Risk Management

Artificial intelligence in the practice of forensic medicine: a scoping review.

Forensic medicine is a thriving application field for artificial intelligence (AI). Indeed, AI applications intended to forensic pathologists or forensic physicians have emerged since the last decade. For example, AI models were developed to help estimate the biological age of migrants or human remains. However, the uses of AI applications by forensic pathologists or physicians and their levels of...

[Quality indicators artificial intelligence].

The ability of some artificial intelligence (AI) systems to autonomously evolve and the sometimes very limited possibilities to comprehend their decision-making processes present new challenges to our legal system. At a European level this has led to reform efforts, of which the proposal for a European AI regulation promises to close regulatory gaps in existing product safety law through cross-sec...

The preliminary efficacy of virtual agent-assisted intelligent rehabilitation treatment (Echo app v2.0) in patients with alcohol use disorders: Study protocol for a randomized controlled trial.

BACKGROUND: Alcohol use disorder (AUD) is one of the most common substance use disorders. People with AUD are in great need of highly accessible and c...

DeepMainmast: integrated protocol of protein structure modeling for cryo-EM with deep learning and structure prediction.

Three-dimensional structure modeling from maps is an indispensable step for studying proteins and their complexes with cryogenic electron microscopy. ...

Doctors' perceptions of using their digital twins in patient care.

Recent Artificial Intelligence (AI) advancements have facilitated tools capable of generating digital twins of real human faces and voices for interac...

Assessing Decision Regret in Patients with Same-Day Discharge Pathway After Robot-Assisted Radical Prostatectomy.

After the introduction of same-day discharge (SDD) pathways for various surgeries, these pathways have demonstrated comparable complication rates and...

Legal and ethical principles governing the use of artificial intelligence in radiology services in South Africa.

Artificial intelligence (AI) will drastically change the healthcare system. Radiology is one speciality that is most affected as AI algorithms are inc...

Defining medical liability when artificial intelligence is applied on diagnostic algorithms: a systematic review.

Artificial intelligence (AI) in medicine is an increasingly studied and widespread phenomenon, applied in multiple clinical settings. Alongside its ma...

Deep learning based MLC aperture and monitor unit prediction as a warm start for breast VMAT optimisation.

. Automated treatment planning today is focussed on non-exact, two-step procedures. Firstly, dose-volume histograms (DVHs) or 3D dose distributions ar...

A benchmarking protocol for SAR colorization: From regression to deep learning approaches.

Synthetic aperture radar (SAR) images are widely used in remote sensing. Interpreting SAR images can be challenging due to their intrinsic speckle noi...

Safety and Effectiveness of an Anti-Xa-based Unfractionated Heparin Protocol for Impella Percutaneous Ventricular Assist Devices.

Impella devices are used for mechanical circulatory support in patients with cardiogenic shock or those undergoing high-risk percutaneous coronary in...

Deep learning-based workflow for hip joint morphometric parameter measurement from CT images.

Precise hip joint morphometry measurement from CT images is crucial for successful preoperative arthroplasty planning and biomechanical simulations. A...

Protocol for the design and accelerated optimization of a waste-to-energy system using AI tools.

Amid a surge in waste volume, the need to achieve sustainable waste treatment has become increasingly important. Here, we present a protocol for the d...

Deep Learning with Geometry-Enhanced Molecular Representation for Augmentation of Large-Scale Docking-Based Virtual Screening.

Structure-based virtual screening has been a crucial tool in drug discovery for decades. However, as the chemical space expands, the existing structur...

Protocol to implement a computational pipeline for biomedical discovery based on a biomedical knowledge graph.

Biomedical knowledge graphs (BKGs) provide a new paradigm for managing abundant biomedical knowledge efficiently. Today's artificial intelligence tech...

[Legal integration of artificial intelligence into internal medicine : Data protection, regulatory, reimbursement and liability questions].

Artificial intelligence (AI) opens up new opportunities to improve medical care in internal medicine; however, legal uncertainties in the application ...

A practical guide to machine-learning scoring for structure-based virtual screening.

Structure-based virtual screening (SBVS) via docking has been used to discover active molecules for a range of therapeutic targets. Chemical and prote...

A Shortened Model for Logan Reference Plot Implemented via the Self-Supervised Neural Network for Parametric PET Imaging.

Dynamic PET imaging provides superior physiological information than conventional static PET imaging. However, the dynamic information is gained at th...

Human-machine cooperation meta-model for clinical diagnosis by adaptation to human expert's diagnostic characteristics.

Artificial intelligence (AI) using deep learning approaches the capabilities of human experts in medical image diagnosis. However, due to liability is...

Self-reporting with checklists in artificial intelligence research on medical imaging: a systematic review based on citations of CLAIM.

OBJECTIVE: To evaluate the usage of a well-known and widely adopted checklist, Checklist for Artificial Intelligence in Medical imaging (CLAIM), for s...