New Training Year Starts at Siemens Healthineers

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens Healthineers. Training in technical professions predominates, followed by IT and commercial professions. For Siemens Healthineers, in-house training is an important factor in meeting the high demand for qualified junior staff and thus developing the company in the long term.

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Global Study Reveals How Patients View Medical AI

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich (TUM) has investigated this for the first time in a large study spanning six continents. The central finding: the worse people rate their own health, the more likely they are to reject the use of AI.

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Alcidion Grows Top Talent in the UK, with New MD, CCIO and CRO Appointments

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the UK Managing Director, with Tracy McClelland and Darren Ransley joining as global Chief Clinical Information Officer (CCIO) and Chief Revenue Officer (UK), respectively.

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Are You Eligible for a Clinical Trial? ChatGPT can Find Out

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates.

Researchers at UT Southwestern Medical Centre used ChatGPT to assess whether patients were eligible to take part in clinical trials and were able to identify suitable candidates within minutes.

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International Study Reveals Sex and Age Biases in AI Models for Skin Disease Diagnosis

An international research team led by Assistant Professor Zhiyu Wan from ShanghaiTech University has recently published groundbreaking findings in the journal Health Data Science, highlighting biases in multimodal large language models (LLMs) such as ChatGPT-4 and LLaVA in diagnosing skin diseases from medical images.

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AI Analysis of Colonoscopy Improves Assessment of Crohn's Disease

In a new study, artificial intelligence (AI) matched and potentially exceeded the performance of gastroenterologists and conventional scoring in evaluating endoscopies of Crohn’s disease patients.

The results, published in Clinical Gastroenterology and Hepatology, show a computer vision model identified mucosal ulceration as accurately as physician reviewing videos, while also being strongly correlated with the most common endoscopic scoring system.

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AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to find subtle tissue changes that allow the cancer to be detected long before it becomes visible to the human eye.

Previous research has demonstrated that AI is able to detect tissue changes indicative of cancer.

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AI, Full Automation could Expand Artificial Pancreas to More Diabetes Patients

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review of the technology.

Even as the artificial pancreas and other AID systems have helped millions of people with type 1 diabetes better manage their blood sugar and

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Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it has to say about the shift from CDs to digital music.

How can trusts and health boards make the same shift from analogue to digital delivery, while lowering costs and improving satisfaction and engagement?

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AI Hybrid Strategy Improves Mammogram Interpretation

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection rates. The study, which emphasizes AI confidence, was published in Radiology, a journal of the Radiological Society of North America (RSNA).

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