AIMC Topic: Humans

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How to Prepare Prospective Psychiatrists in the Era of Artificial Intelligence.

Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry Jan 18, 2019
Students, Medical Education, Medical Inventions Humans Artificial Intelligence Psychiatry
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Comparison of peak oxygen consumption response to aquatic and robotic therapy in individuals with chronic motor incomplete spinal cord injury: a randomized controlled trial.

Spinal cord Jan 18, 2019
STUDY DESIGN: Randomized dual center controlled clinical trial.
Adult Male Middle Aged Humans Prospective Studies Female Rehabilitation Centers Exercise Therapy Robotics Spinal Cord Injuries Oxygen Consumption Water Sports Exercise Test
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Machine learning as a supportive tool to recognize cardiac arrest in emergency calls.

Resuscitation Jan 18, 2019
BACKGROUND: Emergency medical dispatchers fail to identify approximately 25% of cases of out of hospital cardiac arrest, thus lose the opportunity to provide the caller instructions in cardiopulmonary resuscitation. We examined whether a machine lear...
Out-of-Hospital Cardiac Arrest Emergency Medical Dispatch Emergency Medical Service Communication Systems ROC Curve Emergency Medical Services Cardiopulmonary Resuscitation Humans Female Machine Learning Aged Retrospective Studies Male Aged, 80 and over Middle Aged Time Factors
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Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering.

International journal of medical informatics Jan 18, 2019
OBJECTIVE: Melanoma is a dangerous form of the skin cancer responsible for thousands of deaths every year. Early detection of melanoma is possible through visual inspection of pigmented lesions over the skin, treated with simple excision of the cance...
Skin Neoplasms Fuzzy Logic Humans Dermoscopy Cluster Analysis Sensitivity and Specificity Neural Networks, Computer Melanoma
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Recurrent inference machines for reconstructing heterogeneous MRI data.

Medical image analysis Jan 18, 2019
Deep learning allows for accelerated magnetic resonance image (MRI) reconstruction, thereby shortening measurement times. Rather than using sparsifying transforms, a prerequisite in Compressed Sensing (CS), suitable MRI prior distributions are learne...
Image Processing, Computer-Assisted Humans Magnetic Resonance Imaging Neural Networks, Computer Signal-To-Noise Ratio Brain Deep Learning
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Editorial Comment to Peritumoral pseudocapsule status according to pathological characteristics from robot-assisted laparoscopic partial nephrectomy for localized renal cell carcinoma.

International journal of urology : official journal of the Japanese Urological Association Jan 18, 2019
Humans Robotics Laparoscopy Kidney Neoplasms Carcinoma, Renal Cell Nephrectomy
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Prostate cancer classification with multiparametric MRI transfer learning model.

Medical physics Jan 18, 2019
PURPOSE: Prostate cancer classification has a significant impact on the prognosis and treatment planning of patients. Currently, this classification is based on the Gleason score analysis of biopsied tissues, which is neither accurate nor risk free. ...
Male Image Processing, Computer-Assisted Magnetic Resonance Imaging Prostatic Neoplasms Humans Machine Learning
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A Deep Neural Network-Based Pain Classifier Using a Photoplethysmography Signal.

Sensors (Basel, Switzerland) Jan 18, 2019
Side effects occur when excessive or low doses of analgesics are administered compared to the required amount to mediate the pain induced during surgery. It is important to accurately assess the pain level of the patient during surgery. We proposed a...
Heart Rate Humans Postoperative Period ROC Curve Neural Networks, Computer Support Vector Machine Middle Aged Models, Theoretical Algorithms Signal Processing, Computer-Assisted Photoplethysmography Deep Learning Pain Time Factors
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Forecasting Pedestrian Movements Using Recurrent Neural Networks: An Application of Crowd Monitoring Data.

Sensors (Basel, Switzerland) Jan 18, 2019
Currently, effective crowd management based on the information provided by crowd monitoring systems is difficult as this information comes in at the moment adverse crowd movements are already occurring. Up to this moment, very little forecasting tech...
Neural Networks, Computer Algorithms Netherlands Forecasting Humans Movement Reproducibility of Results Crowding Geographic Information Systems Pedestrians
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Using artificial intelligence to assess clinicians' communication skills.

BMJ (Clinical research ed.) Jan 18, 2019
Teaching Communication Barriers Social Skills Inventions Speech Perception Verbal Behavior Humans Educational Technology Artificial Intelligence Machine Learning Physicians Physician-Patient Relations
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