AI Medical Compendium Topic

Explore the latest research on artificial intelligence and machine learning in medicine.

Language

Showing 391 to 400 of 1263 articles

Clear Filters

Assessment of the capacity of ChatGPT as a self-learning tool in medical pharmacology: a study using MCQs.

BMC medical education
BACKGROUND: ChatGPT is a large language model developed by OpenAI that exhibits a remarkable ability to simulate human speech. This investigation attempts to evaluate the potential of ChatGPT as a standalone self-learning tool, with specific attentio...

MetaQA: Enhancing human-centered data search using Generative Pre-trained Transformer (GPT) language model and artificial intelligence.

PloS one
Accessing and utilizing geospatial data from various sources is essential for developing scientific research to address complex scientific and societal challenges that require interdisciplinary knowledge. The traditional keyword-based geosearch appro...

Examining ChatGPT Performance on USMLE Sample Items and Implications for Assessment.

Academic medicine : journal of the Association of American Medical Colleges
PURPOSE: In late 2022 and early 2023, reports that ChatGPT could pass the United States Medical Licensing Examination (USMLE) generated considerable excitement, and media response suggested ChatGPT has credible medical knowledge. This report analyzes...

Self-supervised multi-modal training from uncurated images and reports enables monitoring AI in radiology.

Medical image analysis
The escalating demand for artificial intelligence (AI) systems that can monitor and supervise human errors and abnormalities in healthcare presents unique challenges. Recent advances in vision-language models reveal the challenges of monitoring AI by...

Towards audio-based identification of Ethio-Semitic languages using recurrent neural network.

Scientific reports
In recent times, there is an increasing interest in employing technology to process natural language with the aim of providing information that can benefit society. Language identification refers to the process of detecting which speech a speaker app...

The Impact of Multimodal Large Language Models on Health Care's Future.

Journal of medical Internet research
When large language models (LLMs) were introduced to the public at large in late 2022 with ChatGPT (OpenAI), the interest was unprecedented, with more than 1 billion unique users within 90 days. Until the introduction of Generative Pre-trained Transf...

Deep Learning for Genomics: From Early Neural Nets to Modern Large Language Models.

International journal of molecular sciences
The data explosion driven by advancements in genomic research, such as high-throughput sequencing techniques, is constantly challenging conventional methods used in genomics. In parallel with the urgent demand for robust algorithms, deep learning has...

Deep learning-enabled natural language processing to identify directional pharmacokinetic drug-drug interactions.

BMC bioinformatics
BACKGROUND: During drug development, it is essential to gather information about the change of clinical exposure of a drug (object) due to the pharmacokinetic (PK) drug-drug interactions (DDIs) with another drug (precipitant). While many natural lang...

Conversational Agents in Health Care: Expert Interviews to Inform the Definition, Classification, and Conceptual Framework.

Journal of medical Internet research
BACKGROUND: Conversational agents (CAs), or chatbots, are computer programs that simulate conversations with humans. The use of CAs in health care settings is recent and rapidly increasing, which often translates to poor reporting of the CA developme...

Word differences in news media of lower and higher peace countries revealed by natural language processing and machine learning.

PloS one
Language is both a cause and a consequence of the social processes that lead to conflict or peace. "Hate speech" can mobilize violence and destruction. What are the characteristics of "peace speech" that reflect and support the social processes that ...