A virtual data room has always solved one problem: secure document sharing. What it never solved was the reading. A ...

Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...

The paper by Sajiki et al 1 gives us a fascinating glimpse of the potential benefits of applying machine learning to large ...

Automations are greater than ever.

The AI juggernaut is all-in on the healthcare industry, launching three new products in the last six months. But it needs to ...

AI has the potential to help bring predictability to complicated workflows by standardizing the path from simulation to ...

Across global manufacturing sectors, particularly within the rapid infrastructure expansions of Belt and Road countries, the demand for precision-engineered architectural stone has escalated. To ...

UTokyo and Kubota develop a drone potato yield prediction method combining multispectral imagery, AI, and growth models.

A new report suggests Apple has established dominance in the emerging on-device AI corner of the smartwatch market. Read for ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...