NLM IRP Seminar Schedule
UPCOMING SEMINARS
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Sept. 24, 2024 Natalya Yutin
Virus discovery in the era of massive metagenomic sequencing -
Oct. 1, 2024 Timothy Doerr
TBD -
Oct. 8, 2024 Jing Wang
Enhancing Heart Failure Prediction through LLM-backed Doctor Simulation -
Oct. 15, 2024 Tanvi Patel
Generative and Diagnostic Medical Imaging through AI -
Oct. 22, 2024 Lakshminarayan Iyer
TBD
RECENT SEMINARS
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Sept. 10, 2024 Diego Salazar Barreto
A phenome-wide association study to identify adverse events related with glucagon-like protein-1 agonists in Type 2 Diabetes cohort. -
July 23, 2024 Yu group
Yu Group Research Update -
July 18, 2024 Xiaofang Jiang
Jiang Lab research updates -
May 30, 2024 Deepak Gupta
Towards Answering Health-related Questions from Medical Videos: Datasets and Approaches -
May 28, 2024 Harutyun Saakyan
Simulation of protein fold evolution with atomistic details
Scheduled Seminars on Dec. 5, 2023
Speaker
Gaetano Manzo
Time
11 a.m.
Presentation Title
How do Clinicians Feel? A Trajectory Analysis of Clinical Notes using Large Language Models
Location
Virtual, see link below
Contact NLM_IRP_Seminar_Scheduling@mail.nih.gov with questions about this seminar.
Abstract:
Clinical notes can provide insight into caregiver attitudes and how they impact patient care and satisfaction. However, detecting clinician attitudes from the language used in clinical notes is a challenging task, given the concise and standardized format of clinical notes and other contextual factors. In this study, we leverage multiple large language models to identify clinician attitudes from the linguistic features in clinical notes. This approach promises to provide a reliable means of improving patient care, clinician well-being, and communication by identifying specific clinicians' attitude trajectories from clinical notes.