Nephrology

Latest AI and machine learning research in nephrology for healthcare professionals.

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A continual prediction model for inpatient acute kidney injury.

Acute kidney injury (AKI) commonly occurs in hospitalized patients and can lead to serious medical c...

Evaluation of Amikacin Pharmacokinetics in Critically Ill Patients with Intra-abdominal Sepsis.

Although the current widespread use of amikacin is in intra-abdominal sepsis treatment, its pharmac...

Highly precise risk prediction model for new-onset hypertension using artificial intelligence techniques.

Hypertension is a significant public health issue. The ability to predict the risk of developing hyp...

Pulse Wave Velocity and Machine Learning to Predict Cardiovascular Outcomes in Prediabetic and Diabetic Populations.

Few studies have addressed the predictive value of arterial stiffness determined by pulse wave veloc...

The influence of on rumen morphometrics of cull cows immediately stepped up to a high-energy finishing diet.

Forty-five beef cull cows [body weight () = 503 ± 58 kg; body condition score () = 2.1 ± 0.6] were r...

Automatic detection of calcium phosphate deposit plugs at the terminal ends of kidney tubules.

Kidney stones are a common urologic condition with a high amount of recurrence. Recurrence depends o...

Machine learning distilled metabolite biomarkers for early stage renal injury.

INTRODUCTION: With chronic kidney disease (CKD), kidney becomes damaged overtime and fails to clean ...

Reconstruction error based deep neural networks for coronary heart disease risk prediction.

Coronary heart disease (CHD) is one of the leading causes of death worldwide; if suffering from CHD ...

Temozolomide radiochemotherapy for high-grade glioma patients with hemodialysis: a case series of 7 patients.

BACKGROUND: The pharmacokinetics of temozolomide (TMZ) in patients with severe renal impairments (cr...

Artificial Intelligence in Nephrology: How Can Artificial Intelligence Augment Nephrologists' Intelligence?

BACKGROUND: Artificial intelligence (AI) now plays a critical role in almost every area of our daily...

A novel computer-aided diagnosis system for the early detection of hypertension based on cerebrovascular alterations.

Hypertension is a leading cause of mortality in the USA. While simple tools such as the sphygmomanom...

Influence of dietary roughage level and on feedlot performance and carcass composition of thin cull beef cows fed for a lean market.

One hundred forty-four cull cows (body condition score = 2.10 ± 0.61; BW = 456 ± 47 kg) were organiz...

Dose independent characterization of renal stones by means of dual energy computed tomography and machine learning: an ex-vivo study.

OBJECTIVES: To predict the main component of pure and mixed kidney stones using dual-energy computed...

Machine learning for the prediction of acute kidney injury and paraplegia after thoracoabdominal aortic aneurysm repair.

OBJECTIVE: Prediction of acute renal failure (ARF) and paraplegia after thoracoabdominal aortic aneu...

A 21‑gene Support Vector Machine classifier and a 10‑gene risk score system constructed for patients with gastric cancer.

Gastric cancer (GC) ranks fifth in terms of incidence and third in terms of tumor mortality worldwid...

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