Results 101 to 110 of about 143,509 (313)
Predicting 24-hour intraocular pressure peaks and averages with machine learning
Frontiers in MedicinePurposePredicting 24-hour peak and average intraocular pressure (IOP) is essential for the diagnosis and management of glaucoma. This study aimed to develop and assess a machine learning model for predicting 24-hour peak and average IOP, leveraging ...
Ranran Chen +9 more
doaj +1 more source
Nocturnal hypoglycaemia in patients receiving conventional treatment with insulin [PDF]
, 1985 P. C W Lyn
openalex +1 more source
Continuous outcome estimation in N‐of‐1 trials for accelerated decision‐making
Epilepsia, EarlyView.Abstract Objective N‐of‐1 trials aim to determine the therapeutic effect for a single individual. This individualized approach necessitates collecting multiple data points over time through repeated alternating periods of active treatment and a comparator or control condition.
Victoria Defelippe +5 more
wiley +1 more source
Epilepsia, EarlyView.Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron +7 more
wiley +1 more source
Insulin glargine: commentary on the duration of action and lower risk of nocturnal hypoglycaemia in patients with diabetes [PDF]
, 2004 Julio Rosenstock, David R. Owens
openalex +1 more source
Epilepsia Open, EarlyView.Abstract Objective To clinically validate the contribution of a custom‐built EEG wearable device (waEEG) compared to a full 10–20 electrode array ambulatory EEG (aEEG) for screening epilepsy cases in patients with suspected temporal lobe epilepsy (TLE) but negative routine EEGs. Methods Patients (aged 16–91 years) with clinically suspected TLE who were
Daniel Filipe Borges +4 more
wiley +1 more source