Artificial intelligence (AI) technology in the medical field has the possibility to automate diagnoses, decrease physician workload, and even to bring specialized healthcare to people in rural areas or developing countries. However, with possibility comes potential pitfalls.

Analyzing crowd-sourced sets of data used to create AI algorithms from medical images, University of Maryland School of Medicine (UMSOM) researchers found that most did not include patient demographics.

A team of researchers from Baidu Research has developed an AI algorithm that can rapidly design highly stable COVID-19 mRNA vaccine sequences that were previously unattainable. The algorithm, named LinearDesign, represents a major leap in both stability and efficacy for vaccine sequences, achieving a 128-fold increase in the COVID-19 vaccine's antibody response.

There has been widespread speculation about how advances in artificial intelligence (AI) assistants like ChatGPT could be used in medicine.

A new study published in JAMA Internal Medicine led by Dr. John W. Ayers from the Qualcomm Institute within the University of California San Diego provides an early glimpse into the role that AI assistants could play in medicine.

25 - 27 April 2023, Berlin, Germany.
DMEA 2023 concluded yesterday with a significant increase in attendees. In his keynote speech opening the event, Federal Minister of Health and patron of DMEA Prof. Dr. Karl Lauterbach described the next steps for digitalising the healthcare system.

For patients with human papilloma virus (HPV)-associated oropharynx cancer, assessing the presence of cancer cells beyond the lymph nodes, or extranodal extension (ENE), is critical in determining proper treatment. However, ENE is often challenging to detect on imaging pre-treatment, which can lead to an escalation in treatment resulting in greater toxicity and worse quality of life outcomes.

A team of engineering and health researchers has developed a tool that improves the ability of electronic devices to detect when a human patient is coughing, which has applications in health monitoring. The new tool relies on an advanced artificial intelligence (AI) algorithm that helps the AI better identify uncertainty when faced with unexpected data in real-world situations.

A stop smoking mobile app that senses where and when you might be triggered to light up could help people quit - according to University of East Anglia research.

Quit Sense is the world's first Artificial Intelligence (AI) stop smoking app which detects when people are entering a location they used to smoke in. It then provides support to help manage people’s specific smoking triggers in that location.