AI Medical Receptionist Modernizing Doctor Appointments

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers.

Cassie is a digital-human assistant created by Humanate Digital, a startup founded by three Aggies, including Dr. Mark Benden, professor in the Texas A&M School of Public Health and director of the Center for Worker Health.

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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.

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Northern Ireland Completes Nationwide Roll-out of Clinisys WinPath

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality.

An ambitious technology project to support the transformation of pathology services across Northern Ireland has been completed, with the go-live of the Clinisys WinPath laboratory information management system at the final two health and social care trusts.

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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.

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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.

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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.

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Highland Marketing Announced as Official Communications Partner for HETT 2025

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October 2025 at ExCeL London, HETT will welcome thousands of healthcare professionals, policy makers, and technology leaders for two days of insights, collaboration, and sector-shaping conversations.

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Groundbreaking TACIT Algorithm Offers New Promise in Diagnosing, Treating Cancer

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment of cancer and in the prescription of medicines. As recently published in Nature Communications, Jinze Liu, Ph.D., and Kevin Byrd, D.D.S., Ph.D., created Threshold-based Assignment of Cell Types from Multiplexed Imaging Data (TACIT), which assigns cell identities based on cell-marker expression profiles.

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The Many Ways that AI Enters Rheumatology

High-resolution computed tomography (HRCT) is the standard to diagnose and assess progression in interstitial lung disease (ILD), a key feature in systemic sclerosis (SSc). But AI-assisted interpretation has the potential to improve the quantification and characterisation of SSc-ILD, making it a powerful tool for monitoring.

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Giving Doctors an AI-Powered Head Start on Skin Cancer

Detection of melanoma and a range of other skin diseases will be faster and more accurate with a new artificial intelligence (AI) powered tool that analyses multiple imaging types simultaneously, developed by an international team of researchers led by Monash University.

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