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ChatGPT Candidate Performs Well in Obstetrics and Gynaecology Clinical Examination

In a study to determine how the Chat Generative Pre-Trained Transformer or ChatGPT would fare in medical specialist examinations compared to human candidates without additional training, the Artificial Intelligence chatbot performed better than human candidates in a mock Obstetrics and Gynaecology (O&G) specialist clinical examination, used to assess the eligibility of individuals to become O&G specialists.

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Creating a Sound Basis for Future Healthcare in Europe

What could healthcare look like in 10, 20, or 30 years? What will be the future of healthcare? Will medical professionals make diagnoses with the aid of artificial intelligence? Will doctors use big data analytics to predict the course of diseases? Will we stay healthy for longer thanks to state-of-the-art screenings and preventive care? Today in London, Charité - Universitätsmedizin Berlin assumed the presidency of the European University Hospital Alliance (EUHA) for the coming months.

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Researchers Test AI-Powered Chatbot's Medical Diagnostic Ability

In a recent experiment published in JAMA, physician-researchers at Beth Israel Deaconess Medical Center (BIDMC) tested one well-known publicly available chatbot's ability to make accurate diagnoses in challenging medical cases. The team found that the generative AI, Chat-GPT 4, selected the correct diagnosis as its top diagnosis nearly 40 percent of the time and provided the correct diagnosis in its list of potential diagnoses in two-thirds of challenging cases.

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Philips' Direct-to-Angio Stroke Pathway: New Analysis Demonstrates Substantial Cost Savings in Addition to Improved Patient Outcomes

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today announced the results of a health economic analysis published in the Journal of NeuroInterventional Surgery (JNIS) that show an innovative approach to the stroke care pathway reduced costs by an average of EUR 2,848 (~USD 3,120) per patient. The retrospective analysis looked at data from the controlled single-center ANGIOCAT clinical trial conducted at the Vall d’Hebron University Hospital Stroke Unit (Barcelona, Spain)

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The Best Drug Combos to Prevent COVID Recurrence

A groundbreaking machine-learning study has unmasked the best drug combinations to prevent COVID-19 from coming back after an initial infection. It turns out these combos are not the same for every patient.

Using real-world data from a hospital in China, the UC Riverside-led study found that individual characteristics, including age, weight, and additional illness determine which drug combinations most effectively reduce recurrence rates.

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Super Low-Cost Smartphone Attachment Brings Blood Pressure Monitoring to Your Fingertips

Engineers at the University of California San Diego have developed a simple, low-cost clip that uses a smartphone's camera and flash to monitor blood pressure at the user's fingertip. The clip works with a custom smartphone app and currently costs about 80 cents to make. The researchers estimate that the cost could be as low as 10 cents apiece when manufactured at scale.

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Transforming the Pharma Industry with Digital Health Apps (DiGA)

19 June 2023, Online.
DataArt, a global software engineering firm, is thrilled to announce its upcoming online panel discussion titled "DiGA for Pharma as Business Growth Opportunity." The event will unite professionals from the pharmaceutical, technology, and regulatory sectors to explore the transformative power of digital health apps. This discussion aims to delve into key topics, including:

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New Model Offers a Way to Speed Up Drug Discovery

Huge libraries of drug compounds may hold potential treatments for a variety of diseases, such as cancer or heart disease. Ideally, scientists would like to experimentally test each of these compounds against all possible targets, but doing that kind of screen is prohibitively time-consuming.

In recent years, researchers have begun using computational methods to screen those libraries in hopes of speeding up drug discovery.

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New "AI Doctor" Predicts Hospital Readmission and Other Health Outcomes

An artificial intelligence (AI) computer program can read physicians’ notes to accurately estimate patients' risk of death, length of hospital stay, and other factors important to care. Designed by a team led by researchers at NYU Grossman School of Medicine, the tool is currently in use in its affiliated hospitals to predict the chances that a patient who is discharged will be readmitted within a month.

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Digital Tool Spots Academic Text Spawned by ChatGPT with 99% Accuracy

Heather Desaire, a chemist who uses machine learning in biomedical research at the University of Kansas, has unveiled a new tool that detects with 99% accuracy scientific text generated by ChatGPT, the artificial intelligence text generator.

The peer-reviewed journal Cell Reports Physical Science published research showing the efficacy of her AI-detection method, along with sufficient source code for others to replicate the tool.

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