Clinical decision-making in oncology is challenging and requires the analysis of various data types - from medical imaging and genetic information to patient records and treatment guidelines. To effectively support medical practice, AI models must be capable of processing multimodal data and have reasoning and problem-solving capabilities that resemble those of humans.
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Scientists Argue for More FDA Oversight of Healthcare AI Tools
An agile, transparent, and ethics-driven oversight system is needed for the U.S. Food and Drug Administration (FDA) to balance innovation with patient safety when it comes to artificial intelligence-driven medical technologies. That is the takeaway from a new report issued to the FDA, published in the open-access journal PLOS Medicine by Leo Celi of the Massachusetts Institute of Technology, and colleagues.
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New AI Transforms Radiology with Speed, Accuracy Never Seen Before
A first-of-its-kind generative AI system, developed in-house at Northwestern Medicine, is revolutionizing radiology - boosting productivity, identifying life-threatening conditions in milliseconds and offering a breakthrough solution to the global radiologist shortage, a large new study finds.
The findings will be published on Thursday (June 5) in JAMA Network Open.
New Research Finds Specific Learning Strategies can Enhance AI Model Effectiveness in Hospitals
If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm. A new study out today from York University found proactive, continual and transfer learning strategies for AI models to be key in mitigating data shifts and subsequent harms.
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'AI Scientist' Suggests Combinations of Widely Available Non-Cancer Drugs can Kill Cancer Cells
An 'AI scientist', working in collaboration with human scientists, has found that combinations of cheap and safe drugs - used to treat conditions such as high cholesterol and alcohol dependence - could also be effective at treating cancer, a promising new approach to drug discovery.
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Brains vs. Bytes: Study Compares Diagnoses Made by AI and Clinicians
A University of Maine study compared how well artificial intelligence (AI) models and human clinicians handled complex or sensitive medical cases.
The study published in the Journal of Health Organization and Management in May evaluated more than 7,000 anonymized medical queries from the United States and Australia.
Patients say "Yes..ish" to the use of AI in dentistry
As artificial intelligence (AI) continues to be integrated in healthcare, a new multinational study involving Aarhus University sheds light on how dental patients really feel about its growing role in diagnostics. The verdict? Patients are cautiously optimistic welcoming the potential benefits of AI but drawing a firm line: humans must stay in charge.
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