State Required CME

Cultural Competence

Latest AI and machine learning research in cultural competence for healthcare professionals.

3,659 articles
Stay Ahead - Weekly Cultural Competence research updates
Subscribe
Browse Specialties
Showing 505-525 of 3,659 articles
Performance of ChatGPT on the Chinese Postgraduate Examination for Clinical Medicine: Survey Study.

BACKGROUND: ChatGPT, an artificial intelligence (AI) based on large-scale language models, has spark...

Bias reduction using combined stain normalization and augmentation for AI-based classification of histological images.

Artificial intelligence (AI)-assisted diagnosis is an ongoing revolution in pathology. However, a fr...

Classification performance bias between training and test sets in a limited mammography dataset.

OBJECTIVES: To assess the performance bias caused by sampling data into training and test sets in a ...

Understanding skin color bias in deep learning-based skin lesion segmentation.

BACKGROUND: The field of dermatological image analysis using deep neural networks includes the seman...

ChatGPT in Medical Education: A Precursor for Automation Bias?

Artificial intelligence (AI) in health care has the promise of providing accurate and efficient resu...

Evaluating NetMHCpan performance on non-European HLA alleles not present in training data.

Bias in neural network model training datasets has been observed to decrease prediction accuracy for...

Compositional diversity in visual concept learning.

Humans leverage compositionality to efficiently learn new concepts, understanding how familiar parts...

Measures of performance and proficiency in robotic assisted surgery: a systematic review.

Robotic assisted surgery (RAS) has seen a global rise in adoption. Despite this, there is not a stan...

Artificial Intelligence and Machine Learning May Resolve Health Care Information Overload.

Biomedical information doubles almost every 2 months, and this very rate is expected to double by 20...

Modelling dataset bias in machine-learned theories of economic decision-making.

Normative and descriptive models have long vied to explain and predict human risky choices, such as ...

Using Artificial Intelligence to Predict Intracranial Hypertension in Patients After Traumatic Brain Injury: A Systematic Review.

Intracranial hypertension (IH) is a key driver of secondary brain injury in patients with traumatic ...

Measuring Implicit Bias in ICU Notes Using Word-Embedding Neural Network Models.

BACKGROUND: Language in nonmedical data sets is known to transmit human-like biases when used in nat...

Perturbation diversity certificates robust generalization.

Whilst adversarial training has been proven to be one most effective defending method against advers...

Using artificial intelligence to create diverse and inclusive medical case vignettes for education.

AIMS: Medical case vignettes play a crucial role in medical education, yet they often fail to authen...

Challenges of artificial intelligence in medicine and dermatology.

Artificial intelligence (AI) in medicine and dermatology brings additional challenges related to bia...

Ethical Considerations of Artificial Intelligence in Health Care: Examining the Role of Generative Pretrained Transformer-4.

The integration of artificial intelligence technologies, such as large language models (LLMs), in he...

Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support-a reader study.

OBJECTIVES: The aim of our study was to examine how breast radiologists would be affected by high ca...

Responsible use of AI in military systems: prospects and challenges.

Artificial Intelligence (AI) holds great potential for the military domain but is also seen as prone...

Browse Specialties