Risk Management

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 th...

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

Recent Artificial Intelligence (AI) advancements have facilitated tools capable of generating digita...

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 h...

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 special...

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, appli...

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-vo...

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...

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 t...

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 arth...

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 increasingl...

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...

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...

[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...

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 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...

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 med...

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 Artific...

Protocol to analyze fundus images for multidimensional quality grading and real-time guidance using deep learning techniques.

Data quality issues have been acknowledged as one of the greatest obstacles in medical artificial in...

Using DeepContact with Amira graphical user interface.

DeepContact is a deep learning software for high-throughput quantification of membrane contact site ...

Integrating deep learning, threading alignments, and a multi-MSA strategy for high-quality protein monomer and complex structure prediction in CASP15.

We report the results of the "UM-TBM" and "Zheng" groups in CASP15 for protein monomer and complex s...

Artificial intelligence: a new editor limiting self-citation malpractice.