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New Robot could Help Diagnose Breast Cancer Early

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.

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Open Call: DigiHealthDay-2023 @ DIT-ECRI

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.

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AI and ChatGPT in Science and the Humanities - DFG Formulates Guidelines for Dealing with Generative Models

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.

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Radiologists Outperformed AI in Identifying Lung Diseases on Chest X-Ray

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).

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Bayer to Collaborate with Hologic in Breast Cancer Imaging

Bayer and Hologic, Inc., today announced an international partnership to deliver contrast-enhanced-mammography (CEM) solutions to improve the detection of breast cancer in multiple countries across Canada, the European and Asia Pacific regions.

CEM is an innovative highly sensitive and low-cost breast imaging modality which combines digital mammography with the administration of a contrast agent to support breast cancer diagnosis and guide treatment decisions.

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New Online Tool Available to Help Health Care Providers Identify a Hard to Diagnose Breast Cancer

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.

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AI and Machine Learning can Successfully Diagnose Polycystic Ovary Syndrome

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.

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AI may Outperform Most Humans at Creative Thinking Task

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.

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ChatGPT Performs as Well as Doctors for Suggesting the Most Likely Diagnoses in the Emergency Medicine Department

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.

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Smartphone Technology Expected to Advance Assessment of Neurological Soft Signs in Schizophrenia

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.

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