AIMC Topic: Humans

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The efficacy of low-dose CT with deep learning image reconstruction in the surveillance of incidentally detected pancreatic cystic lesions.

Abdominal radiology (New York)
PURPOSE: To evaluate the efficacy of low-dose CT (LDCT) with deep learning image reconstruction (DLIR) for the surveillance of pancreatic cystic lesions (PCLs) compared with standard-dose CT (SDCT) with adaptive statistical iterative reconstruction (...

Robotic Versus Laparoscopic Ventral Hernia Repair: Two-Year Results From a Prospective, Multicenter, Blinded Randomized Clinical Trial.

Annals of surgery
OBJECTIVE: Report the 2-year outcomes of a multicenter randomized controlled trial comparing robotic versus laparoscopic intraperitoneal onlay mesh ventral hernia repair.

Role of the internet of medical things in care for patients with interstitial lung disease.

Current opinion in pulmonary medicine
PURPOSE OF REVIEW: Online technologies play an increasing role in facilitating care for patients with interstitial lung disease (ILD). In this review, we will give an overview of different applications of the internet of medical things (IoMT) for pat...

Development, multi-institutional external validation, and algorithmic audit of an artificial intelligence-based Side-specific Extra-Prostatic Extension Risk Assessment tool (SEPERA) for patients undergoing radical prostatectomy: a retrospective cohort study.

The Lancet. Digital health
BACKGROUND: Accurate prediction of side-specific extraprostatic extension (ssEPE) is essential for performing nerve-sparing surgery to mitigate treatment-related side-effects such as impotence and incontinence in patients with localised prostate canc...

KEBLM: Knowledge-Enhanced Biomedical Language Models.

Journal of biomedical informatics
Pretrained language models (PLMs) have demonstrated strong performance on many natural language processing (NLP) tasks. Despite their great success, these PLMs are typically pretrained only on unstructured free texts without leveraging existing struc...

Artificial intelligence in intestinal polyp and colorectal cancer prediction.

Cancer letters
Artificial intelligence (AI) algorithms and their application to disease detection and decision support for healthcare professions have greatly evolved in the recent decade. AI has been widely applied and explored in gastroenterology for endoscopic a...

Artificial intelligence in assisted reproductive technology: how best to optimize this tool of the future.

Fertility and sterility
Artificial intelligence, at a simple level, involves the use of a computer that can perform "human" functions: learning from experience, adjusting to new inputs, and simulating human intelligence performing human tasks. This Views and Reviews brings ...

Applications of artificial intelligence in ovarian stimulation: a tool for improving efficiency and outcomes.

Fertility and sterility
Because of the birth of the first baby after in vitro fertilization (IVF), the field of assisted reproductive technologies (ARTs) has seen significant advancements in the past 40 years. Over the last decade, the healthcare industry has increasingly a...