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Deep Dive

Smart Medicine: The Promise and Peril of AI in Healthcare

By
Greg Bruno
Posted
March 19, 2025
Pace students working in the health care simulation lab.

To the untrained eye, the grainy medical images vaguely look like knees, black and white scans of what might be muscle, bone, and green wisps of something else.

But to Juan Shan, PhD, an associate professor of computer science in the Seidenberg School of Computer Science and Information Systems at 男女操逼视频软件, the photos are validation of a decades-long hunch: robots can read an MRI.

Image
Professor Juan Shan at a desk working with a laptop.
Juan Shan, PhD

男女操逼视频软件淭he method does not require any human intervention,男女操逼视频软件 Shan wrote in a detailing her machine learning tool for identifying bone marrow lesions (BMLs), early indicators of knee osteoarthritis. In a standard MRI, BMLs appear as pixelated clouds. In Shan男女操逼视频软件檚 model, they pop in vibrant hues of color.

男女操逼视频软件淭his work provides a possible convenient tool to assess BML volumes efficiently in larger MRI data sets to facilitate the assessment of knee osteoarthritis progression,男女操逼视频软件 Shan wrote.

As artificial intelligence (AI) reshapes how medicine is practiced and delivered, Pace researchers like Shan are shaping the technology男女操逼视频软件and the guardrails男女操逼视频软件driving the revolution in clinical care. Computer scientists at Pace harness machine learning to build tools to in pediatric care and strengthen clinical decision-making. Social scientists work to in AI-supported applications. And students are taking their skills to the field, addressing challenges like .

Collectively, their goal isn男女操逼视频软件檛 to replace people in lab coats. Rather, it男女操逼视频软件檚 to facilitate doctors男女操逼视频软件 work and make medicine more precise, efficient, and equitable.

男女操逼视频软件淚n healthcare, AI enables earlier disease detection, personalized medicine, improves patient and clinical outcomes, and reduces the burden on healthcare systems,男女操逼视频软件 said Soheyla Amirian, PhD, an assistant professor of computer science at Seidenberg who, like Shan, trains computers to diagnose illnesses.

男女操逼视频软件淣ew York is a world-class hub for innovation, healthcare, and advanced technologies, and its diversity makes it the perfect place to explore how fair and responsible AI can address inequities across populations,男女操逼视频软件 Amirian said.

In Shan男女操逼视频软件檚 lab, that work begins below the kneecap. Together with colleagues, she feeds medical images男女操逼视频软件MRIs and X-rays男女操逼视频软件into machine learning models to train them to detect early signs of joint disease. They男女操逼视频软件檙e looking to identify biomarkers男女操逼视频软件cartilage, bone marrow lesions, effusions男女操逼视频软件攖hat might indicate whether a patient has or is prone to developing osteoarthritis, the fourth leading cause of disability in the world. Current results indicate her models generate results that are highly correlated with manual labels marked by physicians.

男女操逼视频软件淲e want to apply the most advanced techniques in machine learning to the medical domain, to give doctors, radiologists, and other practitioners a second opinion to improve their diagnosis accuracy."

Shan男女操逼视频软件檚 vision is to create diagnostic tools that would supplement human interventions and pre-screen patients who are at lower risk of disease.

男女操逼视频软件淲e want to apply the most advanced techniques in machine learning to the medical domain, to give doctors, radiologists, and other practitioners a second opinion to improve their diagnosis accuracy,男女操逼视频软件 she said. 男女操逼视频软件淥ur goal is to automate time-consuming medical tasks男女操逼视频软件攍ike manual labeling of scans男女操逼视频软件攖o free doctors for other, more human tasks.男女操逼视频软件

Pace has invested heavily in training future leaders in AI and machine learning applications. A key focal point for these efforts has been in the healthcare sector, where rapid innovations are changing the patient experience for the better. Over the last decade, Pace researchers have published more than addressing questions in psychology, biology, and medicine. Much of this work has taken advantage of AI applications.

Information technology professor Yegin Genc, PhD, and PhD student Xing Chen explored the use of AI in clinical psychology. Computer science professor D. Paul Benjamin, PhD, and PhD student Gunjan Asrani used machine learning to analyze features of patients男女操逼视频软件 speech to assess diagnostic criteria for cluttering, a fluency disorder.

