Revolutionizing healthcare: the role of artificial intelligence in clinical practice

SA Alowais, SS Alghamdi, N Alsuhebany… - BMC medical …, 2023 - Springer
Introduction Healthcare systems are complex and challenging for all stakeholders, but
artificial intelligence (AI) has transformed various fields, including healthcare, with the …

[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 …

Benefits, limits, and risks of GPT-4 as an AI chatbot for medicine

P Lee, S Bubeck, J Petro - New England Journal of Medicine, 2023 - Mass Medical Soc
Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine | New England Journal of
Medicine Skip to main content The New England Journal of Medicine homepage Advanced …

[HTML][HTML] The capability of ChatGPT in predicting and explaining common drug-drug interactions

A Juhi, N Pipil, S Santra, S Mondal, JK Behera… - Cureus, 2023 - ncbi.nlm.nih.gov
Background Drug-drug interactions (DDIs) can have serious consequences for patient
health and well-being. Patients who are taking multiple medications may be at an increased …

[HTML][HTML] Artificial intelligence and obesity management: an obesity medicine association (OMA) clinical practice statement (CPS) 2023

HE Bays, A Fitch, S Cuda, S Gonsahn-Bollie, E Rickey… - Obesity Pillars, 2023 - Elsevier
Abstract Background This Obesity Medicine Association (OMA) Clinical Practice Statement
(CPS) provides clinicians an overview of Artificial Intelligence, focused on the management …

Application of Artificial Intelligence in Drug–Drug Interactions Prediction: A Review

Y Zhang, Z Deng, X Xu, Y Feng… - Journal of chemical …, 2023 - ACS Publications
Drug–drug interactions (DDI) are a critical aspect of drug research that can have adverse
effects on patients and can lead to serious consequences. Predicting these events …

Influence of believed AI involvement on the perception of digital medical advice

M Reis, F Reis, W Kunde - Nature Medicine, 2024 - nature.com
Large language models offer novel opportunities to seek digital medical advice. While
previous research primarily addressed the performance of such artificial intelligence (AI) …

[HTML][HTML] Artificial intelligence in the field of pharmacy practice: A literature review

SH Chalasani, J Syed, M Ramesh, V Patil… - Exploratory Research in …, 2023 - Elsevier
Artificial intelligence (AI) is a transformative technology used in various industrial sectors
including healthcare. In pharmacy practice, AI has the potential to significantly improve …

HTCL-DDI: a hierarchical triple-view contrastive learning framework for drug–drug interaction prediction

R Zhang, X Wang, P Wang, Z Meng… - Briefings in …, 2023 - academic.oup.com
Drug–drug interaction (DDI) prediction can discover potential risks of drug combinations in
advance by detecting drug pairs that are likely to interact with each other, sparking an …

The artificial intelligence-powered new era in pharmaceutical research and development: A review

P Suriyaamporn, B Pamornpathomkul… - AAPS …, 2024 - Springer
Abstract Currently, artificial intelligence (AI), machine learning (ML), and deep learning (DL)
are gaining increased interest in many fields, particularly in pharmaceutical research and …