS Glicksberg… - MedRxiv, 2023 - medrxiv.org
ABSTRACT Objective The United States Medical Licensing Examination (USMLE) assesses
physicians' competency and passing is a requirement to practice medicine in the US With …

What complexity science predicts about the potential of artificial intelligence/machine learning to improve primary care

RA Young, CM Martin, JP Sturmberg… - The Journal of the …, 2024 - Am Board Family Med
Primary care physicians are likely both excited and apprehensive at the prospects for
artificial intelligence (AI) and machine learning (ML). Complexity science may provide …

Confronting the disruption of the infectious diseases workforce by artificial intelligence: what this means for us and what we can do about it

BJ Langford, W Branch-Elliman, P Nori… - Open Forum …, 2024 - academic.oup.com
With the rapid advancement of artificial intelligence (AI), the field of infectious diseases (ID)
faces both innovation and disruption. AI and its subfields including machine learning, deep …