Results 241 to 250 of about 63,129 (302)
Are There Best Ways to Respond to a Patient With an AI‐Generated Answer You May Disagree With?
The Laryngoscope, EarlyView.With the increasing use of generative artificial intelligence by patients, discrepancies in discussion can arise during the patient–physician clinic visit. This paper seeks to address practical guidelines for responding during a clinical encounter in which the physician disagrees with an AI‐generated medical answer brought forth by a patient.
Priyanka K. Bisarya +2 more
wiley +1 more source
AI‐powered nursing handoffs: Introducing and evaluating the patient report template
Learning Health Systems, EarlyView.Abstract Purpose To understand (1) if nurses view the individual components of the Patient Report Template as useful in their day‐to‐day workflow, and (2) understand the perceptions of nurses related to artificial intelligence use in their day‐to‐day work.
Gabriel Vald +3 more
wiley +1 more source
Human and large language model judgments of cognitive impairment from language: An explainable artificial intelligence approach. [PDF]
Alzheimers Dement (Amst)Zadok M +5 more
europepmc +1 more source
Evaluation of large language models in rheumatology and clinical immunology: a systematic assessment based on Chinese national health professional qualification examination. [PDF]
Front Med (Lausanne)Wang Y +7 more
europepmc +1 more source
Divergent creativity in humans and large language models. [PDF]
Sci RepBellemare-Pepin A +7 more
europepmc +1 more source
Evaluating reasoning large language models with human-like thinking in ophthalmic question answering. [PDF]
BMJ Open OphthalmolWang Z +9 more
europepmc +1 more source
Editorial: Complexity Characteristics of Natural Language. [PDF]
Entropy (Basel)Drożdż S, Kwapień J, Stanisz T.
europepmc +1 more source