A device has been created that could carry out Clinical Breast Examinations (CBE).

The manipulator, designed by a team at the University of Bristol and based at the Bristol Robotics Laboratory, is able to apply very specific forces over a range similar to forces used by human examiners and can detect lumps using sensor technology at larger depths than before.

The Premier Digital Health Event of 2023 is about to unfold. Mark your calendars for November 9th and 10th as the fourth edition of the DigiHealthDay unveils. This prominent event is hosted by the Deggendorf Institute of Technology - European Campus Rottal-Inn (DIT-ECRI) in collaboration with their dedicated PARTNERS and SPONSORS.

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).

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.