AIMC Topic: Humans

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MRI-based two-stage deep learning model for automatic detection and segmentation of brain metastases.

European radiology
OBJECTIVES: To develop and validate a two-stage deep learning model for automatic detection and segmentation of brain metastases (BMs) in MRI images.

Deep neural network architecture for automated soft surgical skills evaluation using objective structured assessment of technical skills criteria.

International journal of computer assisted radiology and surgery
PURPOSE: Classic methods of surgery skills evaluation tend to classify the surgeon performance in multi-categorical discrete classes. If this classification scheme has proven to be effective, it does not provide in-between evaluation levels. If these...

Automatic dental biofilm detection based on deep learning.

Journal of clinical periodontology
AIM: To estimate the automated biofilm detection capacity of the U-Net neural network on tooth images.

Short term outcomes after robot assisted and open cystectomy - A nation-wide population-based study.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
INTRODUCTION: We aimed to compare short term outcomes after robot assisted radical cystectomy (RARC) and open radical cystectomy (ORC) for urinary bladder cancer in a large population.

AccNet24: A deep learning framework for classifying 24-hour activity behaviours from wrist-worn accelerometer data under free-living environments.

International journal of medical informatics
OBJECTIVE: Although machine learning techniques have been repeatedly used for activity prediction from wearable devices, accurate classification of 24-hour activity behaviour categories from accelerometry data remains a challenge. We developed and va...

Diagnostic quality model (DQM): an integrated framework for the assessment of diagnostic quality when using AI/ML.

Clinical chemistry and laboratory medicine
BACKGROUND: Laboratory medicine has reached the era where promises of artificial intelligence and machine learning (AI/ML) seem palpable. Currently, the primary responsibility for risk-benefit assessment in clinical practice resides with the medical ...

Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data.

Computers in biology and medicine
Microscopic analysis of breast cancer images is the primary task in diagnosing cancer malignancy. Recent attempts to automate this task have employed deep learning models whose success has depended on large volumes of data, while acquiring annotated ...

Robot-assisted laparoscopic cystectomy with non-continent urinary diversion for neurogenic lower urinary tract dysfunction: Midterm outcomes.

Neurourology and urodynamics
OBJECTIVES: The aim of this study was to assess midterm functional outcomes and complications of robot-assisted laparoscopic cystectomy with non-continent urinary diversion in patients with neurogenic lower urinary tract dysfunction.

Prediction of human thermal comfort preference based on supervised learning.

Journal of thermal biology
Human thermal comfort is relevant to human life comfort and plays a pivotal role in occupational health and thermal safety. To ensure that intelligent temperature-controlled equipment can deliver a sense of cosiness to people while improving its ener...