Research

AI Detects Fatty Liver Disease with Chest X-Rays

Fatty liver disease, caused by the accumulation of fat in the liver, is estimated to affect one in four people worldwide. If left untreated, it can lead to serious complications, such as cirrhosis and liver cancer, making it crucial to detect early and initiate treatment.

AI Matches Doctors in Mapping Lung Tumors for Radiation Therapy

In radiation therapy, precision can save lives. Oncologists must carefully map the size and location of a tumor before delivering high-dose radiation to destroy cancer cells while sparing healthy tissue. But this process, called tumor segmentation, is still done manually, takes time, varies between doctors - and can lead to critical tumor areas being overlooked.

Using Data and AI to Create Better Health Care Systems

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In this approach, information from electronic health records, clinical trials and day-to-day hospital operations is analyzed in real-time to uncover insights that continuously improve patient care.

AI Tool Set to Transform Characterisation and Treatment of Cancers

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within tumours, opening doors for more targeted therapies for patients.

Findings on the development and use of the AI tool, called AAnet, have today been published in Cancer Discovery, a journal of the American Association for Cancer Research.

Human-AI Collectives Make the Most Accurate Medical Diagnoses

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways to efficiently support medical diagnoses. Yet these systems also entail considerable risks - for example, they can "hallucinate" and generate false information.

MHP-Net: A Revolutionary AI Model for Accurate Liver Tumor Segmentation for Diagnosis and Therapy

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the disease, but manual segmentation by radiologists is labor-intensive and often results in variations based on expertise.

AI Detects Hidden Heart Disease Using Existing Scans Stored in Patient Records

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify individuals with high coronary artery calcium (CAC) levels that place them at a greater risk for cardiovascular events.

Research News

AI Detects Fatty Liver Disease with Chest X-Rays

AI Matches Doctors in Mapping Lung Tumors for Radiation Therapy

Using Data and AI to Create Better Health Care Systems

AI Tool Set to Transform Characterisation and Treatment of Cancers

Human-AI Collectives Make the Most Accurate Medical Diagnoses

MHP-Net: A Revolutionary AI Model for Accurate Liver Tumor Segmentation for Diagnosis and Therapy

AI Detects Hidden Heart Disease Using Existing Scans Stored in Patient Records

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