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Medicolegal

Latest AI and machine learning research in medicolegal for healthcare professionals.

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Can open source large language models be used for tumor documentation in Germany? -- An evaluation on urological doctors' notes

Tumor documentation in Germany is largely done manually, requiring reading patient records and ent...

[Legal Risk Assessment and Prevention in Artificial Intelligence-Assisted Health Care].

With the wide application of new technologies such as large language models and generative artificia...

Jan 2025 40109456
In the Picture: Medical Imaging Datasets, Artifacts, and their Living Review

Datasets play a critical role in medical imaging research, yet issues such as label quality, short...

Datasheets for Healthcare AI: A Framework for Transparency and Bias Mitigation

The use of AI in healthcare has the potential to improve patient care, optimize clinical workflows...

AutoFish: Dataset and Benchmark for Fine-grained Analysis of Fish

Automated fish documentation processes are in the near future expected to play an essential role i...

Deposition Rates in Thermal Laser Epitaxy: Simulation and Experiment

The modeling of deposition rates in Thermal Laser Epitaxy (TLE) is essential for the accurate pred...

Denoising 7T Structural MRI with Conditional Generative Diffusion Models

7T MRI offers ultra-high resolution and improved sensitivity for iron deposition in neurodegenerativ...

Neural Network-Enhanced Investigation of Ferroptosis and Druggability in Early-Onset Alzheimer’s Disease

Alzheimer’s disease (AD) is a complex neurodegenerative disorder which is multifactorial in nature. ...

Depositing biological segmentation datasets FAIRly

Segmentation of biological images identifies regions of an image which correspond to specific featur...

α-SMA/VCAM-1 Dual-Targeted Nanoplatform Improves Drug Release and Therapeutic Efficacy in Liver Fibrosis

Liver fibrosis is a progressive pathological condition characterized by hepatic stellate cell (HSC) ...

mosna reveals different types of cellular interactions predictive of response to immunotherapies and survival in cancer

Spatially resolved omics enable the discovery of tissue organization of biological or clinical impor...

Dataset Documentation for Responsible AI: Analysis of Suitability and Usage for Health Datasets

Artificial Intelligence (AI) is rapidly transforming healthcare, but also raising concerns about alg...

Biologically Inspired Digital Histology for Deep Phenotyping of Placental Composition Changes Across Major Lesion Types

Placenta pathology provides diagnostic insights for understanding pregnancy complications and guides...

AI-based Predictive Signaling Pathway Profiling in Cardiac Fibrosis Suggests a Novel Combinatorial Treatment Strategy

Cardiovascular disease (CVD) remains the leading cause of global mortality, with myocardial fibrosis...

Temporal Dynamics of High-Frequency Oscillations in Alzheimer’s Disease: A Longitudinal Study in hAPP-J20 Mice

Alzheimer’s disease (AD) is characterized by progressive cognitive decline and increased seizure sus...

Studying Veteran food insecurity longitudinally using electronic health record data and natural language processing

Food insecurity is an important social risk factor that is directly linked to patient health and wel...

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