AIMC Topic: Biomedical Research
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Common Pitfalls and Recommendations for Grand Challenges in Medical Artificial Intelligence.
European urology focus
Jun 11, 2021
With the impact of artificial intelligence (AI) algorithms on medical research on the rise, the importance of competitions for comparative validation of algorithms, so-called challenges, has been steadily increasing, to a point at which challenges ca...
The potential of AI in cancer care and research.
Biochimica et biophysica acta. Reviews on cancer
May 28, 2021
Current applications of artificial intelligence (AI), machine learning, and deep learning in cancer research and clinical care are highly diverse-from aiding radiologists in reading medical images to predicting oncoprotein folding and dynamics. The l...
Learning on knowledge graph dynamics provides an early warning of impactful research.
Nature biotechnology
May 17, 2021
The scientific ecosystem relies on citation-based metrics that provide only imperfect, inconsistent and easily manipulated measures of research quality. Here we describe DELPHI (Dynamic Early-warning by Learning to Predict High Impact), a framework t...
Presenting artificial intelligence, deep learning, and machine learning studies to clinicians and healthcare stakeholders: an introductory reference with a guideline and a Clinical AI Research (CAIR) checklist proposal.
Acta orthopaedica
May 14, 2021
Background and purpose - Artificial intelligence (AI), deep learning (DL), and machine learning (ML) have become common research fields in orthopedics and medicine in general. Engineers perform much of the work. While they gear the results towards he...
Automated biomarker candidate discovery in imaging mass spectrometry data through spatially localized Shapley additive explanations.
Analytica chimica acta
Apr 26, 2021
The search for molecular species that are differentially expressed between biological states is an important step towards discovering promising biomarker candidates. In imaging mass spectrometry (IMS), performing this search manually is often impract...
A primer on applying AI synergistically with domain expertise to oncology.
Biochimica et biophysica acta. Reviews on cancer
Apr 24, 2021
BACKGROUND: The concurrent growth of large-scale oncology data alongside the computational methods with which to analyze and model it has created a promising environment for revolutionizing cancer diagnosis, treatment, prevention, and drug discovery....
COVID-19 in the Age of Artificial Intelligence: A Comprehensive Review.
Interdisciplinary sciences, computational life sciences
Apr 22, 2021
The recent COVID-19 pandemic, which broke at the end of the year 2019 in Wuhan, China, has infected more than 98.52 million people by today (January 23, 2021) with over 2.11 million deaths across the globe. To combat the growing pandemic on urgent ba...
COVID-19 Testing
Clinical Decision-Making
COVID-19 Drug Treatment
Biomedical Research
Diagnosis, Computer-Assisted
COVID-19
Therapy, Computer-Assisted
Computer-Aided Design
Antiviral Agents
Decision Support Techniques
Drug Design
Humans
Prognosis
Drug Discovery
Artificial Intelligence
Severity of Illness Index
Core services that power AI-driven transformation in cancer research and care.
Biochimica et biophysica acta. Reviews on cancer
Apr 10, 2021
This review captures some key lessons learned in the course of helping some of America's leading healthcare AI innovators achieve scale and sustained impact in complex research and care delivery ecosystems. AI innovators may find it useful to access ...
Machine Learning Generated Synthetic Faces for Use in Facial Aesthetic Research.
Facial plastic surgery & aesthetic medicine
Mar 11, 2021
A centralized repository of clinically applicable facial images with unrestricted use would facilitate facial aesthetic research. Using a machine learning neural network, we aim to (1) create a repository of synthetic faces that can be used for fac...
Biomedical Vibrational Spectroscopy in the Era of Artificial Intelligence.
Molecules (Basel, Switzerland)
Mar 6, 2021
Biomedical vibrational spectroscopy has come of age. The past twenty years have brought many advancements and new developments and now its practitioners face a new challenge: artificial intelligence. Artificial intelligence has the capability to dete...
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