AIMC Topic: Reproducibility of Results

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On the cusp: Considering the impact of artificial intelligence language models in healthcare.

Med (New York, N.Y.)
Goodman etĀ al. discuss how AI technologies like the natural language processing model Chat-GPT could potentially transform healthcare through knowledge dissemination and personalized patient education. Before these tools can be safely integrated into...

Automatic purse-string suture skill assessment in transanal total mesorectal excision using deep learning-based video analysis.

BJS open
BACKGROUND: Purse-string suture in transanal total mesorectal excision is a key procedural step. The aims of this study were to develop an automatic skill assessment system for purse-string suture in transanal total mesorectal excision using deep lea...

Noninferiority of Artificial Intelligence-Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc
Image analysis assistance with artificial intelligence (AI) has become one of the great promises over recent years in pathology, with many scientific studies being published each year. Nonetheless, and perhaps surprisingly, only few image AI systems ...

[Artificial intelligence in medicine: are we ready?].

Recenti progressi in medicina
Artificial intelligence (Ai) tools, in particular those based on machine learning (Ml) and deep learning techniques, have found application in numerous fields of medicine. They are used to create chatbots to provide health information to citizens and...

Scoring sleep with artificial intelligence enables quantification of sleep stage ambiguity: hypnodensity based on multiple expert scorers and auto-scoring.

Sleep
STUDY OBJECTIVES: To quantify the amount of sleep stage ambiguity across expert scorers and to validate a new auto-scoring platform against sleep staging performed by multiple scorers.

Machine learning and deep learning systems for automated measurement of "advanced" theory of mind: Reliability and validity in children and adolescents.

Psychological assessment
Understanding individual differences in theory of mind (ToM; the ability to attribute mental states to others) in middle childhood and adolescence hinges on the availability of robust and scalable measures. Open-ended response tasks yield valid indic...

Expert-Level Immunofixation Electrophoresis Image Recognition based on Explainable and Generalizable Deep Learning.

Clinical chemistry
BACKGROUND: Immunofixation electrophoresis (IFE) is important for diagnosis of plasma cell disorders (PCDs). Manual analysis of IFE images is time-consuming and potentially subjective. An artificial intelligence (AI) system for automatic and accurate...

DrugAI: a multi-view deep learning model for predicting drug-target activating/inhibiting mechanisms.

Briefings in bioinformatics
Understanding the mechanisms of candidateĀ drugs play an important role in drug discovery. The activating/inhibiting mechanisms between drugs and targets are major types of mechanisms of drugs. Owing to the complexity of drug-target (DT) mechanisms an...

[Development and validation of an automatic diagnostic tool for lumbar stability based on deep learning].

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery
OBJECTIVE: To develop an automatic diagnostic tool based on deep learning for lumbar spine stability and validate diagnostic accuracy.

RCSB Protein Data Bank (RCSB.org): delivery of experimentally-determined PDB structures alongside one million computed structure models of proteins from artificial intelligence/machine learning.

Nucleic acids research
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB), founding member of the Worldwide Protein Data Bank (wwPDB), is the US data center for the open-access PDB archive. As wwPDB-designated Archive Keeper, RCSB PDB is ...