Research

Patients say "Yes..ish" to the use of AI in dentistry

As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in diagnostics. The verdict? Patients are cautiously optimistic welcoming the potential benefits of AI but drawing a firm line: humans must stay in charge.

New App may Help Caregivers of People Getting a Bone Marrow Transplant

A new study by investigators from Mass General Brigham showed that a new app they created can help improve the quality of life for caregivers of patients undergoing bone marrow transplant (BMT). The researchers conducted a randomized clinical trial and found that caregivers assigned to use the app showed significantly greater improvements in quality of life, burden, and mood symptoms compared to those who did not have the app.

An App to Detect Heart Attacks and Strokes - and Save Lives

A potentially lifesaving new smartphone app can help people determine if they are suffering heart attacks or strokes and should seek medical attention, a clinical study suggests.

The ECHAS app (Emergency Call for Heart Attack and Stroke) is being developed by experts at UVA Health, Harvard, Northeastern and other leading institutions.

Personalized Breast Cancer Prevention Now Available for Women 30+ in the UK

A new telemedicine service for personalised breast cancer prevention has launched at preventcancer.co.uk. It allows women aged 30 to 75 across the UK to understand their risk of developing breast cancer and take early action years before NHS screening begins.

The service delivers a personalised breast cancer prevention plan based on each woman’s genetic profile using a simple home saliva test and online clinical guidance.

A Machine Learning Tool for Diagnosing, Monitoring Colorectal Cancer

Scientists aiming to advance cancer diagnostics have developed a machine learning tool that is able to identify metabolism-related molecular profile differences between patients with colorectal cancer and healthy people.

The analysis of biological samples from more than 1,000 people also revealed metabolic shifts associated with changing disease severity and with genetic mutations known to increase the risk for colorectal cancer.

Fine-Tuned LLMs Boost Error Detection in Radiology Reports

A type of artificial intelligence (AI) called fine-tuned large language models (LLMs) greatly enhances error detection in radiology reports, according to a new study published in Radiology, a journal of the Radiological Society of North America (RSNA). Researchers said the findings point to an important role for this technology in medical proofreading.

DeepSeek-R1 Offers Promising Potential to Accelerate Healthcare Transformation

A joint research team from The Hong Kong University of Science and Technology and The Hong Kong University of Science and Technology (Guangzhou) has published a perspective article in MedComm - Future Medicine. The article comprehensively evaluates DeepSeek-R1, a Chinese-developed open-source large language model (LLM), and its potential to transform the healthcare landscape.

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