Research

AI Tool that may Assist Underserved Hospitals

As the fields of healthcare and technology increasingly evolve and intersect, researchers are collaborating on the best ways to use emerging technologies such as artificial intelligence (AI) to care for patients.

This includes using AI to assist in collecting and deciphering diagnostic data among medical professionals, particularly in underserved communities.

Deep Learning Model Helps Detect Lung Tumors on CT

A new deep learning model shows promise in detecting and segmenting lung tumors, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA). The findings of the study could have important implications for lung cancer treatment.

According to the American Cancer Society, lung cancer is the second most common cancer among men and women in the U.S. and the leading cause of cancer death.

New Biomarkers to Detect Colorectal Cancer

Machine learning and artificial intelligence (AI) techniques and analysis of large datasets have helped University of Birmingham researchers to discover proteins that have strong predictive potential for colorectal cancer.

In a paper published in Frontiers in Oncology, researchers analysed one of the largest UK Biobank dataset of protein profiles from healthy individuals and colorectal cancer patients and highlighted three proteins - TFF3, LCN2, and CEACAM5 - as important markers linked to cell adhesion and inflammation, processes closely associated with cancer development.

New Study Reveals AI's Transformative Impact on ICU Care with Smarter Predictions and Transparent Insights

Intensive care units (ICUs) face mounting pressure to effectively manage resources while delivering optimal patient care. Groundbreaking research published in the INFORMS journal Information Systems Research highlights how a novel artificial intelligence (AI) model is revolutionizing ICU care by not only improving predictions of patient length of stay, but also equipping clinicians with clear, evidence-based insights to guide critical decisions.

Most Advanced Artificial Touch for Brain-Controlled Bionic Hand

For the first time ever, a complex sense of touch for individuals living with spinal cord injuries is a step closer to reality. A new study published in Science, paves the way for complex touch sensation through brain stimulation, whilst using an extracorporeal bionic limb, that is attached to a chair or wheelchair.

New Computer Models Open Door to Far More Targeted Antibiotics

With antibiotic resistance a growing problem, University of Virginia School of Medicine researchers have developed cutting-edge computer models that could give the disease-fighting drugs a laser-like precision to target only specific bacteria in specific parts of the body.

As it stands, antibiotics kill bacteria indiscriminately.

From Text to Structured Information Securely with AI

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected. Researchers at the University Hospital Bonn (UKB) and the University of Bonn have now been able to show that local LLMs can help structure radiological findings in a privacy-safe manner, with all data remaining at the hospital. They compared various LLMs on public reports without data protection and on data-protected reports.

Research News

AI Tool that may Assist Underserved Hospitals

Deep Learning Model Helps Detect Lung Tumors on CT

New Biomarkers to Detect Colorectal Cancer

New Study Reveals AI's Transformative Impact on ICU Care with Smarter Predictions and Transparent Insights

Most Advanced Artificial Touch for Brain-Controlled Bionic Hand

New Computer Models Open Door to Far More Targeted Antibiotics

From Text to Structured Information Securely with AI

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