Prevention of medical errors

AML, ALL, and CML classification and diagnosis based on bone marrow cell morphology combined with convolutional neural network: A STARD compliant diagnosis research.

Leukemia diagnosis based on bone marrow cell morphology primarily relies on the manual microscopy of bone marrow smears. However, this method is greatly affected by subjective factors and tends to lead to misdiagnosis. This study proposes using bone marrow cell microscopy images and employs convolutional neural network (CNN) combined with transfer learning to establish an objective, rapid, and acc...

Artificial Intelligence and Hypertension: Recent Advances and Future Outlook.

Prevention and treatment of hypertension (HTN) are a challenging public health problem. Recent evidence suggests that artificial intelligence (AI) has potential to be a promising tool for reducing the global burden of HTN, and furthering precision medicine related to cardiovascular (CV) diseases including HTN. Since AI can stimulate human thought processes and learning with complex algorithms and ...

Artificial intelligence in the diagnosis, treatment and prevention of urinary stones.

PURPOSE OF REVIEW: There has a been rapid progress in the use of artificial intelligence in all aspects of healthcare, and in urology, this is particu...

The emergence of new trends in clinical laboratory diagnosis.

Diagnostic processes typically rely on traditional and laborious methods, that are prone to human error, resulting in frequent misdiagnosis of disease...

Introduction to artificial intelligence in ultrasound imaging in obstetrics and gynecology.

Artificial intelligence (AI) uses data and algorithms to aim to draw conclusions that are as good as, or even better than, those drawn by humans. AI i...

Keeping the "Human in the Loop" in the Age of Artificial Intelligence : Accompanying Commentary for "Correcting the Brain?" by Rainey and Erden.

The benefits of Artificial Intelligence (AI) in medicine are unquestionable and it is unlikely that the pace of its development will slow down. From b...

[Simple Methods to Prevent Postoperative Inguinal Hernia after Extraperitoneal and Transperitoneal Robot-Assisted Radical Prostatectomy].

Herein we present simple methods to prevent postoperative inguinal hernia (IH) after extraperitoneal and transperitoneal robot-assisted radical prosta...

Machine Learning for Work Disability Prevention: Introduction to the Special Series.

Rapid development in computer technology has led to sophisticated methods of analyzing large datasets with the aim of improving human decision making....

Constructing Inpatient Pressure Injury Prediction Models Using Machine Learning Techniques.

The incidence rate of pressure injury is a critical nursing quality indicator in clinic care; consequently, factors causing pressure injury are divers...

Artificial intelligence or manufactured stupidity? The need for injury informaticians in the big data era.

The volume, velocity and variety of data collected about individuals have increased exponentially over the last decade, presenting new injury surveill...

Artificial Intelligence and Machine Learning for HIV Prevention: Emerging Approaches to Ending the Epidemic.

PURPOSE OF REVIEW: We review applications of artificial intelligence (AI), including machine learning (ML), in the field of HIV prevention.

[Digital data for more efficient prevention: ethical and legal considerations regarding potentials and risks].

Digitization offers considerable potential for strengthening prevention in the healthcare system. Data from various clinical and nonclinical sources c...

Can Machine Learning Improve Screening for Targeted Delinquency Prevention Programs?

The cost-effectiveness of targeted delinquency prevention programs for children depends on the accuracy of the screening process. Screening accuracy i...

Innovative Identification of Substance Use Predictors: Machine Learning in a National Sample of Mexican Children.

Machine learning provides a method of identifying factors that discriminate between substance users and non-users potentially improving our ability to...

[A Wearable System for Cervical Spondylosis Prevention Based on Artificial Intelligence].

Accompanied by changes in modern work and lifestyle, the incidence of cervical spondylosis has increased year by year. In view of the fact long-term f...

AnomiGAN: Generative Adversarial Networks for Anonymizing Private Medical Data.

Typical personal medical data contains sensitive information about individuals. Storing or sharing the personal medical data is thus often risky. For ...

Realizing the Potential of Robotics for Aged Care Through Co-Creation.

Socially assistive robots have the potential to improve aged care by providing assistance through social interaction. While some evidence suggests a p...

Artificial Intelligence and Medicine: History, Current State, and Forecasts for the Future.

This article traces the history of the development of artificial intelligence as a science that constantly responds to current problems that arise in ...

High-accuracy Automated Diagnosis of Parkinson's Disease.

PURPOSE: Parkinson's disease (PD), which is the second most common neurodegenerative disease following Alzheimer's disease, can be diagnosed clinicall...

Medication Adherence and Stroke Prevention: What Real World Data Tells Us.

Medication adherence, by definition,(2) is "the extent to which a patient acts in accordance with the prescribed interval and dose of a dosing regimen...