A new deep learning algorithm is superior to human experts in distinguishing between retinal ganglion cells in healthy patients and in those with glaucoma. The AI system could potentially help improve the diagnosis of both eye and brain diseases.
Recent studies have found significant biases in artificial intelligence algorithms. Researchers are raising their concerns about AI biases associated with medical devices and algorithms used to analyze health risks. If left unchecked, they say, the technologies could continue to perpetuate sex, gender, and race biases that could exacerbate health care disparities.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceOpen Neuroscience ArticlesPsychology··4 min read
Inspired by techniques to train deep neural networks, researchers have proposed a new hypothesis of dreaming. The hypothesis suggests the strangeness of our dreams may help our brains better generalize our day-to-day experiences.
A new brain-computer interface could help thousands of people with neurodegenerative disorders and spinal cord injuries the ability to regain communication skills. The BCI, in combination with a machine learning algorithm, can generate words on a screen, based on a person thinking about writing the word.
A newly developed artificial intelligence algorithm can accurately detect sarcasm in comments written on social media platforms.
··7 min read
A newly developed artificial intelligence algorithm can accurately and reliably assess unconsciousness in patients under anesthesia based on brain activity.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeurologyNeuroscienceVisual Neuroscience··5 min read
A newly developed system that uses OCT imaging and deep learning should enable better detection and monitoring of glaucoma.
A new algorithm that combines naturalistic driving data with machine learning is 88% accurate at predicting mild cognitive impairment and dementia in older adults.
A new digital app has shown to be successful in detecting one key symptom associated with ASD in young children. The app, which combines gaze tracking and machine learning algorithms, could be an inexpensive new tool to help with the diagnosis of autism.
Widely used music algorithms are more likely to recommend and select music by male artists, at the detriment of female musicians. A new study addresses gender disparities in music-based algorithms.