The Intersection of ChatGPT, Clinical Medicine, and Medical Education [PDF]
As we progress deeper into the digital age, the robust development and application of advanced artificial intelligence (AI) technology, specifically generative language models like ChatGPT (OpenAI), have potential implications in all sectors including ...
R. S. Wong +2 more
semanticscholar +2 more sources
A systematic review of large language model (LLM) evaluations in clinical medicine [PDF]
Large Language Models (LLMs), advanced AI tools based on transformer architectures, demonstrate significant potential in clinical medicine by enhancing decision support, diagnostics, and medical education.
S. Shool +5 more
semanticscholar +2 more sources
Clinical management of metastatic colorectal cancer in the era of precision medicine
Colorectal cancer (CRC) represents approximately 10% of all cancers and is the second most common cause of cancer deaths. Initial clinical presentation as metastatic CRC (mCRC) occurs in approximately 20% of patients. Moreover, up to 50% of patients with
Fortunato Ciardiello +2 more
exaly +2 more sources
Artificial Intelligence in Clinical Medicine: Challenges Across Diagnostic Imaging, Clinical Decision Support, Surgery, Pathology, and Drug Discovery [PDF]
Aims/Background: The growing integration of artificial intelligence (AI) into clinical medicine has opened new possibilities for enhancing diagnostic accuracy, therapeutic decision-making, and biomedical innovation across several domains.
Eren Ogut
semanticscholar +2 more sources
Large Language Model Prompting Techniques for Advancement in Clinical Medicine [PDF]
Large Language Models (LLMs have the potential to revolutionize clinical medicine by enhancing healthcare access, diagnosis, surgical planning, and education.
Krish Shah +6 more
semanticscholar +2 more sources
Almanac — Retrieval-Augmented Language Models for Clinical Medicine [PDF]
BACKGROUND Large language models (LLMs) have recently shown impressive zero-shot capabilities, whereby they can use auxiliary data, without the availability of task-specific training examples, to complete a variety of natural language tasks, such as ...
Cyril Zakka +21 more
semanticscholar +2 more sources
Almanac: Retrieval-Augmented Language Models for Clinical Medicine [PDF]
Large-language models have recently demonstrated impressive zero-shot capabilities in a variety of natural language tasks such as summarization, dialogue generation, and question-answering.
W. Hiesinger +13 more
semanticscholar +1 more source
Clinical trials challenges - impact of the new clinical trial regulation on the conduct of clinical trials [PDF]
nema
Mugoša Snežana, Glusica Anja
doaj +1 more source
Expert Consensus on Clinical Research Methodology of Traditional Chinese Medicine in the New Era
To address the challenges of the new era and promote the rational application of clinical epidemiology and evidence-based medicine methods in traditional Chinese medicine (TCM), Chinese Medicine Group, the Clinical Epidemiology and Evidence-based ...
Chinese Medicine Group, Clinical Epidemiology and Evidence-based Medicine Association of Chinese Medical Association
doaj +1 more source
Artificial intelligence in clinical medicine: catalyzing a sustainable global healthcare paradigm
As the demand for quality healthcare increases, healthcare systems worldwide are grappling with time constraints and excessive workloads, which can compromise the quality of patient care.
Gokul Krishnan +6 more
semanticscholar +1 more source

