AIMC Topic: Humans

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More Process, Less Principles: The Ethics of Deploying AI and Robotics in Medicine.

Cambridge quarterly of healthcare ethics : CQ : the international journal of healthcare ethics committees
Current national and international guidelines for the ethical design and development of artificial intelligence (AI) and robotics emphasize ethical theory. Various governing and advisory bodies have generated sets of broad ethical principles, which i...

Using artificial intelligence to reduce orthopedic surgical site infection surveillance workload: Algorithm design, validation, and implementation in 4 Spanish hospitals.

American journal of infection control
BACKGROUND: Surgical site infection (SSI) surveillance is a labor-intensive endeavor. We present the design and validation of an algorithm for SSI detection after hip replacement surgery, and a report of its successful implementation in 4 public hosp...

A deep learning-based technique for the diagnosis of epidural spinal cord compression on thoracolumbar CT.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
PURPOSE: To develop a deep learning (DL) model for epidural spinal cord compression (ESCC) on CT, which will aid earlier ESCC diagnosis for less experienced clinicians.

Effect of radiotherapy on phagocytosis percentage and index in patients with oral squamous cell carcinoma.

Journal of cancer research and therapeutics
BACKGROUND: Phagocytosis plays an important role in the fundamental process of immunity and maintains systemic tissue homeostasis. Phagocytosis function is assessed in radiotherapy to signify the prognosis of patient. Therefore, we designed a study t...

Privacy preserving for AI-based 3D human pose recovery and retargeting.

ISA transactions
As an essential research task in artificial intelligence (AI), the estimation of 3D human poses has important application value in virtual reality, medical diagnosis, athlete training and other fields. However, human pose recovery and retargeting req...

Tracking Online Interest in Artificial Intelligence in Ophthalmology Using Google Trends.

Seminars in ophthalmology
PURPOSE: To examine trends in internet search queries related to artificial intelligence (AI) in ophthalmology and determine the correlation between online interest in AI, capital investment in AI, and peer-reviewed indexed publications regarding AI ...

Human-as-a-robot performance in mixed reality teleultrasound.

International journal of computer assisted radiology and surgery
PURPOSE: In "human teleoperation" (HT), mixed reality (MR) and haptics are used to tightly couple an expert leader to a human follower [1]. To determine the feasibility of HT for teleultrasound, we quantify the ability of humans to track a position a...

A long distance telesurgical demonstration on robotic surgery phantoms over 5G.

International journal of computer assisted radiology and surgery
PURPOSE: Using robotic technology and communications infrastructure to remotely perform surgery has been a persistent goal in medical research in the past three decades. The recent deployment of the Fifth-Generation Wireless Networks has revitalized ...

A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Microscopic examination of pathology slides is essential to disease diagnosis and biomedical research. However, traditional manual examination of tissue slides is laborious and subjective. Tumor whole-slide image (WSI) scanning is becoming part of ro...

Artificial Intelligence Model Trained with Sparse Data to Detect Facial and Cranial Bone Fractures from Head CT.

Journal of digital imaging
The presence of cranial and facial bone fractures is an important finding on non-enhanced head computed tomography (CT) scans from patients who have sustained head trauma. Some prior studies have proposed automatic cranial fracture detections, but st...