AIMC Topic: Humans

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Contextualized medication event extraction with striding NER and multi-turn QA.

Journal of biomedical informatics
This paper describes contextualized medication event extraction for automatically identifying medication change events with their contexts from clinical notes. The striding named entity recognition (NER) model extracts medication name spans from an i...

Pediatric Single-Incision Robotic Cholecystectomy: A 6-Year Update from a Single Institution.

Journal of laparoendoscopic & advanced surgical techniques. Part A
In children, gallbladder disease has become more common due to the rise in childhood obesity and subsequent shift in etiology. While the gold standard of surgical management remains a laparoscopic technique, there has been increasing interest in rob...

Deep Learning-Based Non-Contact IPPG Signal Blood Pressure Measurement Research.

Sensors (Basel, Switzerland)
In this paper, a multi-stage deep learning blood pressure prediction model based on imaging photoplethysmography (IPPG) signals is proposed to achieve accurate and convenient monitoring of human blood pressure. A camera-based non-contact human IPPG s...

An equitable and sustainable community of practice framework to address the use of artificial intelligence for global health workforce training.

Human resources for health
Artificial Intelligence (AI) technologies and data science models may hold potential for enabling an understanding of global health inequities and support decision-making related toward possible interventions. However, AI inputs should not perpetuate...

Tool-tissue force segmentation and pattern recognition for evaluating neurosurgical performance.

Scientific reports
Surgical data quantification and comprehension expose subtle patterns in tasks and performance. Enabling surgical devices with artificial intelligence provides surgeons with personalized and objective performance evaluation: a virtual surgical assist...

Predicting the antigenic evolution of SARS-COV-2 with deep learning.

Nature communications
The relentless evolution of SARS-CoV-2 poses a significant threat to public health, as it adapts to immune pressure from vaccines and natural infections. Gaining insights into potential antigenic changes is critical but challenging due to the vast se...

Pacpaint: a histology-based deep learning model uncovers the extensive intratumor molecular heterogeneity of pancreatic adenocarcinoma.

Nature communications
Two tumor (Classical/Basal) and stroma (Inactive/active) subtypes of Pancreatic adenocarcinoma (PDAC) with prognostic and theragnostic implications have been described. These molecular subtypes were defined by RNAseq, a costly technique sensitive to ...

Development and clinical validation of deep learning for auto-diagnosis of supraspinatus tears.

Journal of orthopaedic surgery and research
BACKGROUND: Accurately diagnosing supraspinatus tears based on magnetic resonance imaging (MRI) is challenging and time-combusting due to the experience level variability of the musculoskeletal radiologists and orthopedic surgeons. We developed a dee...

[Robotics in thoracic surgery].

Pneumologie (Stuttgart, Germany)
The increasing diffusion of the robotic-assisted technique in thoracic surgery (RATS) in Germany was initially delayed in comparison with other countries. Therefore, there is a large potential to implement the volume of the surgical procedures perfor...