AIMC Topic: Humans

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Optimized feature fusion-based modified cascaded kernel extreme learning machine for heart disease prediction in E-healthcare.

Computer methods in biomechanics and biomedical engineering
In recent years, medical technological innovators have focused on diverse clinical therapies to find innovative ways to overcome clinical challenges. But still, there emerge certain drawbacks like high computational cost, increased error, less traini...

Robot-assisted Radical Prostatectomy with the Dexter Robotic System: Initial Experience and Insights into On-demand Robotics.

European urology
We report the world's first case series of ten robot-assisted radical prostatectomy (RARP) procedures performed with the Dexter robotic system (Distalmotion SA, Épalinges, Switzerland). The Dexter system is an open robotic platform that integrates in...

Deep Learning Model for Automated Trainee Assessment During High-Fidelity Simulation.

Academic medicine : journal of the Association of American Medical Colleges
PROBLEM: Implementation of competency-based medical education has necessitated more frequent trainee assessments. Use of simulation as an assessment tool is limited by access to trained examiners, cost, and concerns with interrater reliability. Devel...

Dataset dependency of low-density lipoprotein-cholesterol estimation by machine learning.

Annals of clinical biochemistry
OBJECTIVES: We evaluated the applicability of a machine learning-based low-density lipoprotein-cholesterol (LDL-C) estimation method and the influence of the characteristics of the training datasets.

Robot-assisted segmentectomy with improved modified inflation-deflation combined with the intravenous indocyanine green method.

Journal of robotic surgery
To investigate the perioperative outcomes of patients who underwent robot-assisted thoracoscopic (RATS) segmentectomy for identifying the intersegmental plane (ISP) by improved modified inflation-deflation (MID) combined with near-infrared fluorescen...

Generalizability and portability of natural language processing system to extract individual social risk factors.

International journal of medical informatics
OBJECTIVE: The objective of this study is to validate and report on portability and generalizability of a Natural Language Processing (NLP) method to extract individual social factors from clinical notes, which was originally developed at a different...

Clinical named entity recognition and relation extraction using natural language processing of medical free text: A systematic review.

International journal of medical informatics
BACKGROUND: Natural Language Processing (NLP) applications have developed over the past years in various fields including its application to clinical free text for named entity recognition and relation extraction. However, there has been rapid develo...

A deep-learning-based clinical risk stratification for overall survival in adolescent and young adult women with breast cancer.

Journal of cancer research and clinical oncology
OBJECTIVE: The objective of this study is to construct a novel clinical risk stratification for overall survival (OS) prediction in adolescent and young adult (AYA) women with breast cancer.

Black-box assisted medical decisions: AI power vs. ethical physician care.

Medicine, health care, and philosophy
I raise an ethical problem with physicians using "black box" medical AI algorithms, arguing that its use would compromise proper patient care. Even if AI results are reliable, my contention is that without being able to explain medical decisions to p...