AI-Powered Neurogenetics: Supporting Patient’s Evaluation with Chatbot DOI Open Access
Stefania Zampatti,

Juliette Farro,

Cristina Peconi

et al.

Genes, Journal Year: 2024, Volume and Issue: 16(1), P. 29 - 29

Published: Dec. 27, 2024

Artificial intelligence and large language models like ChatGPT Google's Gemini are promising tools with remarkable potential to assist healthcare professionals. This study explores Gemini's utility in assisting clinicians during the first evaluation of patients suspected neurogenetic disorders. By analyzing model's performance identifying relevant clinical features, suggesting differential diagnoses, providing insights into possible genetic testing, this research seeks determine whether these AI could serve as a valuable adjunct assessments. Ninety questions were posed (Versions 4o, 4, 3.5) Gemini: four about diagnosis, seven inheritance, estimable recurrence risks, available tests, patient management, each for six different rare disorders (Hereditary Spastic Paraplegia type 4 7, Huntington Disease, Fragile X-associated Tremor/Ataxia Syndrome, Becker Muscular Dystrophy, FacioScapuloHumeral Dystrophy). According results study, GPT chatbots demonstrated significantly better than Gemini. Nonetheless, all showed notable gaps diagnostic accuracy concerning level hallucinations. As expected, can empower assessing disorders, yet their effective use demands meticulous collaboration oversight from both neurologists geneticists.

Language: Английский

Unravelling the implementation of pharmacogenetic testing in Belgium DOI
Jolyce Bourgeois, Elena Costa, Carl Devos

et al.

European Journal of Clinical Pharmacology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 28, 2025

Language: Английский

Citations

0

AI-Powered Neurogenetics: Supporting Patient’s Evaluation with Chatbot DOI Open Access
Stefania Zampatti,

Juliette Farro,

Cristina Peconi

et al.

Genes, Journal Year: 2024, Volume and Issue: 16(1), P. 29 - 29

Published: Dec. 27, 2024

Artificial intelligence and large language models like ChatGPT Google's Gemini are promising tools with remarkable potential to assist healthcare professionals. This study explores Gemini's utility in assisting clinicians during the first evaluation of patients suspected neurogenetic disorders. By analyzing model's performance identifying relevant clinical features, suggesting differential diagnoses, providing insights into possible genetic testing, this research seeks determine whether these AI could serve as a valuable adjunct assessments. Ninety questions were posed (Versions 4o, 4, 3.5) Gemini: four about diagnosis, seven inheritance, estimable recurrence risks, available tests, patient management, each for six different rare disorders (Hereditary Spastic Paraplegia type 4 7, Huntington Disease, Fragile X-associated Tremor/Ataxia Syndrome, Becker Muscular Dystrophy, FacioScapuloHumeral Dystrophy). According results study, GPT chatbots demonstrated significantly better than Gemini. Nonetheless, all showed notable gaps diagnostic accuracy concerning level hallucinations. As expected, can empower assessing disorders, yet their effective use demands meticulous collaboration oversight from both neurologists geneticists.

Language: Английский

Citations

0