Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 4,371 to 4,380 of 174,001 articles

[Evolution of China's clinical guidelines for primary liver cancer: insights into the development of hepatocellular carcinoma management].

Zhonghua wai ke za zhi [Chinese journal of surgery]
Since the publication of China's first national"Clinical Practice Guidelines for Primary Liver Cancer"in 2011,the management of hepatocellular carcinoma has evolved from standardization to individualization,from single-discipline decision-making to m... read more 

Determination of intrinsic cellular electrical and mechanical properties using micro/nano manipulation techniques.

Soft matter
Single-mode biophysical fingerprints have specific overlap when cell heterogeneity is analyzed. The cross-sensitivity between these parameters results in significant fuzzy intervals in cell phenotype classification based on one-dimensional features, ... read more 

[Exploration of the application of artificial intelligence assisted bleeding point recognition in laparoscopic pancreatic surgery].

Zhonghua wai ke za zhi [Chinese journal of surgery]
To explore the clinical application value of artificial intelligence models in identifying bleeding events and hemorrhagic points during laparoscopic pancreatic surgery. This single-center retrospective cohort study collected surgical videos of 25 ... read more 

Predicting post-liver transplantation mortality: a retrospective cohort study on risk factor identification and prognostic nomogram construction.

European journal of medical research
BACKGROUND: To identify risk factors for post-transplant mortality and develop a machine learning-integrated prognostic tool to optimise clinical decision-making in liver transplantation (LT) recipients. read more 

[Minimally invasive liver surgery: current trends and future perspectives].

Zhonghua wai ke za zhi [Chinese journal of surgery]
In recent years, the continuous optimization of minimally invasive surgical instruments and equipment for liver procedures, coupled with advancements in surgeons' technical expertise and theoretical frameworks, has propelled the personalized and prec... read more 

SCORCH2: A Generalized Heterogeneous Consensus Model for High-Enrichment Interaction-Based Virtual Screening.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)
The discovery of effective therapeutics remains a complex, costly, and time-consuming endeavor, characterized by high failure rates and significant resource investments. A central bottleneck in early-stage drug discovery is identifying suitable hit c... read more 

Multimodal analysis of cell-free DNA enhances differentiation of early-stage breast cancer from benign lesions and healthy individuals.

BMC biology
BACKGROUND: Breast cancer (BC) remains the second leading cause of cancer-related mortality among women worldwide. Liquid biopsy based on circulating tumor DNA (ctDNA) offers a promising noninvasive approach for early detection; however, differentiat... read more 

Sarcopenia Assessment Using Fully Automated Deep Learning Predicts Cardiac Allograft Survival in Heart Transplant Recipients.

Circulation. Heart failure
BACKGROUND: Sarcopenia is associated with adverse outcomes in patients with end-stage heart failure. Muscle mass can be quantified via manual segmentation of computed tomography images, but this approach is time-consuming and subject to interobserver... read more 

Warning: AI chatbots will soon dominate psychotherapy.

The British journal of psychiatry : the journal of mental science
Psychotherapy chatbots have attained remarkable fluency, skill and ubiquity - having become the single most frequent reason people use artificial intelligence. Their uncanny ability to engage and validate is a two-edged sword - useful for the majorit... read more 

[Preoperative discrimination of colorectal mucinous adenocarcinoma using enhanced CT-based radiomics and deep learning fusion model].

Zhonghua wai ke za zhi [Chinese journal of surgery]
To develop a preoperative differentiation model for colorectal mucinous adenocarcinoma and non-mucinous adenocarcinoma using a combination of contrast-enhanced CT radiomics and deep learning methods. This is a retrospective case series study. Clini... read more