A Paradigm Shift on Emergence of Pharmacogenomics in the Era of Personalized Medicine DOI
Neha Kukreti,

Khushi Lamba,

Pankaj Pant

и другие.

Advances in medical technologies and clinical practice book series, Год журнала: 2024, Номер unknown, С. 1 - 34

Опубликована: Дек. 13, 2024

Pharmacogenomics is the study of genetic modifications in patients that influence their potential to metabolize medications, encouraging tolerability and desired effect. Genetic (like genome-wide association & candidate gene) methods may help choosing most suitable drug dosage, by impeding adverse reactions (ADRs). are usually documented as key steps personalized medicine. The significance medicine healthcare developing due its defined molecular basis. Personalized anticipates beneficial or serious side effects a medication using specific individual's profile. In recent year's pharmacogenomics approaches being widely used personalizing therapies for diseases like Cancer, Rheumatoid arthritis, Asthma, Type-1 diabetes many psychiatric disorders (depression, psychosis, schizophrenia etc.).This chapter provides an overview present importance identifies challenges need be conquered effective

Язык: Английский

Teaching and Assessing Higher-order Cognitive Skills in Fellowship Training DOI
Yakira N. David,

Brijen J. Shah,

David A. Katzka

и другие.

Gastroenterology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

AI Image Generation Technology in Ophthalmology: Use, Misuse and Future Applications DOI Creative Commons

Benjamin Phipps,

Xavier Hadoux, Bin Sheng

и другие.

Progress in Retinal and Eye Research, Год журнала: 2025, Номер unknown, С. 101353 - 101353

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Artificial Intelligence in the Oncology Residency Training Curriculum DOI

Ana Romero-Alfaro

European Journal of Cancer, Год журнала: 2025, Номер unknown, С. 115407 - 115407

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0

ChatGPT versus a customized AI chatbot (Anatbuddy) for anatomy education: A comparative pilot study DOI

G. Arun,

Vivek Perumal,

Francis Paul John Bato Urias

и другие.

Anatomical Sciences Education, Год журнала: 2024, Номер 17(7), С. 1396 - 1405

Опубликована: Авг. 21, 2024

Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability return clear and accurate anatomy information, this study generated a custom interactive intelligent chatbot (Anatbuddy) through an Open AI Application Programming Interface (API) that enables seamless AI-driven interactions within secured cloud infrastructure. Anatbuddy was programmed Retrieval Augmented Generation (RAG) method provide context-aware responses user queries based on predetermined knowledge base. compare their outputs, various (i.e., prompts) thoracic (n = 18) were fed into ChatGPT 3.5. A panel comprising three experienced anatomists evaluated both tools' factual accuracy, relevance, completeness, coherence, fluency 5-point Likert scale. These ratings reviewed third party blinded study, who revised finalized scores as needed. Anatbuddy's accuracy (mean ± SD 4.78/5.00 0.43; median 5.00) rated significantly higher (U 84, p 0.01) than ChatGPT's (4.11 0.83; 4.00). No statistically significant differences detected between chatbots other variables. Given current limitations, we strongly recommend profession develop utilizing carefully curated base ensure accuracy. Further research is needed determine students' acceptance of influence learning experiences outcomes.

Язык: Английский

Процитировано

4

Practical training of AI tools in healthcare work force DOI

Seher A. Khan

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 503 - 523

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Mapping the use of artificial intelligence in medical education: a scoping review DOI Creative Commons
Erwin Hernando Hernández Rincón, Daniel Jiménez,

Liliana Aguilar

и другие.

BMC Medical Education, Год журнала: 2025, Номер 25(1)

Опубликована: Апрель 12, 2025

Язык: Английский

Процитировано

0

Open‐source large language models in medical education: Balancing promise and challenges DOI
Partha Pratim Ray

Anatomical Sciences Education, Год журнала: 2024, Номер 17(6), С. 1361 - 1362

Опубликована: Июнь 28, 2024

Язык: Английский

Процитировано

1

Artificial intelligence and pain management: cautiously optimistic DOI

Bhargav Srinivasan,

Archana Venkataraman, Srinivasa N. Raja

и другие.

Pain Management, Год журнала: 2024, Номер unknown, С. 1 - 3

Опубликована: Сен. 11, 2024

Язык: Английский

Процитировано

1

Artificial Intelligence can transform formative assessment in medical education DOI Creative Commons

Joshua Feldman,

Christopher L. Gilchrist,

Fok‐Han Leung

и другие.

Canadian Medical Education Journal, Год журнала: 2024, Номер unknown

Опубликована: Сен. 18, 2024

Язык: Английский

Процитировано

0

Developing a Canadian artificial intelligence medical curriculum using a Delphi study DOI Creative Commons
Rohit Singla, Nikola Pupic,

Seyed-Aryan Ghaffarizadeh

и другие.

npj Digital Medicine, Год журнала: 2024, Номер 7(1)

Опубликована: Ноя. 18, 2024

The integration of artificial intelligence (AI) education into medical curricula is critical for preparing future healthcare professionals. This research employed the Delphi method to establish an expert-based AI curriculum Canadian undergraduate students. A panel 18 experts in health and across Canada participated three rounds surveys determine essential learning competencies. study identified key curricular components ethics, law, theory, application, communication, collaboration, quality improvement. findings demonstrate substantial support among educators professionals inclusion comprehensive education, with 82 out 107 competencies being deemed address both clinical educational priorities. It additionally provides suggestions on methods integrate these within existing dense curricula. endorsed set objectives aims enhance literacy application skills students, equipping them effectively utilize technologies settings.

Язык: Английский

Процитировано

0