AIMC Topic: Humans

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Deep learning classification of capnography waveforms: secondary analysis of the PRODIGY study.

Journal of clinical monitoring and computing
Capnography monitors trigger high priority 'no breath' alarms when CO measurements do not exceed a given threshold over a specified time-period. False alarms occur when the underlying breathing pattern is stable, but the alarm is triggered when the C...

Artificial intelligence-based prediction of cervical lymph node metastasis in papillary thyroid cancer with CT.

European radiology
OBJECTIVES: To develop an artificial intelligence (AI) system for predicting cervical lymph node metastasis (CLNM) preoperatively in patients with papillary thyroid cancer (PTC) based on CT images.

Evaluation of interpretability for deep learning algorithms in EEG emotion recognition: A case study in autism.

Artificial intelligence in medicine
Current models on Explainable Artificial Intelligence (XAI) have shown a lack of reliability when evaluating feature-relevance for deep neural biomarker classifiers. The inclusion of reliable saliency-maps for obtaining trustworthy and interpretable ...

Perioperative comparison between robot-assisted and laparoscopic radical cystectomy: An update meta-analysis.

Asian journal of surgery
We conducted this study to explore the efficacy and safety of laparoscopic radical cystectomy (LRC) and robot-assisted radical cystectomy (RARC) for bladder cancer (BC).We searched the PubMed, Embase, Cochrane Library and Web of Science databases for...

Artificial Intelligence in Intensive Care Medicine: Toward a ChatGPT/GPT-4 Way?

Annals of biomedical engineering
Although intensive care medicine (ICM) is a relatively young discipline, it has rapidly developed into a full-fledged and highly specialized specialty covering several fields of medicine. The COVID-19 pandemic led to a surge in intensive care unit de...

Integration of a surgical robotic arm to the connected operating room via ISO IEEE 11073 SDC.

International journal of computer assisted radiology and surgery
PURPOSE: Since 2019, intraoperative networking with ISO IEEE 11073 SDC has, for the first time, enabled standardized multi-vendor data exchange between medical devices. For seamless plug-and-play integration of devices without previous configuration,...

A stiffness-tunable soft actuator inspired by helix for medical applications.

International journal of computer assisted radiology and surgery
PURPOSE: This paper introduces the stiffness-tunable soft actuator (STSA), a novel device that combines a silicone body with a thermoplastic resin structure (TPRS). The STSA's design allows for the variable stiffness of soft robots, significantly inc...

Differentiation between normal and abnormal kidneys using Tc-DMSA SPECT with deep learning in paediatric patients.

Clinical radiology
AIM: To investigate the feasibility of using deep learning (DL) to differentiate normal from abnormal (or scarred) kidneys using technetium-99m dimercaptosuccinic acid (Tc-DMSA) single-photon-emission computed tomography (SPECT) in paediatric patient...

Emerging uses of artificial intelligence in breast and axillary ultrasound.

Clinical imaging
Breast ultrasound is a valuable adjunctive tool to mammography in detecting breast cancer, especially in women with dense breasts. Ultrasound also plays an important role in staging breast cancer by assessing axillary lymph nodes. However, its utilit...

E2EFP-MIL: End-to-end and high-generalizability weakly supervised deep convolutional network for lung cancer classification from whole slide image.

Medical image analysis
Efficient and accurate distinction of histopathological subtype of lung cancer is quite critical for the individualized treatment. So far, artificial intelligence techniques have been developed, whose performance yet remained debatable on more hetero...