AIMC Topic: Artificial Intelligence

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DBPNDNet: dual-branch networks using 3DCNN toward pulmonary nodule detection.

Medical & biological engineering & computing
With the advancement of artificial intelligence, CNNs have been successfully introduced into the discipline of medical data analyzing. Clinically, automatic pulmonary nodules detection remains an intractable issue since those nodules existing in the ...

Vascular persistence following precision micropuncture.

Microcirculation (New York, N.Y. : 1994)
OBJECTIVE: The success of engineered tissues continues to be limited by time to vascularization and perfusion. Recently, we described a simple microsurgical approach, termed micropuncture (MP), which could be used to rapidly vascularize an adjacently...

Predicting molecular docking of per- and polyfluoroalkyl substances to blood protein using generative artificial intelligence algorithm DiffDock.

BioTechniques
This study computationally evaluates the molecular docking affinity of various perfluoroalkyl and polyfluoroalkyl substances (PFAs) towards blood proteins using a generative machine-learning algorithm, DiffDock, specialized in protein-ligand blind-do...

Can the generalizability issue of artificial intelligence be overcome? Pneumothorax detection algorithm.

Journal of investigative medicine : the official publication of the American Federation for Clinical Research
The generalizability of artificial intelligence (AI) models is a major issue in the field of AI applications. Therefore, we aimed to overcome the generalizability problem of an AI model developed for a particular center for pneumothorax detection usi...

[Current CT developments in imaging of pancreatic diseases].

Radiologie (Heidelberg, Germany)
BACKGROUND: Diseases of the pancreas are often diagnosed late and can have fatal consequences for patients.

Explainable AI Elucidates Musculoskeletal Biomechanics: A Case Study Using Wrist Surgeries.

Annals of biomedical engineering
As datasets increase in size and complexity, biomechanists have turned to artificial intelligence (AI) to aid their analyses. This paper explores how explainable AI (XAI) can enhance the interpretability of biomechanics data derived from musculoskele...

Understanding the factors influencing acceptability of AI in medical imaging domains among healthcare professionals: A scoping review.

Artificial intelligence in medicine
BACKGROUND: Artificial intelligence (AI) technology has the potential to transform medical practice within the medical imaging industry and materially improve productivity and patient outcomes. However, low acceptability of AI as a digital healthcare...