AIMC Topic: Clinical Decision-Making
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Generative artificial intelligence powered chatbots in urology.
Current opinion in urology
Mar 19, 2025
PURPOSE OF REVIEW: The integration of artificial intelligence (AI) into healthcare has significantly impacted the way healthcare is delivered, particularly with generative AI-powered chatbots. This review aims to provide an analysis of the applicatio...
Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences.
European journal of cancer (Oxford, England : 1990)
Mar 15, 2025
BACKGROUND: Decisions on the best available treatment in clinical oncology are based on expert opinions in multidisciplinary cancer conferences (MCC). Artificial intelligence (AI) could increase evidence-based treatment by generating additional treat...
Eligibility for eCPR Warming in Hypothermic Cardiac Arrest: Lack of Guidelines and the Current Constraints of Artificial Intelligence in Clinical Decision-Making.
Artificial organs
Mar 13, 2025
AIM OF THE STUDY: Artificial intelligence (AI) such as large language models (LLMs) tools are potential sources of information on hypothermic cardiac arrest (HCA). The aim of our study was to determine whether, for patients with HCA, LLMs provide inf...
Do Treatment Choices by Artificial Intelligence Correspond to Reality? Retrospective Comparative Research with Necrotizing Enterocolitis as a Use Case.
Medical decision making : an international journal of the Society for Medical Decision Making
Mar 12, 2025
BackgroundIn cases of surgical necrotizing enterocolitis (NEC), the choice between laparotomy (LAP) or comfort care (CC) presents a complex, ethical dilemma. A behavioral artificial intelligence technology (BAIT) decision aid was trained on expert kn...
Use and Usefulness of Risk Prediction Tools in Urologic Surgery: Current State and Path Forward.
Urology practice
Mar 11, 2025
INTRODUCTION: Although the enthusiasm for artificial intelligence (AI) to enhance surgical decision-making continues to grow, the preceding advance of risk prediction tools (RPTs) has had limited impact to date. To help inform the development of AI-p...
An intelligent multi-attribute decision-making system for clinical assessment of spinal cord disorder using fuzzy hypersoft rough approximations.
BMC medical informatics and decision making
Mar 10, 2025
The data for diagnosing spinal cord disorder (SCD) are complex and often confusing, making it difficult for established diagnostic techniques to yield reliable results. This issue frequently necessitates expensive testing to get an accurate diagnosis...
AI-Driven decision-making for personalized elderly care: a fuzzy MCDM-based framework for enhancing treatment recommendations.
BMC medical informatics and decision making
Mar 8, 2025
BACKGROUND: Global healthcare systems face enormous challenges due to the ageing population, demanding novel measures to assure long-term efficacy and viability. The expanding senior population, which requires specialised and efficient healthcare sol...
Artificial intelligence-based chatbot assistance in clinical decision-making for medically complex patients in oral surgery: a comparative study.
BMC oral health
Mar 7, 2025
AIM: This study aims to evaluate the potential of AI-based chatbots in assisting with clinical decision-making in the management of medically complex patients in oral surgery.
NLP modeling recommendations for restricted data availability in clinical settings.
BMC medical informatics and decision making
Mar 7, 2025
BACKGROUND: Clinical decision-making in healthcare often relies on unstructured text data, which can be challenging to analyze using traditional methods. Natural Language Processing (NLP) has emerged as a promising solution, but its application in cl...
Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms.
Scientific reports
Mar 7, 2025
Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor prognosis, especially when it is complicated by the presence of microvascular invasion (MVI). Identifying patients at high risk of MVI is crucial for...
Liver Neoplasms
Carcinoma, Hepatocellular
Single-Cell Gene Expression Analysis
Clinical Decision-Making
Biomarkers, Tumor
Risk Assessment
Neoplasm Invasiveness
Liver
Meta-Analysis as Topic
Mutation
Immunotherapy
Gene Expression Regulation, Neoplastic
Treatment Outcome
Humans
Machine Learning
Precision Medicine
Prognosis
Immune Checkpoint Proteins
Datasets as Topic
Kaplan-Meier Estimate
Microvessels
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