Risk Management

Challenges involved in the application of artificial intelligence in gastroenterology: The race is on!

Gastroenterology is a particularly data-rich field, generating vast repositories of data that are a ...

Ethical implications of AI and robotics in healthcare: A review.

Integrating Artificial Intelligence (AI) and robotics in healthcare heralds a new era of medical inn...

Advances, trends and challenges in the use of biochar as an improvement strategy in the anaerobic digestion of organic waste: a systematic analysis.

A recently strategy applied to anaerobic digestion (AD) is the use of biochar (BC) obtained from the...

Real-Time Monitoring for Aseptic Drilling: Lessons Learned from the Atacama Rover Astrobiology Drilling Studies Contamination Control Strategy and Implementation and Application to the Icebreaker Mars Life Detection Mission.

In 2019, the Atacama Rover Astrobiology Drilling Studies (ARADS) project field-tested an autonomous ...

Artificial Intelligence in Medicine: Issues When Determining Negligence.

The introduction of novel medical technology, such as artificial intelligence (AI), into traditional...

Determination of the melanin and anthocyanin content in barley grains by digital image analysis using machine learning methods.

The pigment composition of plant seed coat affects important properties such as resistance to pathog...

Artificial intelligence and clinical decision support: clinicians' perspectives on trust, trustworthiness, and liability.

Artificial intelligence (AI) could revolutionise health care, potentially improving clinician decisi...

Facilitating the Molecular Diagnosis of Rare Genetic Disorders Through Facial Phenotypic Scores.

With recent advances in computer vision, many applications based on artificial intelligence have bee...

Radiologist's Guide to Evaluating Publications of Clinical Research on AI: How We Do It.

Literacy in research studies of artificial intelligence (AI) has become an important skill for radio...

Leveraging AI Advances and Online Tools for Structure-Based Variant Analysis.

Understanding how a gene variant affects protein function is important in life science, as it helps ...

Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study.

BACKGROUND: Retrospective studies have shown promising results using artificial intelligence (AI) to...

Generative AI in Health Care and Liability Risks for Physicians and Safety Concerns for Patients.

Bio-signals Collecting System for Fatigue Level Classification.

Fatigue is a risk factor that reduces quality of life and work efficiency, and threatens safety in a...

Model-Independent Learning of Quantum Phases of Matter with Quantum Convolutional Neural Networks.

Quantum convolutional neural networks (QCNNs) have been introduced as classifiers for gapped quantum...

[The Effect of Naldemedine Tosylate on the Postoperative Course of Robot-Assisted Radical Cystectomy].

Radical cystectomy is an invasive procedure frequently followed by postoperative complications. Alth...

[Legal regulation of clinical application of artificial intelligence].

With the wide application of artificial intelligence (AI) technology in clinical practice, more and ...

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

Artificial intelligence (Ai) tools, in particular those based on machine learning (Ml) and deep lear...

Searching and Navigating UniProt Databases.

The Universal Protein Resource (UniProt) is a comprehensive resource for protein sequence and annota...

A deep transfer learning-based protocol accelerates full quantum mechanics calculation of protein.

Effective full quantum mechanics (FQM) calculation of protein remains a grand challenge and of great...

Prediction of Bacterial Immunogenicity by Machine Learning Methods.

Prediction of bacterial immunogens is a prerequisite for the process of vaccine development through ...

The role of artificial intelligence in clinical imaging and workflows.

Evidence-based medicine, outcomes management, and multidisciplinary systems are laying the foundatio...