Medical Care
GE HealthCare Submits Deep Learning Tech for FDA Approval at RSNA
2024-12-04
At this year's RSNA meeting in Chicago, US, GE HealthCare made a significant announcement. They have submitted a 510(k) application to the US Food and Drug Administration (FDA) for CleaRecon DL, a deep learning technology that utilizes AI-based 3D reconstruction to enhance the quality of cone-beam computed tomography (CBCT) images.

Improving Image Quality and Clinical Confidence

The technology will be available for GE HealthCare's Allia image-guided solutions (IGS) systems. It removes streaks, heightening clinicians' confidence in image interpretation when analyzing CBCT data. For instance, the Allia IGS Pulse system, aimed at enhancing workflow in diagnosing and treating cardiovascular diseases in interventional cardiology, received FDA clearance in October 2023. Arnaud Marie, general manager for global intervention at GE HealthCare, emphasized the significance of this technology. He stated that over the years, artifacts created during scans due to the natural movement of the body and the distribution of contrast have posed a major challenge to clinicians when obtaining CBCT images, acting as a significant barrier to the adoption of CBCT technology. CleaRecon DL is designed to address this issue, enabling physicians and their patients to benefit from advanced imaging technology.

GE HealthCare's Range of Technologies

In addition to CleaRecon DL, GE HealthCare also launched Sonic DL, another deep learning technology. This technology is designed to expedite magnetic resonance imaging (MRI) scans across various clinical applications. This week, the medtech giant entered an agreement to purchase the remaining 50% stake in Nihon Medi-Physics (NMP) from Sumitomo Chemical, having held 50% in NMP since acquiring Amersham in 2004.

RSNA News and Other Highlights

During the Radiological Society of North America's (RSNA) 2024 meeting, GE HealthCare provided an update on the FDA submission. Philips showcased its next-generation BlueSeal 1.5T magnetic resonance imaging system at the meeting. US-based radiology practice Radiology Partners (RP) announced a partnership with RADPAIR to further the development of generative AI use in radiology. According to GlobalData’s Market Size & Growth database, the global diagnostic imaging space was valued at around $36.3bn in 2023 and is forecast to reach a valuation of around $54.8bn by 2033.
Why Health Care Cybersecurity Is Failing and What's Being Done
2024-12-04
Year after year, the issue of health care data breaches continues to plague America. In 2024 alone, health savings accounts, pharmacies, and major hospitals have all fallen victim to such attacks. However, one data breach stands out - that of Change Healthcare, which exposed the data of a vast majority of people.

Unraveling the Crisis of Health Care Cybersecurity

Health Care Data Breaches in 2024

Each year, an increasing number of Americans find themselves affected by health care data breaches. In 2024, the situation became particularly concerning as multiple entities such as health savings accounts, pharmacies, and major hospitals were targeted. Among them, Change Healthcare emerged as the major culprit, with its breach having a significant impact.

The scale and reach of this breach were alarming, highlighting the vulnerability of the health care system. It raised questions about the security measures in place and the need for stronger safeguards to protect patient data.

Lawmaker's Concerns and Government's Role

This year, lawmakers have been actively questioning health care industry experts about the occurrence of the massive and disruptive Change Healthcare breach. They seek answers as to why such an incident was allowed to happen and what the government should do to enhance overall health care cybersecurity.

The government's role in addressing this issue is crucial. It needs to take proactive measures to ensure the safety of patient data and prevent similar breaches from occurring in the future. This includes strengthening regulations and collaborating with the health care industry to improve security protocols.

The Current State of Health Care Data Privacy Laws

Experts have pointed out that current health care data privacy laws have their limitations. While they may be effective in protecting a corpse's health information, they often fall short when it comes to keeping patients alive and safeguarding their data during cyberattacks at hospitals.

Cyberattacks at hospitals can have dire consequences, putting lives at risk and often resulting in worse outcomes for patients. In some cases, hospitals have been forced to close, and nursing homes have even faced bankruptcy due to these breaches.

STAT Health Tech Reporter's Insights

In this video, Brittany Trang, the STAT health tech reporter, provides valuable insights into why health care cybersecurity is in such a bad state. She explores the various factors contributing to the vulnerability of the system and the efforts being made by the government and the health care industry to fix it.

Through her reporting, she sheds light on the importance of addressing this issue and the steps that need to be taken to ensure the security of patient data. Her work serves as a reminder of the critical nature of health care cybersecurity in today's digital age.

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Early Adoption of Tech in Med Schools for Health Care
2024-12-04
Medical schools play a crucial role in preparing health care professionals for the high-tech future. A Texas A&M dean emphasizes the need for early adoption of technologies. Getty Images showcases a glimpse of what the future might hold - a robot recording vital signs and communicating with patients. Dr. Amy Waer, the Jean and Tom McMullin endowed dean of the Texas A&M University College of Medicine, is optimistic about this technological evolution.

Empowering Medical Education with Early-Tech Adoption

Early Adoption in Medical Education

In the field of health and medicine, emerging technologies offer endless possibilities. Wearables, 3D-printed medication, and robot-assisted surgeries are just some of the advancements. As one Mays Business School professor highlights, training college students in AI usage is essential. Dr. Waer, an advocate for early adoption, recalls her own medical school experience. In the 1990s, while training as a general surgery resident, laparoscopic surgery was emerging. Some general surgeons were skeptical, but OB-GYNS saw its potential and led the way. Now, laparoscopic surgery is the standard. Waer believes that generative AI will revolutionize healthcare, and medical schools need to be at the forefront.

The Texas A&M University College of Medicine, established in 1977 and approaching its 50th anniversary, is well-suited for early adoption due to its dispersed regional campus model. With campuses in Bryan-College Station, Houston, Round Rock, and Dallas, integrating technological advancements into the academic curriculum is a priority. This ensures that students are prepared for the diverse healthcare environments they will encounter.

Exploring AI in Medical Education

The college has initially focused on using AI for educational purposes. Tools are being developed to assist first-year medical students. Specifically, they are investigating the use of AI-generated personal assistants to provide individualized tutoring and knowledge testing. The hope is to launch a pilot project in the next year. Students desire individual human tutors, but the shortage of senior medical students and faculty makes this challenging. AI offers a solution to provide the necessary support throughout medical school and into their careers.

Dr. Waer also envisions adding patient digital assistants to the health hub in Bryan. By leveraging AI, they aim to help patients navigate the complex healthcare system. Innovation is not just a buzzword; it is about putting technology into practice to enhance healthcare. The college wants to train Aggie doctors to be proficient in using these technologies.

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