The Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) has formulated initial guidelines for dealing with generative models for text and image creation. A statement now published by the Executive Committee of the largest research funding organisation and central self-governing organisation for science and the humanities in Germany sheds light on the influence of ChatGPT and other generative AI models on science and the humanities and on the DFG's funding activities.

In a study of more than 2,000 chest X-rays, radiologists outperformed AI in accurately identifying the presence and absence of three common lung diseases, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).

A new diagnostic scoring system, developed by renowned breast cancer experts, is now available as an easy-to-use online tool through Susan G. Komen®, the world’s leading breast cancer organization. This tool will help health care providers recognize and effectively diagnose a rare and aggressive breast cancer, inflammatory breast cancer.

Artificial intelligence (AI) and machine learning (ML) can effectively detect and diagnose Polycystic Ovary Syndrome (PCOS), which is the most common hormone disorder among women, typically between ages 15 and 45, according to a new study by the National Institutes of Health. Researchers systematically reviewed published scientific studies that used AI/ML to analyze data to diagnose and classify PCOS and found that AI/ML based programs were able to successfully detect PCOS.

Large language model (LLM) artificial intelligence (AI) chatbots may be able to outperform the average human at a creative thinking task where the participant devises alternative uses for everyday objects (an example of divergent thinking), suggests a study published in Scientific Reports. However, the human participants with the highest scores still outperformed the best chatbot responses.

The artificial intelligence chatbot ChatGPT performed as well as a trained doctor in suggesting likely diagnoses for patients being assessed in emergency medicine departments, in a pilot study to be presented at the European Emergency Medicine Congress.

Researchers say a lot more work is needed, but their findings suggest the technology could one day support doctors working in emergency medicine, potentially leading to shorter waiting times for patients.

Since the 1980s, we have known that neurological soft signs (NSS) can distinguish people with schizophrenia from psychiatrically healthy individuals. NSS are subtle neurological impairments that principally manifest as decreased sensory integration (trouble receiving and responding to information transmitted to the brain through the senses) and difficulties with balance, rapid successive movements, and right–left orientation.