Cami Rosso is a Contributing Writer at Psychology Today. She focuses on themes related to medicine and healthcare, particularly in the realms of healthcare technology, artificial intelligence, and machine learning. Cami's work often explores topics such as digital health, telehealth, deep learning, and MLOps.
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Cami Rosso's coverage revolves around cutting-edge developments in the intersection of technology and health, with a specific focus on artificial intelligence applications in neuroscience, medical research, and mental health. Her articles often cite data to support her findings.
Given this focus, Cami is likely to be responsive to pitches from experts who can provide insights into the latest advancements in AI within healthcare and neuroscience. Individuals or organizations involved in pioneering AI technologies or conducting groundbreaking research related to brain-computer interfaces and mental health are also likely candidates for effective outreach.
Considering that Cami does not have a specified geographic focus, she appears open to covering global developments in these areas rather than focusing on any particular region.
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Machine learning algorithm figures out intended movement from the paralyzed. Source: BrianPenny
Breakthrough AI predicts brain age, cancer, dementia, and more from MRI scans. A new study unveiled the BrainIAC AI model, which can predict diseases from MRI scans.
Source: Kyraxys/Pixabay Chatbots powered by artificial intelligence (AI) large language models (LLMs) are becoming more human-like by design.
Study provides an inside look at how school psychologists are using AI tools. Source: StartupStockPhotos/Pixabay
First-of-its-kind AI rapidly identifies over 50 neurological disorders. Source: David_SMC/Pixabay
Humanity’s Last Exam (HLE) puts artificial intelligence LLMs to the test with 2,500 expert-level academic questions spanning multiple topics.
Researchers demonstrate a revolutionary AI foundation model capable of predicting human brain activity from multisensory stimuli.
Humanity’s Last Exam (HLE) puts artificial intelligence LLMs to the test with 2,500 expert-level academic questions spanning multiple topics.
AI passes the Turing test, breaking a 76-year-old benchmark for distinguishing humans from machines.
Brown University study shows how LLMs routinely breach mental health ethical standards such as the American Psychological Association (APA) professional codes of conduct.
