AIMC Topic: Humans

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Three-port transoral robotic thyroidectomy without axillary incision: A preliminary report on a case series from Vietnam.

The international journal of medical robotics + computer assisted surgery : MRCAS
BACKGROUND: Transoral robotic thyroidectomy (TORT) is one of the newest approaches and draws attention because of its cosmetic excellence. Here, we present our preliminary data from the initial 5 consecutive patients to explore the feasibility of thr...

Sensory perception relies on fitness-maximizing codes.

Nature human behaviour
Sensory information encoded by humans and other organisms is generally presumed to be as accurate as their biological limitations allow. However, perhaps counterintuitively, accurate sensory representations may not necessarily maximize the organism's...

Older driver at-fault crashes at unsignalized intersections in Alabama: Injury severity analysis with supporting evidence from a deep learning based approach.

Journal of safety research
INTRODUCTION: The research described in this paper explored the factors contributing to the injury severity resulting from the male and female older driver (65 years and older) at-fault crashes at unsignalized intersections in Alabama.

A deep learning-based cancer survival time classifier for small datasets.

Computers in biology and medicine
Cancer survival time prediction using Deep Learning (DL) has been an emerging area of research. However, non-availability of large-sized annotated medical imaging databases affects the training performance of DL models leading to their arguable usage...

Educating Medical Providers in the Era of Artificial Intelligence.

The journal of physician assistant education : the official journal of the Physician Assistant Education Association

Predicting hip-knee-ankle and femorotibial angles from knee radiographs with deep learning.

The Knee
BACKGROUND: Knee alignment affects the development and surgical treatment of knee osteoarthritis. Automating femorotibial angle (FTA) and hip-knee-ankle angle (HKA) measurement from radiographs could improve reliability and save time. Further, if HKA...

Neurophysiology, Neuropsychology, and Epilepsy, in 2022: Hills We Have Climbed and Hills Ahead. Neurophysiology in epilepsy.

Epilepsy & behavior : E&B
Since the discovery of the human electroencephalogram (EEG), neurophysiology techniques have become indispensable tools in our armamentarium to localize epileptic seizures. New signal analysis techniques and the prospects of artificial intelligence a...

A least square generative network based on invariant contrastive feature pair learning for multimodal MR image synthesis.

International journal of computer assisted radiology and surgery
PURPOSE: During MR-guided neurosurgical procedures, several factors may limit the acquisition of additional MR sequences, which are needed by neurosurgeons to adjust surgical plans or ensure complete tumor resection. Automatically synthesized MR cont...

Automatic classification of distal radius fracture using a two-stage ensemble deep learning framework.

Physical and engineering sciences in medicine
Distal radius fractures (DRFs) are one of the most common types of wrist fracture and can be subdivided into intra- and extra-articular fractures. Compared with extra-articular DRFs which spare the joint surface, intra-articular DRFs extend to the ar...