专题:Artificial Intelligence in Healthcare

This cluster of papers focuses on the application of machine learning, big data analytics, and data mining techniques in healthcare and medicine. It covers topics such as medical diagnosis, classification models, heart disease prediction, and the use of support vector machines and logistic regression. The cluster emphasizes the potential of machine learning in improving healthcare outcomes through advanced data analysis.
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近5年高被引文献
TRIPOD+AI statement: updated guidance for reporting clinical prediction models that use regression or machine learning methods

article Full Text OpenAlex 4431 FWCI1221.7551

Revolutionizing healthcare: the role of artificial intelligence in clinical practice

article Full Text OpenAlex 3124 FWCI107.2401

AI in health and medicine

article Full Text OpenAlex 2972 FWCI113.1159

Comparing Physician and Artificial Intelligence Chatbot Responses to Patient Questions Posted to a Public Social Media Forum

article Full Text OpenAlex 2574 FWCI88.2447

Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine

article Full Text OpenAlex 1713 FWCI58.7725

Artificial Intelligence and Machine Learning in Clinical Medicine, 2023

article Full Text OpenAlex 1209 FWCI41.5496

ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations

article Full Text OpenAlex 1201 FWCI41.2793

RETRACTED ARTICLE: Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda

review Full Text OpenAlex 1036 FWCI38.4683

PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods

article Full Text OpenAlex 990 FWCI596.397

On evaluation metrics for medical applications of artificial intelligence

article Full Text OpenAlex 941 FWCI39.2255