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AI-Based Wastewater Sampling Predicts COVID Hospital Admissions

It is possible to accurately predict hospital admission numbers due to COVID-19 up to four weeks in advance using an Artificial Intelligence (AI) based system together with COVID wastewater sampling, new research shows.

The study, published in the journal Nature Communications, used wastewater data from 159 counties in the US, covering nearly 100 million Americans, along with US hospital admission records, to develop the prediction model.

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Reinforcement Learning for Improved Performance of AI Explored

Artificial intelligence (AI) is already being used to diagnose skin cancer, but it cannot (yet) keep pace with the complex decision-making of doctors in practice. An international research team led by Harald Kittler of MedUni Vienna has now explored a learning method in which greater accuracy in AI results can be achieved by incorporating human decision-making criteria.

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IMAGIO Consortium Receives Innovative Health Initiative EUR 24 Million Grant to Improve Cancer Treatments

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced that the Philips-coordinated IMAGIO consortium [1] of clinical partners has been awarded a EUR 24 million Innovative Health Initiative (IHI) grant, complemented with additional resources and funding from industry partners [2], to carry out research into less invasive cancer treatments.

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AI-Based System Developed by Lithuanian Researchers will Help People after Stroke

Statistics indicate that globally 1 in 4 adults over the age of 25 will have a stroke in their lifetime. One of the most serious consequences of this disease is disability. The joint study by Rytis Maskeliūnas, a researcher at Kaunas University of Technology, Faculty of Informatics (KTU IF), and Lithuanian researchers is focused on creating an artificial intelligence (AI)-based system that aims to facilitate the rehabilitation process.

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AI Uses Lung CT Data to Predict Mortality Risk

Artificial intelligence (AI) can use data from low-dose CT scans of the lungs to improve risk prediction for death from lung cancer, cardiovascular disease and other causes, according to a study published in Radiology, a journal of the Radiological Society of North America (RSNA).

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NHS Fife Works with Buddy Healthcare to Improve Pre-Op Processes

NHS Fife is working with Buddy Healthcare on a digital pre-op pathway, so orthopaedic patients can complete assessments on an app and clinicians can use the data to make the best possible use of outpatient clinic and theatre time.

The Scottish health board has adopted the digital platform, which it calls ELSIE (the Electronic Pre-Operative Assessment App).

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Insilico Medicine Scientists Propose Stricter Standards for Evaluating Generative AI-Produced Molecules

A new microperspective in the ACS journal Medicinal Chemistry Letters evaluates recent research on artificial intelligence (AI)-generated molecular structures from the point of view of the medicinal chemist and recommends guidelines for assessing the novelty and validity of these compounds.

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ChatGPT's Responses to People's Healthcare-Related Queries are Nearly Indistinguishable from those Provided by Humans

ChatGPT’s responses to people's healthcare-related queries are nearly indistinguishable from those provided by humans, a new study from NYU Tandon School of Engineering and Grossman School of Medicine reveals, suggesting the potential for chatbots to be effective allies to healthcare providers' communications with patients.

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New Geometric Deep Learning Model for Detecting Stroke Lesions

Ischemic stroke, which occurs when a blood vessel in the brain gets blocked by a clot, is among the leading causes of death worldwide. Fortunately, surgeons now have access to advanced imaging techniques that allow them to visualize the interior of a patient's brain during a stroke. This helps them pinpoint the location of the clot and analyze the extent of damage to the brain tissue.

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Siemens Healthineers Opens Innovation Center in Erlangen

Siemens Healthineers has opened its new Innovation Center in Erlangen, Germany, in the heart of the regional medical technology research area known as Medical Valley. The focus is on open innovation by collaborating with external partner companies, start-ups and academic and clinical institutions to improve healthcare worldwide.

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