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New AI Tool Addresses Accuracy and Fairness in Data to Improve Health Algorithms

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms - addressing a critical issue that can affect diagnostic accuracy and treatment decisions. The findings were published in the September 4 online issue of the Journal of Medical Internet Research.

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.

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.

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.

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.

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.

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.

DIGITAL HEALTH NEWS

New AI Tool Addresses Accuracy and Fairness in Data to Improve Health Algorithms

New Training Year Starts at Siemens Healthineers

Global Study Reveals How Patients View Medical AI

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

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

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

AI Analysis of Colonoscopy Improves Assessment of Crohn's Disease

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