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Current Topics in Behavioral Neurosciences
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July 7, 2024
Transcriptomics : Approaches to Quantifying Gene Expression and Their Application to Studying the Human Brain
Lora Liharska, Alexander Charney
Journal of Medical Internet Research
|
December 11, 2024
Large Language Models and Empathy: Systematic Review
Vera Sorin, Dana Brin, Yiftach Barash, et al.
NPJ Digital Medicine
|
December 13, 2022
Autoencoders for sample size estimation for fully connected neural network classifiers
Faris F Gulamali, Ashwin S Sawant, Patricia Kovatch, et al.
Plos One
|
February 8, 2024
Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City
Kullaya Takkavatakarn, Yang Dai, Huei Hsun Wen, et al.
Research Square
|
March 27, 2026
Obedience to Unsafe Clinical Instructions: How Large Language Models Respond to Authority Cues
Mahmud Omar, Reem Agbareia, Jolion McGreevy, et al.
Global Heart
|
February 19, 2015
Cardiovascular risk surveillance to develop a nationwide health promotion strategy: the grenada heart project
Sameer Bansilal, Rajesh Vedanthan, Mark Woodward, et al.
Communications Medicine
|
August 2, 2025
Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support
Mahmud Omar, Vera Sorin, Jeremy D Collins, et al.
NPJ Digital Medicine
|
June 6, 2023
A foundational vision transformer improves diagnostic performance for electrocardiograms
Akhil Vaid, Joy Jiang, Ashwin Sawant, et al.
Applied Clinical Informatics
|
May 21, 2025
Summarize-then-Prompt: A Novel Prompt Engineering Strategy for Generating High-Quality Discharge Summaries
Eyal Klang, Jaskirat Gill, Aniket Sharma, et al.
Journal of Medical Internet Research
|
September 4, 2025
Detecting, Characterizing, and Mitigating Implicit and Explicit Racial Biases in Health Care Datasets With Subgroup Learnability: Algorithm Development and Validation Study
Faris Gulamali, Ashwin Shreekant Sawant, Lora Liharska, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 36) with videos related to
Sort By:
Page
of 4
Current Topics in Behavioral Neurosciences
|
July 7, 2024
Transcriptomics : Approaches to Quantifying Gene Expression and Their Application to Studying the Human Brain
Lora Liharska, Alexander Charney
Journal of Medical Internet Research
|
December 11, 2024
Large Language Models and Empathy: Systematic Review
Vera Sorin, Dana Brin, Yiftach Barash, et al.
NPJ Digital Medicine
|
December 13, 2022
Autoencoders for sample size estimation for fully connected neural network classifiers
Faris F Gulamali, Ashwin S Sawant, Patricia Kovatch, et al.
Plos One
|
February 8, 2024
Comparison of predicting cardiovascular disease hospitalization using individual, ZIP code-derived, and machine learning model-predicted educational attainment in New York City
Kullaya Takkavatakarn, Yang Dai, Huei Hsun Wen, et al.
Research Square
|
March 27, 2026
Obedience to Unsafe Clinical Instructions: How Large Language Models Respond to Authority Cues
Mahmud Omar, Reem Agbareia, Jolion McGreevy, et al.
Global Heart
|
February 19, 2015
Cardiovascular risk surveillance to develop a nationwide health promotion strategy: the grenada heart project
Sameer Bansilal, Rajesh Vedanthan, Mark Woodward, et al.
Communications Medicine
|
August 2, 2025
Multi-model assurance analysis showing large language models are highly vulnerable to adversarial hallucination attacks during clinical decision support
Mahmud Omar, Vera Sorin, Jeremy D Collins, et al.
NPJ Digital Medicine
|
June 6, 2023
A foundational vision transformer improves diagnostic performance for electrocardiograms
Akhil Vaid, Joy Jiang, Ashwin Sawant, et al.
Applied Clinical Informatics
|
May 21, 2025
Summarize-then-Prompt: A Novel Prompt Engineering Strategy for Generating High-Quality Discharge Summaries
Eyal Klang, Jaskirat Gill, Aniket Sharma, et al.
Journal of Medical Internet Research
|
September 4, 2025
Detecting, Characterizing, and Mitigating Implicit and Explicit Racial Biases in Health Care Datasets With Subgroup Learnability: Algorithm Development and Validation Study
Faris Gulamali, Ashwin Shreekant Sawant, Lora Liharska, et al.
Page
of 4