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BioWorld - Thursday, December 25, 2025
Home » Topics » Diagnostics » Artificial intelligence

Artificial intelligence
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Screen on Fitbit Sense reads "Take heart rhythm assessment"
Heart Rhythm 2025

Fitbit analysis predicts hospitalizations

April 28, 2025
By Annette Boyle
Using step counts and heart rate readings from Google’s Fitbit devices, a machine learning model accurately predicted the risk of hospitalization, a study presented at Heart Rhythm 2025 found. The study used data from participants in the National Institutes of Health’s All of Us research program.
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Illustration of diseased kidney

Kidneyintelx test leads to increased use of SGLT2 inhibitors

April 23, 2025
By Shani Alexander
The use of Renalytix plc’s Kidneyintelx biomarker-based prognostic test led to increased and targeted use of sodium-glucose cotransporter 2 (SGLT2) inhibitors in patients at risk of diabetic kidney disease, compared to untested patients, according to data from a study.
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Okeiro box

Predict4Health rebrands as Okeiro, raises €10M for transplantation predictive tool

April 17, 2025
By Shani Alexander
French startup Predict4Health SAS rebranded to Okeiro and raised €10 million (US$11.35 million).
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Lunit Insight MMG

AI-enhanced mammogram readings are better, but ignored

April 10, 2025
By Marian (YoonJee) Chu
AI could significantly improve the value of patient recalls following mammography, but so far radiologists seem reluctant to rely on computer-aided readings. Radiologists tend to trust their own judgment – and that of their colleagues – in mammogram readings far more than AI-based diagnostics, even when the AI is much more accurate, a prospective trial analysis published in Radiology by Karolinska Institutet researchers found.
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Art concept for drug addiction

NIH says AI screening for opioid use disorder blunts readmissions

April 8, 2025
By Mark McCarty
The U.S. NIH published the results of a study of the use of AI in referring patients for intervention for risk of opioid use disorder, which found the algorithm helped stave off hospital admissions.
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Updoc
Patents

Updoc patents AI-powered diabetes management platform

April 3, 2025
By Simon Kerton
The first patent from Palo Alto, Calif.-headquartered Updoc Inc. provides protection for their development of an artificially intelligent, voice-based method for prescribing, managing and administering at least one medication for management of type 2 diabetes to a patient.
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Illustration of lung cancer, DNA double helix

FDA clears Gleamer, Azmed AI-powered tools for chest X-rays

April 1, 2025
By Shani Alexander
Two French startups, Gleamer SAS and Azmed SAS, received clearance from the U.S. FDA for their AI-powered tools for chest X-rays. They join an increasing number of companies developing software tools to help clinicians detect a range of abnormalities on images, enhancing diagnostic accuracy, reducing delays and improving patient outcomes.
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Medically accurate illustration of a baby in the womb of a pregnant mother

AI used to ID abnormalities in unborn babies

March 31, 2025
By Shani Alexander
The use of an AI tool could speed up the time it takes to do pregnancy scans by almost half and it is still able to identify any abnormalities in the fetus, researchers found. Results from a study showed the AI tool used to assist with 20-week pregnancy scans reduced the scan length by more than 40% and still maintained the same accuracy and reliability of diagnoses.
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Fibrosight imaging by Histoindex

Fibrosight launches in US for AI-based, stain-free MASH imaging

March 21, 2025
By Marian (YoonJee) Chu
Histoindex Pte Ltd. launched its laboratory-developed test for metabolic dysfunction-associated steatohepatitis (MASH), Fibrosight, in the U.S. as the company’s first in a suite of next-generation digital pathology solutions.
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Health professional touching screen, digital/medical icons

AI legislation advances in US states as Washington dithers

March 21, 2025
By Mark McCarty
Several American states are forging into a legislative vacuum where regulation of AI is concerned as Congress continues to delay action. Adoption of AI regulations on a state level increases the risk of a fragmented regulatory landscape, as already exists in U.S. privacy law, further complicating the path forward for med-tech companies deploying AI algorithms.
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