Hematology

Detection of anemic condition in patients from clinical markers and explainable artificial intelligence.

BACKGROUND: Anaemia is a commonly known blood illness worldwide. Red blood cell (RBC) count or oxyge...

Effect and Safety of Diluted Vasopressin Injection for Bleeding Control During Robot-assisted Laparoscopic Myomectomy in Reproductive Women With Uterine Fibroids: A Randomized Controlled Pilot Trial (VALENTINE Trial).

BACKGROUND/AIM: Vasopressin injected during myomectomy is known to effectively reduce bleeding but i...

The Diagnostic Features of Peripheral Blood Biomarkers in Identifying Osteoarthritis Individuals: Machine Learning Strategies and Clinical Evidence.

BACKGROUND: People with osteoarthritis place a huge burden on society. Early diagnosis is essential ...

Deep learning for platelet transfusion.

Optimizing platelet transfusion through a personalized deep learning risk assessment system for demand management.

Platelet demand management (PDM) is a resource-consuming task for physicians and transfusion manager...

UPLC-MS/MS Method for Detection of Etomidate and Its Metabolite Etomidate Acid Quantity in Blood.

OBJECTIVES: To establish a method for the simultaneous quantitative analysis of etomidate and its me...

[Wearable devices: Perspectives on assessing and monitoring human physiological status].

This review article aims to explore the major challenges that the healthcare system is currently fac...

Skin Changes in Suspected Lyme Disease.

Dear Editor, Ticks carry many diseases, bacteria, and viruses and represent a very important healthc...

Association of Vitamin D with Risk Factors for Coronary Artery Disease.

Vitamin D safeguards cardiovascular health by reducing inflammation and susceptibility to atheroma. ...

[A Case of Gastric Cancer with Pulmonary Carcinomatous Lymphangitis and Disseminated Carcinomatosis of the Bone Marrow Responding to S-1 plus Cisplatin Chemotherapy].

A 63-year-old man was admitted to a hospital owing to shortness of breath. He was diagnosed as havin...

Using machine learning to predict bleeding after cardiac surgery.

OBJECTIVES: The primary objective was to predict bleeding after cardiac surgery with machine learnin...

Artificial intelligence assistance in deciding management strategies for polytrauma and trauma patients.

<b><br>Introduction:</b> Artificial intelligence (AI) is an emerging technology wi...

[A preliminary prediction model of depression based on whole blood cell count by machine learning method].

This study used machine learning techniques combined with routine blood cell analysis parameters to ...

[Development of auxiliary early predicting model for human brucellosis using machine learning algorithm].

Using machine learning algorithms to construct an early prediction model of brucellosis to improve t...

SynthA1c: Towards Clinically Interpretable Patient Representations for Diabetes Risk Stratification.

Early diagnosis of Type 2 Diabetes Mellitus (T2DM) is crucial to enable timely therapeutic intervent...

Critical Appraisal on the Role of Warfarin in the Current Era.

Warfarin has been the most extensively used oral anticoagulant (OAC) in medical settings for over 60...

Deep learning to predict esophageal variceal bleeding based on endoscopic images.

OBJECTIVE: Esophageal varix (EV) bleeding is a particularly serious complications of cirrhosis. Pred...

Peripheral Blood Omics and Other Multiplex-based Systems in Pulmonary and Critical Care Medicine.

Over the last years, the use of peripheral blood-derived big datasets in combination with machine le...

DETERMINATION OF THE PRA POSITIVITY PERCENTAGE IN MALE PATIENTS WITH CHRONIC KIDNEY DISEASE BY USING FLOW CYTOMETRY TECHNIQUE.

The antibodies directed against human leukocyte antigen (HLA) molecules, which play a crucial role i...

Long-term SARS-CoV-2 neutralizing antibody level prediction using multimodal deep learning: A prospective cohort study on longitudinal data in Wuhan, China.

The ongoing epidemic of SARS-CoV-2 is taking a substantial financial and health toll on people world...

Platelet RNA signature independently predicts ovarian cancer prognosis by deep learning neural network model.