The new AI system, described Sept. 4 in Nature, goes a step beyond many current AI approaches to cancer diagnosis, the researchers said.
Current AI systems are typically trained to perform specific tasks - such as detecting cancer presence or predicting a tumor's genetic profile - and they tend to work only in a handful of cancer types.
Chat GPT-4 Vision is the first version of the large language model that can interpret both text and images.
The study published Aug. 29 in Nature Communications shows that artificial intelligence and machine learning technologies can effectively and efficiently subtype pathology samples from patients with RA.
Boston University's Vijaya B. Kolachalama, an expert on using computers to aid medical diagnoses, has created an artificial intelligence tool that can determine what’s causing a person's cognitive decline, and assist doctors in more efficiently zeroing in on an accurate diagnosis.