Pings
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3 Answers 0 Votes
What deep learning strategies best balance accuracy and interpretability in medical image segmentation for disease progression analysis?
Medical imaging (CT/MRI) segmentation is vital for tracking disease, but black-box models reduce clinical trust. Methods like explainable AI (XAI), uncertainty quantification, and hybrid modeling may bridge this gap. What approaches are most promising?
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4 Answers 0 Votes
How to examine for power of grip in a patient with weakness?
When we do clinical examination for weakness, power is ascertained by MRC grading. However, for grip, MRC grading cannot be used. Is there any method to examine hand grip power other than using dynamometer
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Answer Accepted 1 Answer 1 Vote
Assuming your role involves human health, how do you identify those medical practitioners of expertise when you suggest a consultant for your patient?
There is a difference in the skill of physicians to whom we entrust lives. This quotation has relevance to such a dilemma: "What do you call the medical student who graduates first in his class? —-"Doctor" "And what do you call the med student who graduates last in his class? — "Doctor" [Image]
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Answer Accepted 2 Answers 0 Votes
How can AI-enhanced modeling reshape climate-resilient water management in data-scarce regions over the next decade?
Water security is becoming one of the most critical challenges of our time, particularly in regions where hydrological data is scarce or unreliable. At the same time, artificial intelligence and machine learning are revolutionizing how we model environmental systems. The question is: Can these technologies bridge the data gap, improve decision-making, and help design sustainable, climate-resilient water management systems? We're looking for scientific insights, innovative use cases, and...
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Answer Accepted 3 Answers 1 Vote
What’s the most creative way researchers have used big data or AI to strengthen evidence-based medicine in recent years?
For example, are there cases where AI discovered hidden patterns in old clinical trial data, predicted drug interactions before human testing, or identified new risk factors from wearable health devices?
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Answer Accepted 3 Answers 3 Votes
Are the Government Doctors well paid even after having so much workload?
Even after working non-stop the Physicians at Government Institutes and Hospitals are lowly paid.
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Answer Accepted 1 Answer 0 Votes
Does the anti-aging gene Sirtuin 1 need to be measured in early disease screening in COVID-19 and AIDS patients?
The defective gene in the global chronic disease epidemic has now been linked to the anti-aging gene Sirtuin 1. Sirtuin 1 is now an important gene for consideration in Frontiers and Genetics. Nutritional regulation of Sirtuin 1 is critical to nuclear receptors/transcription factors that are involved with glucose homeostasis, immune system, body temperature regulation, stem cell therapy and mitochondrial biogenesis. Plasma Sirtuin 1 levels may be of critical interest to COVID-19, AIDS and the...
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0 Answers 0 Votes
In what way is fluence-dependent photobiomodulation at 660 nm modulating mitochondrial-driven motility and acrosomal membrane stability in human spermatozoa, and can a simulation-based model incorpora
This question integrates: Biophysical mechanisms (mitochondrial activity, acrosomal membrane) Photobiomodulation parameters (fluence, wavelength) Computational modeling (simulation-based, biological noise) Clinical translation (fertility optimization
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6 Answers 4 Votes
How might AI-assisted peer review tools reshape scientific publishing, and what safeguards should be implemented to maintain review quality while addressing the increasing volume of submissions?
The peer-reviewing process is being faced with ever-growing challenges as submission rates are still rising exponentially in all areas. Journal editors are faced with the challenge of getting capable reviewers who are ready to volunteer their time, with a result being delays in reviewing, reviewer exhaustion, and worse, compromised quality. Meanwhile, AI technologies are accelerating their ability to review scientific manuscripts for methodology, statistical fitting, plagiarism screenings,...
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Answer Accepted 7 Answers 2 Votes
Do you think general physicians or medical doctors might be redundant when AGI is fully developed?
This is a burning topic in medical or clinicians' circles globally as it might have the potential to shake up the medical profession due to the concerted efforts by AI enthusiasts by questioning the relevance of the doctors e.g. general physicians if not all (e.g. medial surgeons or specialists). This may be a challenge for the future healthcare planners and might need a thorough debate. The following reference might give a glimpse and assist while answering for my ping question. Kazzazi F....
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