Lu Shi, PhD, an associate professor of health sciences at the College of Health Professions, even uses AI to brainstorm complex healthcare questions for his students男女操逼视频软件攍ike whether public health insurance should cover the cost of birth companions (doulas) for undocumented migrant women.

男女操逼视频软件淚n the past, that kind of population-wide analysis could be an entire dissertation project for a PhD student, who would have spent up to two years reaching a conclusion,男女操逼视频软件 Shi said. 男女操逼视频软件淲ith consumer-grade generative AI, answering a question like that might take a couple of days.男女操逼视频软件

Pace男女操逼视频软件檚 efforts complement rapid developments in healthcare technology around the world. Today, AI is helping emergency dispatchers in Denmark , accelerating drug discoveries in the US, and revolutionizing how .

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Pace professor Soheyla Amirian posing for the camera.
Soheyla Amirian, PhD

Amirian, like Shan, is developing AI-powered tools for analyzing the knee. Her work, which she said has significant potential for commercialization, aims to assist clinicians in diagnosing and monitoring osteoarthritis with accurate and actionable insights. 男女操逼视频软件淚ts scalability and ability to integrate with existing healthcare systems make it a promising innovation for widespread adoption,男女操逼视频软件 she said.

A key focus for Amirian is . 男女操逼视频软件淩educing healthcare disparities is central to my work,男女操逼视频软件 she said. As head of the at Pace, Amirian leads a multidisciplinary team of computer scientists, informaticians, physicians, AI experts, and students to create AI models that work well for diverse populations.

Intentionality is essential. 男女操逼视频软件淭he objective is to develop algorithms that minimize bias related to sex, ethnicity, or socioeconomic status, ensuring equitable healthcare outcomes,男女操逼视频软件 Amirian said. 男女操逼视频软件淭his work is guided by the principle that AI should benefit everyone, not just a privileged few.男女操逼视频软件

Zhan Zhang, PhD, another Pace computer science researcher, has won accolades for his contribution to the field of AI and medicine. Like Amirian and Shan, he shares the view that while AI holds great potential, it must be developed with caution. In a recent literature review, he warned that 男女操逼视频软件渂ias, whether in data or algorithms, is a cardinal ethical concern男女操逼视频软件 in medicine.

男女操逼视频软件淒ata bias arises when data used to train the AI models are not representative of the entire patient population,男女操逼视频软件 Zhang wrote in a for the journal, Frontiers in Computer Science. 男女操逼视频软件淭his can lead to erroneous conclusions, misdiagnoses, and inappropriate treatment recommendations, disproportionately affecting underrepresented populations.男女操逼视频软件

男女操逼视频软件淲hile AI offers immense opportunities, addressing challenges like algorithmic bias, data privacy, and transparency is crucial.男女操逼视频软件

Preventing bias in AI healthcare applications won男女操逼视频软件檛 be easy. For one, privacy concerns can create a bottleneck for securing data for research. There男女操逼视频软件檚 also a simple numbers challenge. Unlike AI models trained on public image benchmarks, which draw on millions of inputs, training AI models on medical images is limited by a dearth of information, said Shan. While there are efforts to augment the dataset and generate synthetic data, the relatively small size of the available medical datasets is still a barrier to fully unlocking the potential of deep learning models.

Solving these challenges will be essential for AI男女操逼视频软件檚 potential in healthcare to be realized. 男女操逼视频软件淲hile AI offers immense opportunities, addressing challenges like algorithmic bias, data privacy, and transparency is crucial,男女操逼视频软件 Amirian said.

Simply put, AI is both a threat and an opportunity. 男女操逼视频软件淭he opportunity lies in its potential to revolutionize industries, improve efficiency, and solve global challenges,男女操逼视频软件 Amirian said. 男女操逼视频软件淏ut it becomes a threat if not used ethically and responsibly. By fostering ethical frameworks and interdisciplinary collaboration, we can ensure AI serves as a tool for good, promoting equity and trust.男女操逼视频软件

Above all, she said, as AI offers 男女操逼视频软件渟marter solutions男女操逼视频软件 to many modern problems, it男女操逼视频软件檚 also 男女操逼视频软件渃hallenging us to consider its societal and ethical implications.男女操逼视频软件

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