Nature

A Diagnostic Algorithm using Multi-parametric MRI to Differentiate Benign from Malignant Myometrial Tumors: Machine-Learning Method

This study aimed to develop a diagnostic algorithm for preoperative differentiating uterine sarcoma from leiomyoma through a supervised machine-learning method using multi-parametric MRI. A total of ...
Nature

The computerized algorithm for renal assessment improves diagnostic accuracy of renal impairment in hospitalized patients

In hospitalized patients, acute kidney injury (AKI) is an important adverse event associated with high mortality and medical costs. Accurate diagnosis and timely management of AKI are essential for ...

AI Disruption in Dermatology Devices Accelerates with $43 Million Series B Funding Wave, Driven by 96% Diagnostic Accuracy Breakthrough

BCC Research examines how AI is improving diagnostic accuracy, enabling personalized treatments and optimizing therapeutic ...
Medical Xpress

AI algorithms for diagnosing rare diseases do not include current human diversity, finds study

Up to 40% of rare diseases show facial alterations that enable researchers to identify some pathologies, and they can even help establish an early diagnosis. Historically, the visual evaluation and ...
Medical Xpress

New algorithms could improve pediatric tuberculosis diagnosis

Algorithms are not new to pediatric tuberculosis. Other scientists have created similar algorithms to enhance disease diagnosis, but Gunasekera explained that those algorithms have largely relied on ...
The American Journal of Managed Care

Real-world HIV Diagnostic Testing Patterns in the United States

This retrospective study evaluated real-world implementation of the updated CDC HIV algorithm in a large US laboratory. Objectives: To understand real-world implementation of the updated CDC HIV ...
News Medical

AI algorithms for rare disease diagnosis ignore the genetic, morphological diversity of humans

Up to 40% of rare diseases show facial alterations that enable researchers to identify some pathologies and they can even help them to establish an early diagnosis. Historically, the visual evaluation ...
News Medical

Diagnostics.ai launches fully-transparent machine learning platform for real-time PCR diagnostics

As the May 26th CE-IVDR compliance deadline comes into effect, Diagnostics.ai launches the industry's first fully-transparent machine learning platform for clinical real-time PCR diagnostics – ...

BioMark Diagnostics Secures Landmark Canadian and European Patent Allowances for Early-Stage Lung Cancer Blood Test

BioMark prepares to launch its breakthrough liquid biopsy powered by a newly patented algorithm validated in over 15,000 ...

THINKCAR Unveils Tyler as the Industry’s First AI Diagnostic Agent at Global Distributors Conference

SHENZHEN, China - June 29, 2026 - The automotive aftermarket faces a severe technician shortage: only one qualified ...
UC San Francisco

Can AI Improve Diagnosis of Rare Diseases?

Rare diseases can often be difficult to diagnose because their symptoms can overlap with a variety of conditions. One such disease is acute hepatic porphyria (AHP), a rare genetic disease with ...
Medscape

New Osteoarthritis Diagnostic Test Developed, but Experts Are Skeptical

A new diagnostic test can accurately distinguish osteoarthritis (OA) from inflammatory arthritis using two synovial fluid biomarkers, according to research published in the Journal of Orthopaedic ...