Research

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.

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).

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.

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.

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.

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.

More Cases of Breast Cancer Detected with the Help of AI

One radiologist supported by AI detected more cases of breast cancer in screening mammography than two radiologists working together, reports the ScreenTrustCAD study from Karolinska Institutet in The Lancet Digital Health. The researchers say that AI is now ready to be implemented in breast cancer screening.

For over 30 years, screening mammography has been an important key in reducing breast cancer mortality rates.

Research News

Open Call: DigiHealthDay-2023 @ DIT-ECRI

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

AI and Machine Learning can Successfully Diagnose Polycystic Ovary Syndrome

AI may Outperform Most Humans at Creative Thinking Task

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

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

More Cases of Breast Cancer Detected with the Help of AI

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