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AXREM and BHTA Name Highland as 'Future of MedTech' Headline Sponsor

Hosted by trade associations AXREM and the British Healthcare Trades Association (BHTA), 'The Future of MedTech - Innovating for Tomorrow', will allow delegates to engage with speakers from the government, NICE, MHRA, and the NHS.

Held at the Mercure Northampton on 13 May 2025, conference organisers have now confirmed health tech specialist agency Highland Marketing as the headline sponsor.

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Right Patient, Right Dose, Right Time

While artificial intelligence (AI) has shown promising potential, much of its use has remained theoretical or retrospective. Turning its potential into real-world healthcare outcomes, researchers at the Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine) have successfully utilised an AI platform to make precise recommendations for dose adjustments in 10 patients at the National University Cancer Institute, Singapore (NCIS) in Singapore.

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Children's Health Ireland to Transform Diagnostic Imaging Access with Sectra

Healthcare teams responsible for paediatric care in Ireland are to save significant time in accessing important diagnostic imaging and reports, with the help of a new agreement with medical imaging and cybersecurity company Sectra.

Signed in January 2025, following a four-month procurement, the five-year contract with Children's Health Ireland (CHI) will enable an important part of the organisation's digital transformation.

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Infectious Disease Surveillance Platform BEACON Launches as a New Open-Source Global Resource

The Biothreats Emergence, Analysis and Communications Network (BEACON) leverages advanced artificial intelligence (AI), large language models (LLMs) and a network of globally based experts to rapidly collect, analyze, and disseminate information on emerging infectious diseases affecting humans, animals, and the environment.

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Detecting Lung Cancer 4 Months Earlier at the GP Using AI

GPs may soon be able to identify patients with an increased risk of lung cancer up to 4 months earlier than is currently the case. The GP should be able to simply identify patients during a consultation with an algorithm created by researchers at Amsterdam UMC based on the data of more than half a million patients.

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An AI Tool Grounded in Evidence-Based Medicine Outperformed Other AI Tools

A powerful clinical artificial intelligence tool developed by University at Buffalo biomedical informatics researchers has demonstrated remarkable accuracy on all three parts of the United States Medical Licensing Exam (Step exams), according to a paper published in JAMA Network Open.

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Generative AI's Diagnostic Capabilities Comparable to Non-Dpecialist Doctors

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were different for each study, a comprehensive analysis was needed to determine the extent AI could be used in actual medical settings and what advantages it featured in comparison to doctors.

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Diagnoses and Treatment Recommendations Given by AI were More Accurate than those of Physicians

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations made by artificial intelligence (AI) and physicians at Cedars-Sinai Connect, a virtual urgent care clinic in Los Angeles, operated in collaboration with Israeli startup K Health. The paper was published in Annals of Internal Medicine and presented at the annual conference of the American College of Physicians (ACP).

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Surrey and Sussex Healthcare NHS Trust goes Live with Sectra

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise imaging solution.

The trust is the sixth NHS organisation in the South East 2 Imaging Network to deploy Sectra's enterprise imaging solution.

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New System for the Early Detection of Autism

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The system has achieved an accuracy of over 85%, thus surpassing traditional methods of detecting autism in early childhood, which are usually based on psychological tests and interviews carried out manually.

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