There are many temptations to organize our life around the experience of earlier trauma. But that may short-change the future—which starts by our envisioning something better.
Verified by Psychology Today
The Intersection of AI and Human Intelligence
A new AI algorithm has discovered a genetic signature trait of cancer cells, enabling machine learning to distinguish cancer cells from health ones.
A new AI machine-learning algorithm with an adaptable intelligence based on what it already knows is a step toward endowing machines with a more humanlike mind.
AI machine learning finds valuable hidden data in disease databases that may help accelerate biotechnology research and drug discovery for Alzheimer’s disease (AD) and more.
A new medical device incorporating artifical intelligence can help clinicians assess whether children have autism spectrum disorder.
Wysa’s admittance to the FDA Breakthrough Devices Program signifies a giant leap forward for artificial intelligence (AI) in the mental health industry.
AI machine learning can detect whether or not small spots that appear on chest imaging are cancerous tumors and significantly improve clinicians’ assessment of malignancy risk.
AI machine learning identifies patients with long COVID-19 using data from electronic health records with high accuracy.
AI machine learning combined with nanotechnology is able to detect ovarian cancer signals in blood with a high degree of accuracy.
A new study applied artificial intelligence (AI) machine learning to identify both risk and protective factors for depression in middle-aged to older adults.
AI can predict a person’s race based on X-ray images with a high degree of accuracy, but scientists do not know exactly how.
AI image reconstruction from magnetic resonance imaging (MRI) data when using public datasets off-label lead to biased results and “data crimes" according to new UC Berkeley study.
AI edge computing with swarm learning (SL) can detect cancer from patient data while preserving patient privacy and information governance.
A new clinical trial evaluates an endovascular brain-computer interface for patients with severe paralysis.
Johns Hopkins uses AI to improve the accuracy and speed of mouse brain imaging in action—a breakthrough that may accelerate neuroscience research for human diseases and disorders.
In a new study, researchers using biometric data from Fitbit wearables and medical exams found that sleep disturbances may be a predictor of mental illness onset.
Researchers in a new study quantify arousal and awareness using a convolutional neural network (CNN), a deep learning method with the proven ability to classify brain state data from electroencephalograms (EEGs).
A new AI study demonstrates human-like, sentiment-sensing AI machine learning using physiological data.
The brain-computer interfaces industry is gaining momentum due to recent scientific advancements in artificial intelligence machine learning and neuroscience.
New AI deep learning platform finds cellular disease signatures to help accelerate the discovery of novel therapeutics for Parkinson’s disease and more.
A first-of-its-kind brain-computer interface (BCI) with a flexible backing and penetrating microneedles enables better neural recording.
AI-enabled brain-computer interface has the potential to enable those with severe paralysis to control external devices by predicting intended movement with a wearable sensor.
A survey by Pew Research examines the American public’s view on AI and human enhancement, with key insights on attitudes toward brain-computer interfaces.
AI machine learning can screen in real-time for diabetic retinopathy—a leading cause of preventable blindness.
AI deep learning combined with whole genome sequencing (WGS) data may help clinicians diagnose common mental health disorders for African Americans.
Vocal expression of emotions has been observed across species and could provide a non-invasive and reliable means to assess animal emotions.
A new MIT artificial intelligence machine-learning study used brain concepts from neuroscience to help understand and overcome bias in computer vision algorithms.
New biomarker created using AI machine learning and genomic sequencing may predict survival and responses to cancer treatments for stomach cancer.
AI can identify HPV-attributed oropharyngeal cancer patients who require less aggressive radiation in order to achieve a favorable outcome.
Researchers have discovered clues in the dark genome associated with schizophrenia and bipolar disorder that may lead to new drug targets.
Scientists have created an artificial intelligence (AI) machine learning algorithm and brain-computer interface (BCI) that enables patients to command a robot with thoughts.
Cami Rosso writes about science, technology, innovation, and leadership.